add and update samples for CUDA 11.6

This commit is contained in:
Rutwik Choughule
2022-01-13 11:35:24 +05:30
parent 11de19f00c
commit 2e41896e1b
4615 changed files with 178150 additions and 181350 deletions

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{
"configurations": [
{
"name": "Linux",
"includePath": [
"${workspaceFolder}/**",
"${workspaceFolder}/../../../Common"
],
"defines": [],
"compilerPath": "/usr/local/cuda/bin/nvcc",
"cStandard": "gnu17",
"cppStandard": "gnu++14",
"intelliSenseMode": "linux-gcc-x64",
"configurationProvider": "ms-vscode.makefile-tools"
}
],
"version": 4
}

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{
"recommendations": [
"nvidia.nsight-vscode-edition",
"ms-vscode.cpptools",
"ms-vscode.makefile-tools"
]
}

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{
"configurations": [
{
"name": "CUDA C++: Launch",
"type": "cuda-gdb",
"request": "launch",
"program": "${workspaceFolder}/MC_SingleAsianOptionP"
}
]
}

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{
"version": "2.0.0",
"tasks": [
{
"label": "sample",
"type": "shell",
"command": "make dbg=1",
"problemMatcher": ["$nvcc"],
"group": {
"kind": "build",
"isDefault": true
}
}
]
}

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2017
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "MC_SingleAsianOptionP", "MC_SingleAsianOptionP_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
Release|x64 = Release|x64
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
EndGlobal

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<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<PropertyGroup>
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
</PropertyGroup>
<ItemGroup Label="ProjectConfigurations">
<ProjectConfiguration Include="Debug|x64">
<Configuration>Debug</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
<ProjectConfiguration Include="Release|x64">
<Configuration>Release</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
</ItemGroup>
<PropertyGroup Label="Globals">
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
<RootNamespace>MC_SingleAsianOptionP_vs2017</RootNamespace>
<ProjectName>MC_SingleAsianOptionP</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<PropertyGroup Condition="'$(WindowsTargetPlatformVersion)'==''">
<LatestTargetPlatformVersion>$([Microsoft.Build.Utilities.ToolLocationHelper]::GetLatestSDKTargetPlatformVersion('Windows', '10.0'))</LatestTargetPlatformVersion>
<WindowsTargetPlatformVersion Condition="'$(WindowsTargetPlatformVersion)' == ''">$(LatestTargetPlatformVersion)</WindowsTargetPlatformVersion>
<TargetPlatformVersion>$(WindowsTargetPlatformVersion)</TargetPlatformVersion>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v141</PlatformToolset>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.props" />
</ImportGroup>
<ImportGroup Label="PropertySheets">
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
</ImportGroup>
<PropertyGroup Label="UserMacros" />
<PropertyGroup>
<IntDir>$(Platform)/$(Configuration)/</IntDir>
<IncludePath>$(IncludePath)</IncludePath>
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
<CodeAnalysisRules />
<CodeAnalysisRuleAssemblies />
</PropertyGroup>
<PropertyGroup Condition="'$(Platform)'=='x64'">
<OutDir>../../../bin/win64/$(Configuration)/</OutDir>
</PropertyGroup>
<ItemDefinitionGroup>
<ClCompile>
<WarningLevel>Level3</WarningLevel>
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);</AdditionalIncludeDirectories>
</ClCompile>
<Link>
<SubSystem>Console</SubSystem>
<AdditionalDependencies>curand.lib;cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
<OutputFile>$(OutDir)/MC_SingleAsianOptionP.exe</OutputFile>
</Link>
<CudaCompile>
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
<Include>./;../../../Common</Include>
<Defines>WIN32</Defines>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MT</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemGroup>
<ClCompile Include="src/main.cpp" />
<CudaCompile Include="src/pricingengine.cu" />
<ClCompile Include="src/test.cpp" />
<ClInclude Include="inc/asianoption.h" />
<ClInclude Include="inc/cudasharedmem.h" />
<ClInclude Include="inc/pricingengine.h" />
<ClInclude Include="inc/test.h" />
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
</ImportGroup>
</Project>

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2019
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "MC_SingleAsianOptionP", "MC_SingleAsianOptionP_vs2019.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
Release|x64 = Release|x64
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
EndGlobal

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@@ -0,0 +1,113 @@
<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<PropertyGroup>
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
</PropertyGroup>
<ItemGroup Label="ProjectConfigurations">
<ProjectConfiguration Include="Debug|x64">
<Configuration>Debug</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
<ProjectConfiguration Include="Release|x64">
<Configuration>Release</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
</ItemGroup>
<PropertyGroup Label="Globals">
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
<RootNamespace>MC_SingleAsianOptionP_vs2019</RootNamespace>
<ProjectName>MC_SingleAsianOptionP</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v142</PlatformToolset>
<WindowsTargetPlatformVersion>10.0</WindowsTargetPlatformVersion>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.props" />
</ImportGroup>
<ImportGroup Label="PropertySheets">
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
</ImportGroup>
<PropertyGroup Label="UserMacros" />
<PropertyGroup>
<IntDir>$(Platform)/$(Configuration)/</IntDir>
<IncludePath>$(IncludePath)</IncludePath>
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
<CodeAnalysisRules />
<CodeAnalysisRuleAssemblies />
</PropertyGroup>
<PropertyGroup Condition="'$(Platform)'=='x64'">
<OutDir>../../../bin/win64/$(Configuration)/</OutDir>
</PropertyGroup>
<ItemDefinitionGroup>
<ClCompile>
<WarningLevel>Level3</WarningLevel>
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);</AdditionalIncludeDirectories>
</ClCompile>
<Link>
<SubSystem>Console</SubSystem>
<AdditionalDependencies>curand.lib;cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
<OutputFile>$(OutDir)/MC_SingleAsianOptionP.exe</OutputFile>
</Link>
<CudaCompile>
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
<Include>./;../../../Common</Include>
<Defines>WIN32</Defines>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MT</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemGroup>
<ClCompile Include="src/main.cpp" />
<CudaCompile Include="src/pricingengine.cu" />
<ClCompile Include="src/test.cpp" />
<ClInclude Include="inc/asianoption.h" />
<ClInclude Include="inc/cudasharedmem.h" />
<ClInclude Include="inc/pricingengine.h" />
<ClInclude Include="inc/test.h" />
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
</ImportGroup>
</Project>

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2022
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "MC_SingleAsianOptionP", "MC_SingleAsianOptionP_vs2022.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
Release|x64 = Release|x64
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
EndGlobal

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@@ -0,0 +1,113 @@
<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<PropertyGroup>
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
</PropertyGroup>
<ItemGroup Label="ProjectConfigurations">
<ProjectConfiguration Include="Debug|x64">
<Configuration>Debug</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
<ProjectConfiguration Include="Release|x64">
<Configuration>Release</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
</ItemGroup>
<PropertyGroup Label="Globals">
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
<RootNamespace>MC_SingleAsianOptionP_vs2022</RootNamespace>
<ProjectName>MC_SingleAsianOptionP</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v143</PlatformToolset>
<WindowsTargetPlatformVersion>10.0</WindowsTargetPlatformVersion>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.props" />
</ImportGroup>
<ImportGroup Label="PropertySheets">
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
</ImportGroup>
<PropertyGroup Label="UserMacros" />
<PropertyGroup>
<IntDir>$(Platform)/$(Configuration)/</IntDir>
<IncludePath>$(IncludePath)</IncludePath>
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
<CodeAnalysisRules />
<CodeAnalysisRuleAssemblies />
</PropertyGroup>
<PropertyGroup Condition="'$(Platform)'=='x64'">
<OutDir>../../../bin/win64/$(Configuration)/</OutDir>
</PropertyGroup>
<ItemDefinitionGroup>
<ClCompile>
<WarningLevel>Level3</WarningLevel>
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);</AdditionalIncludeDirectories>
</ClCompile>
<Link>
<SubSystem>Console</SubSystem>
<AdditionalDependencies>curand.lib;cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
<OutputFile>$(OutDir)/MC_SingleAsianOptionP.exe</OutputFile>
</Link>
<CudaCompile>
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
<Include>./;../../../Common</Include>
<Defines>WIN32</Defines>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MT</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemGroup>
<ClCompile Include="src/main.cpp" />
<CudaCompile Include="src/pricingengine.cu" />
<ClCompile Include="src/test.cpp" />
<ClInclude Include="inc/asianoption.h" />
<ClInclude Include="inc/cudasharedmem.h" />
<ClInclude Include="inc/pricingengine.h" />
<ClInclude Include="inc/test.h" />
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
</ImportGroup>
</Project>

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@@ -0,0 +1,348 @@
################################################################################
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
################################################################################
#
# Makefile project only supported on Mac OS X and Linux Platforms)
#
################################################################################
# Location of the CUDA Toolkit
CUDA_PATH ?= /usr/local/cuda
##############################
# start deprecated interface #
##############################
ifeq ($(x86_64),1)
$(info WARNING - x86_64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=x86_64 instead)
TARGET_ARCH ?= x86_64
endif
ifeq ($(ARMv7),1)
$(info WARNING - ARMv7 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=armv7l instead)
TARGET_ARCH ?= armv7l
endif
ifeq ($(aarch64),1)
$(info WARNING - aarch64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=aarch64 instead)
TARGET_ARCH ?= aarch64
endif
ifeq ($(ppc64le),1)
$(info WARNING - ppc64le variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=ppc64le instead)
TARGET_ARCH ?= ppc64le
endif
ifneq ($(GCC),)
$(info WARNING - GCC variable has been deprecated)
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
HOST_COMPILER ?= $(GCC)
endif
ifneq ($(abi),)
$(error ERROR - abi variable has been removed)
endif
############################
# end deprecated interface #
############################
# architecture
HOST_ARCH := $(shell uname -m)
TARGET_ARCH ?= $(HOST_ARCH)
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
# sbsa and aarch64 systems look similar. Need to differentiate them at host level for now.
ifeq ($(HOST_ARCH),aarch64)
ifeq ($(CUDA_PATH)/targets/sbsa-linux,$(shell ls -1d $(CUDA_PATH)/targets/sbsa-linux 2>/dev/null))
HOST_ARCH := sbsa
TARGET_ARCH := sbsa
endif
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-sbsa x86_64-ppc64le))
$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
endif
endif
# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
TARGET_ARCH = armv7l
endif
# operating system
HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
TARGET_OS ?= $(HOST_OS)
ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
endif
# host compiler
ifeq ($(TARGET_OS),darwin)
ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
HOST_COMPILER ?= clang++
endif
else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
ifeq ($(TARGET_OS),linux)
HOST_COMPILER ?= arm-linux-gnueabihf-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
else ifeq ($(TARGET_OS),android)
HOST_COMPILER ?= arm-linux-androideabi-g++
endif
else ifeq ($(TARGET_ARCH),aarch64)
ifeq ($(TARGET_OS), linux)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/q++
else ifeq ($(TARGET_OS), android)
HOST_COMPILER ?= aarch64-linux-android-clang++
endif
else ifeq ($(TARGET_ARCH),sbsa)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_ARCH),ppc64le)
HOST_COMPILER ?= powerpc64le-linux-gnu-g++
endif
endif
HOST_COMPILER ?= g++
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
# internal flags
NVCCFLAGS := -m${TARGET_SIZE}
CCFLAGS :=
LDFLAGS :=
# build flags
ifeq ($(TARGET_OS),darwin)
LDFLAGS += -rpath $(CUDA_PATH)/lib
CCFLAGS += -arch $(HOST_ARCH)
else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
CCFLAGS += -mfloat-abi=hard
else ifeq ($(TARGET_OS),android)
LDFLAGS += -pie
CCFLAGS += -fpie -fpic -fexceptions
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
endif
endif
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib -L$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/lib/aarch64-linux-gnu -L$(TARGET_FS)/lib/aarch64-linux-gnu
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib -L$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/aarch64-linux-gnu -L$(TARGET_FS)/usr/lib/aarch64-linux-gnu
LDFLAGS += --unresolved-symbols=ignore-in-shared-libs
CCFLAGS += -isystem=$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include/libdrm
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu -I$(TARGET_FS)/usr/include/aarch64-linux-gnu
endif
endif
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
NVCCFLAGS += -D_QNX_SOURCE
NVCCFLAGS += --qpp-config 8.3.0,gcc_ntoaarch64le
CCFLAGS += -DWIN_INTERFACE_CUSTOM -I/usr/include/aarch64-qnx-gnu
LDFLAGS += -lsocket
LDFLAGS += -L/usr/lib/aarch64-qnx-gnu
CCFLAGS += "-Wl\,-rpath-link\,/usr/lib/aarch64-qnx-gnu"
ifdef TARGET_OVERRIDE
LDFLAGS += -lslog2
endif
ifneq ($(TARGET_FS),)
LDFLAGS += -L$(TARGET_FS)/usr/lib
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/lib"
LDFLAGS += -L$(TARGET_FS)/usr/libnvidia
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/libnvidia"
CCFLAGS += -I$(TARGET_FS)/../include
endif
endif
endif
ifdef TARGET_OVERRIDE # cuda toolkit targets override
NVCCFLAGS += -target-dir $(TARGET_OVERRIDE)
endif
# Install directory of different arch
CUDA_INSTALL_TARGET_DIR :=
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-gnueabihf/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),sbsa-linux)
CUDA_INSTALL_TARGET_DIR = targets/sbsa-linux/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-androideabi/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux-androideabi/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
CUDA_INSTALL_TARGET_DIR = targets/ARMv7-linux-QNX/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-qnx/
else ifeq ($(TARGET_ARCH),ppc64le)
CUDA_INSTALL_TARGET_DIR = targets/ppc64le-linux/
endif
# Debug build flags
ifeq ($(dbg),1)
NVCCFLAGS += -g -G
BUILD_TYPE := debug
else
BUILD_TYPE := release
endif
ALL_CCFLAGS :=
ALL_CCFLAGS += $(NVCCFLAGS)
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))
SAMPLE_ENABLED := 1
ALL_LDFLAGS :=
ALL_LDFLAGS += $(ALL_CCFLAGS)
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))
# Common includes and paths for CUDA
INCLUDES := -I../../../Common
LIBRARIES :=
################################################################################
# Gencode arguments
ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64 sbsa))
SMS ?= 53 61 70 72 75 80 86 87
else
SMS ?= 35 37 50 52 60 61 70 75 80 86
endif
ifeq ($(SMS),)
$(info >>> WARNING - no SM architectures have been specified - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
ifeq ($(GENCODE_FLAGS),)
# Generate SASS code for each SM architecture listed in $(SMS)
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
HIGHEST_SM := $(lastword $(sort $(SMS)))
ifneq ($(HIGHEST_SM),)
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
endif
endif
ALL_CCFLAGS += --threads 0 --std=c++11
LIBRARIES += -lcurand
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: MC_SingleAsianOptionP
check.deps:
ifeq ($(SAMPLE_ENABLED),0)
@echo "Sample will be waived due to the above missing dependencies"
else
@echo "Sample is ready - all dependencies have been met"
endif
main.o:src/main.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
pricingengine.o:src/pricingengine.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
test.o:src/test.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
MC_SingleAsianOptionP: main.o pricingengine.o test.o
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
$(EXEC) mkdir -p ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
$(EXEC) cp $@ ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
run: build
$(EXEC) ./MC_SingleAsianOptionP
testrun: build
clean:
rm -f MC_SingleAsianOptionP main.o pricingengine.o test.o
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/MC_SingleAsianOptionP
clobber: clean

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>MC_SingleAsianOptionP</name>
<cuda_api_list>
<toolkit>cudaFree</toolkit>
<toolkit>cudaFuncGetAttributes</toolkit>
<toolkit>cudaGetDeviceCount</toolkit>
<toolkit>cudaMalloc</toolkit>
<toolkit>cudaSetDevice</toolkit>
<toolkit>cudaMemcpy</toolkit>
<toolkit>cudaGetErrorString</toolkit>
<toolkit>cudaGetDeviceProperties</toolkit>
</cuda_api_list>
<description><![CDATA[This sample uses Monte Carlo to simulate Single Asian Options using the NVIDIA CURAND library.]]></description>
<devicecompilation>whole</devicecompilation>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../../Common</path>
</includepaths>
<keyconcepts>
<concept level="advanced">Random Number Generator</concept>
<concept level="advanced">Computational Finance</concept>
<concept level="advanced">CURAND Library</concept>
</keyconcepts>
<keywords>
<keyword>CUDA</keyword>
<keyword>CURAND</keyword>
<keyword>GPGPU</keyword>
<keyword>Monte Carlo</keyword>
<keyword>rng</keyword>
<keyword>prng</keyword>
<keyword>qrng</keyword>
<keyword>random number</keyword>
</keywords>
<libraries>
<library>curand</library>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>src\main.cpp</primary_file>
<required_dependencies>
<dependency>CURAND</dependency>
</required_dependencies>
<scopes>
<scope>1:CUDA Advanced Topics</scope>
<scope>3:Computational Finance</scope>
</scopes>
<sm-arch>sm35</sm-arch>
<sm-arch>sm37</sm-arch>
<sm-arch>sm50</sm-arch>
<sm-arch>sm52</sm-arch>
<sm-arch>sm53</sm-arch>
<sm-arch>sm60</sm-arch>
<sm-arch>sm61</sm-arch>
<sm-arch>sm70</sm-arch>
<sm-arch>sm72</sm-arch>
<sm-arch>sm75</sm-arch>
<sm-arch>sm80</sm-arch>
<sm-arch>sm86</sm-arch>
<sm-arch>sm87</sm-arch>
<supported_envs>
<env>
<arch>x86_64</arch>
<platform>linux</platform>
</env>
<env>
<platform>windows7</platform>
</env>
<env>
<arch>x86_64</arch>
<platform>macosx</platform>
</env>
<env>
<arch>arm</arch>
</env>
<env>
<arch>sbsa</arch>
</env>
<env>
<arch>ppc64le</arch>
<platform>linux</platform>
</env>
</supported_envs>
<supported_sm_architectures>
<include>all</include>
</supported_sm_architectures>
<title>Monte Carlo Single Asian Option</title>
<type>exe</type>
</entry>

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# MC_SingleAsianOptionP - Monte Carlo Single Asian Option
## Description
This sample uses Monte Carlo to simulate Single Asian Options using the NVIDIA CURAND library.
## Key Concepts
Random Number Generator, Computational Finance, CURAND Library
## Supported SM Architectures
[SM 3.5 ](https://developer.nvidia.com/cuda-gpus) [SM 3.7 ](https://developer.nvidia.com/cuda-gpus) [SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 5.3 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
## CUDA APIs involved
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
cudaFree, cudaFuncGetAttributes, cudaGetDeviceCount, cudaMalloc, cudaSetDevice, cudaMemcpy, cudaGetErrorString, cudaGetDeviceProperties
## Dependencies needed to build/run
[CURAND](../../README.md#curand)
## Prerequisites
Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run
### Windows
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
```
*_vs<version>.sln - for Visual Studio <version>
```
Each individual sample has its own set of solution files in its directory:
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
### Linux
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
```
$ cd <sample_dir>
$ make
```
The samples makefiles can take advantage of certain options:
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
* **dbg=1** - build with debug symbols
```
$ make dbg=1
```
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
```
$ make SMS="50 60"
```
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
```
$ make HOST_COMPILER=g++
```
## References (for more details)

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef ASIANOPTION_H
#define ASIANOPTION_H
template <typename Real>
struct AsianOption {
enum CallPut { Call, Put };
// Parameters
Real spot;
Real strike;
Real r;
Real sigma;
Real tenor;
Real dt;
// Value
Real golden;
Real value;
// Option type
CallPut type;
};
#endif

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CUDASHAREDMEM_H
#define CUDASHAREDMEM_H
//****************************************************************************
// Because dynamically sized shared memory arrays are declared "extern",
// we can't templatize them directly. To get around this, we declare a
// simple wrapper struct that will declare the extern array with a different
// name depending on the type. This avoids compiler errors about duplicate
// definitions.
//
// To use dynamically allocated shared memory in a templatized __global__ or
// __device__ function, just replace code like this:
// template<class T>
// __global__ void
// foo( T* g_idata, T* g_odata)
// {
// // Shared mem size is determined by the host app at run time
// extern __shared__ T sdata[];
// ...
// x = sdata[i];
// sdata[i] = x;
// ...
// }
//
// With this:
// template<class T>
// __global__ void
// foo( T* g_idata, T* g_odata)
// {
// // Shared mem size is determined by the host app at run time
// SharedMemory<T> sdata;
// ...
// x = sdata[i];
// sdata[i] = x;
// ...
// }
//****************************************************************************
// This is the un-specialized struct. Note that we prevent instantiation of
// this struct by making it abstract (i.e. with pure virtual methods).
template <typename T>
struct SharedMemory {
// Ensure that we won't compile any un-specialized types
virtual __device__ T &operator*() = 0;
virtual __device__ T &operator[](int i) = 0;
};
#define BUILD_SHAREDMEMORY_TYPE(t, n) \
template <> \
struct SharedMemory<t> { \
__device__ t &operator*() { \
extern __shared__ t n[]; \
return *n; \
} \
__device__ t &operator[](int i) { \
extern __shared__ t n[]; \
return n[i]; \
} \
}
BUILD_SHAREDMEMORY_TYPE(int, s_int);
BUILD_SHAREDMEMORY_TYPE(unsigned int, s_uint);
BUILD_SHAREDMEMORY_TYPE(char, s_char);
BUILD_SHAREDMEMORY_TYPE(unsigned char, s_uchar);
BUILD_SHAREDMEMORY_TYPE(short, s_short);
BUILD_SHAREDMEMORY_TYPE(unsigned short, s_ushort);
BUILD_SHAREDMEMORY_TYPE(long, s_long);
BUILD_SHAREDMEMORY_TYPE(unsigned long, s_ulong);
BUILD_SHAREDMEMORY_TYPE(bool, s_bool);
BUILD_SHAREDMEMORY_TYPE(float, s_float);
BUILD_SHAREDMEMORY_TYPE(double, s_double);
#endif

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef PRICINGENGINE_H
#define PRICINGENGINE_H
#include "asianoption.h"
template <typename Real>
class PricingEngine {
public:
PricingEngine(unsigned int numSims, unsigned int device,
unsigned int threadBlockSize, unsigned int seed);
void operator()(AsianOption<Real> &option);
private:
unsigned int m_seed;
unsigned int m_numSims;
unsigned int m_device;
unsigned int m_threadBlockSize;
};
#endif

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef TEST_H
#define TEST_H
template <typename Real>
struct Test {
Test() : pass(false){};
int device;
unsigned int numSims;
unsigned int threadBlockSize;
unsigned int seed;
bool pass;
double elapsedTime;
bool operator()();
};
// Defaults are arbitrary to give sensible runtime
#define k_sims_min 100000
#define k_sims_max 1000000
#define k_sims_def 100000
#define k_sims_qa 100000
#define k_bsize_min 32
#define k_bsize_def 128
#define k_bsize_qa 128
#define k_seed_def 1234
#define k_seed_qa 1234
#endif

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@@ -0,0 +1,249 @@
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
///////////////////////////////////////////////////////////////////////////////
// Monte Carlo: Single Asian Option
// ================================
//
// This sample demonstrates pricing a single European-exercise average-price
// Asian option (arithmetic discrete average).
//
// This file, main.cpp, contains the setup information to run the test, for
// example parsing the command line and integrating this sample with the
// samples framework. As such it is perhaps less interesting than the guts of
// the sample. Readers wishing to skip the clutter are advised to skip straight
// to Test.operator() in test.cpp.
///////////////////////////////////////////////////////////////////////////////
#include <iostream>
#include <iomanip>
#include <stdexcept>
#include <cuda_runtime.h>
#include <helper_timer.h>
#include <helper_cuda.h>
#include "../inc/test.h"
// Forward declarations
void showHelp(const int argc, const char **argv);
template <typename Real>
void runTest(int argc, const char **argv);
int main(int argc, char **argv) {
using std::invalid_argument;
using std::string;
// Open the log file
printf("Monte Carlo Single Asian Option (with PRNG)\n");
printf("===========================================\n\n");
// If help flag is set, display help and exit immediately
if (checkCmdLineFlag(argc, (const char **)argv, "help")) {
printf("Displaying help on console\n");
showHelp(argc, (const char **)argv);
exit(EXIT_SUCCESS);
}
// Check the precision (checked against the device capability later)
try {
char *value;
if (getCmdLineArgumentString(argc, (const char **)argv, "precision",
&value)) {
// Check requested precision is valid
string prec(value);
if (prec.compare("single") == 0 || prec.compare("\"single\"") == 0) {
runTest<float>(argc, (const char **)argv);
} else if (prec.compare("double") == 0 ||
prec.compare("\"double\"") == 0) {
runTest<double>(argc, (const char **)argv);
} else {
printf(
"specified precision (%s) is invalid, must be \"single\" or "
"\"double\".\n",
value);
throw invalid_argument("precision");
}
} else {
runTest<float>(argc, (const char **)argv);
}
} catch (invalid_argument &e) {
printf("invalid command line argument (%s)\n", e.what());
exit(EXIT_FAILURE);
}
// Finish
exit(EXIT_SUCCESS);
}
template <typename Real>
void runTest(int argc, const char **argv) {
using std::invalid_argument;
using std::runtime_error;
try {
Test<Real> test;
int deviceCount = 0;
cudaError_t cudaResult = cudaSuccess;
// by default specify GPU Device == 0
test.device = 0;
// Get number of available devices
cudaResult = cudaGetDeviceCount(&deviceCount);
if (cudaResult != cudaSuccess) {
printf("could not get device count.\n");
throw runtime_error("cudaGetDeviceCount");
}
// (default parameters)
test.numSims = k_sims_qa;
test.threadBlockSize = k_bsize_qa;
test.seed = k_seed_qa;
{
char *value = 0;
if (getCmdLineArgumentString(argc, argv, "device", &value)) {
test.device = (int)atoi(value);
if (test.device >= deviceCount) {
printf(
"invalid target device specified on command line (device %d does "
"not exist).\n",
test.device);
throw invalid_argument("device");
}
} else {
test.device = gpuGetMaxGflopsDeviceId();
}
if (getCmdLineArgumentString(argc, argv, "sims", &value)) {
test.numSims = (unsigned int)atoi(value);
if (test.numSims < k_sims_min || test.numSims > k_sims_max) {
printf(
"specified number of simulations (%d) is invalid, must be "
"between %d and %d.\n",
test.numSims, k_sims_min, k_sims_max);
throw invalid_argument("sims");
}
} else {
test.numSims = k_sims_def;
}
if (getCmdLineArgumentString(argc, argv, "block-size", &value)) {
// Determine max threads per block
cudaDeviceProp deviceProperties;
cudaResult = cudaGetDeviceProperties(&deviceProperties, test.device);
if (cudaResult != cudaSuccess) {
printf("cound not get device properties for device %d.\n",
test.device);
throw runtime_error("cudaGetDeviceProperties");
}
// Check requested size is valid
test.threadBlockSize = (unsigned int)atoi(value);
if (test.threadBlockSize < k_bsize_min ||
test.threadBlockSize > static_cast<unsigned int>(
deviceProperties.maxThreadsPerBlock)) {
printf(
"specified block size (%d) is invalid, must be between %d and %d "
"for device %d.\n",
test.threadBlockSize, k_bsize_min,
deviceProperties.maxThreadsPerBlock, test.device);
throw invalid_argument("block-size");
}
if (test.threadBlockSize & test.threadBlockSize - 1) {
printf(
"specified block size (%d) is invalid, must be a power of two "
"(see reduction function).\n",
test.threadBlockSize);
throw invalid_argument("block-size");
}
} else {
test.threadBlockSize = k_bsize_def;
}
if (getCmdLineArgumentString(argc, argv, "seed", &value)) {
// Check requested seed is valid
test.seed = (unsigned int)atoi(value);
if (test.seed == 0) {
printf("specified seed (%d) is invalid, must be non-zero.\n",
test.seed);
throw invalid_argument("seed");
}
} else {
test.seed = k_seed_def;
}
}
// Execute
test();
} catch (invalid_argument &e) {
printf("invalid command line argument (%s)\n", e.what());
exit(EXIT_FAILURE);
} catch (runtime_error &e) {
printf("runtime error (%s)\n", e.what());
exit(EXIT_FAILURE);
}
}
void showHelp(int argc, const char **argv) {
using std::cout;
using std::endl;
using std::left;
using std::setw;
if (argc > 0) {
cout << endl << argv[0] << endl;
}
cout << endl << "Syntax:" << endl;
cout << left;
cout << " " << setw(20) << "--device=<device>"
<< "Specify device to use for execution" << endl;
cout << " " << setw(20) << "--sims=<N>"
<< "Specify number of Monte Carlo simulations" << endl;
cout << " " << setw(20) << "--block-size=<N>"
<< "Specify number of threads per block" << endl;
cout << " " << setw(20) << "--seed=<N>"
<< "Specify the seed to use for the random number generator" << endl;
cout << " " << setw(20) << "--precision=<P>"
<< "Specify the precision (\"single\" or \"double\")" << endl;
cout << endl;
cout << " " << setw(20) << "--noprompt"
<< "Skip prompt before exit" << endl;
cout << endl;
}

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "../inc/pricingengine.h"
#include <string>
#include <vector>
#include <numeric>
#include <stdexcept>
#include <typeinfo>
#include <cuda_runtime.h>
#include <cooperative_groups.h>
namespace cg = cooperative_groups;
#include <curand_kernel.h>
#include "../inc/asianoption.h"
#include "../inc/cudasharedmem.h"
using std::string;
using std::vector;
// RNG init kernel
__global__ void initRNG(curandState *const rngStates, const unsigned int seed) {
// Determine thread ID
unsigned int tid = blockIdx.x * blockDim.x + threadIdx.x;
// Initialise the RNG
curand_init(seed, tid, 0, &rngStates[tid]);
}
__device__ inline float getPathStep(float &drift, float &diffusion,
curandState &state) {
return expf(drift + diffusion * curand_normal(&state));
}
__device__ inline double getPathStep(double &drift, double &diffusion,
curandState &state) {
return exp(drift + diffusion * curand_normal_double(&state));
}
// Path generation kernel
template <typename Real>
__global__ void generatePaths(Real *const paths, curandState *const rngStates,
const AsianOption<Real> *const option,
const unsigned int numSims,
const unsigned int numTimesteps) {
// Determine thread ID
unsigned int tid = blockIdx.x * blockDim.x + threadIdx.x;
unsigned int step = gridDim.x * blockDim.x;
// Compute parameters
Real drift =
(option->r - static_cast<Real>(0.5) * option->sigma * option->sigma) *
option->dt;
Real diffusion = option->sigma * sqrt(option->dt);
// Initialise the RNG
curandState localState = rngStates[tid];
for (unsigned int i = tid; i < numSims; i += step) {
// Shift the output pointer
Real *output = paths + i;
// Simulate the path
Real s = static_cast<Real>(1);
for (unsigned int t = 0; t < numTimesteps; t++, output += numSims) {
s *= getPathStep(drift, diffusion, localState);
*output = s;
}
}
}
template <typename Real>
__device__ Real reduce_sum(Real in, cg::thread_block cta) {
SharedMemory<Real> sdata;
// Perform first level of reduction:
// - Write to shared memory
unsigned int ltid = threadIdx.x;
sdata[ltid] = in;
cg::sync(cta);
// Do reduction in shared mem
for (unsigned int s = blockDim.x / 2; s > 0; s >>= 1) {
if (ltid < s) {
sdata[ltid] += sdata[ltid + s];
}
cg::sync(cta);
}
return sdata[0];
}
// Valuation kernel
template <typename Real>
__global__ void computeValue(Real *const values, const Real *const paths,
const AsianOption<Real> *const option,
const unsigned int numSims,
const unsigned int numTimesteps) {
// Handle to thread block group
cg::thread_block cta = cg::this_thread_block();
// Determine thread ID
unsigned int bid = blockIdx.x;
unsigned int tid = blockIdx.x * blockDim.x + threadIdx.x;
unsigned int step = gridDim.x * blockDim.x;
Real sumPayoffs = static_cast<Real>(0);
for (unsigned int i = tid; i < numSims; i += step) {
// Shift the input pointer
const Real *path = paths + i;
// Compute the arithmetic average
Real avg = static_cast<Real>(0);
for (unsigned int t = 0; t < numTimesteps; t++, path += numSims) {
avg += *path;
}
avg = avg * option->spot / numTimesteps;
// Compute the payoff
Real payoff = avg - option->strike;
if (option->type == AsianOption<Real>::Put) {
payoff = -payoff;
}
payoff = max(static_cast<Real>(0), payoff);
// Accumulate payoff locally
sumPayoffs += payoff;
}
// Reduce within the block
sumPayoffs = reduce_sum<Real>(sumPayoffs, cta);
// Store the result
if (threadIdx.x == 0) {
values[bid] = sumPayoffs;
}
}
template <typename Real>
PricingEngine<Real>::PricingEngine(unsigned int numSims, unsigned int device,
unsigned int threadBlockSize,
unsigned int seed)
: m_numSims(numSims),
m_device(device),
m_threadBlockSize(threadBlockSize),
m_seed(seed) {}
template <typename Real>
void PricingEngine<Real>::operator()(AsianOption<Real> &option) {
cudaError_t cudaResult = cudaSuccess;
struct cudaDeviceProp deviceProperties;
struct cudaFuncAttributes funcAttributes;
// Get device properties
cudaResult = cudaGetDeviceProperties(&deviceProperties, m_device);
if (cudaResult != cudaSuccess) {
string msg("Could not get device properties: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Check precision is valid
unsigned int deviceVersion =
deviceProperties.major * 10 + deviceProperties.minor;
if (typeid(Real) == typeid(double) && deviceVersion < 13) {
throw std::runtime_error("Device does not have double precision support");
}
// Attach to GPU
cudaResult = cudaSetDevice(m_device);
if (cudaResult != cudaSuccess) {
string msg("Could not set CUDA device: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Determine how to divide the work between cores
dim3 block;
dim3 grid;
block.x = m_threadBlockSize;
grid.x = (m_numSims + m_threadBlockSize - 1) / m_threadBlockSize;
// Aim to launch around ten or more times as many blocks as there
// are multiprocessors on the target device.
unsigned int blocksPerSM = 10;
unsigned int numSMs = deviceProperties.multiProcessorCount;
while (grid.x > 2 * blocksPerSM * numSMs) {
grid.x >>= 1;
}
// Get initRNG function properties and check the maximum block size
cudaResult = cudaFuncGetAttributes(&funcAttributes, initRNG);
if (cudaResult != cudaSuccess) {
string msg("Could not get function attributes: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
if (block.x > (unsigned int)funcAttributes.maxThreadsPerBlock) {
throw std::runtime_error(
"Block X dimension is too large for initRNG kernel");
}
// Get generatePaths function properties and check the maximum block size
cudaResult = cudaFuncGetAttributes(&funcAttributes, generatePaths<Real>);
if (cudaResult != cudaSuccess) {
string msg("Could not get function attributes: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
if (block.x > (unsigned int)funcAttributes.maxThreadsPerBlock) {
throw std::runtime_error(
"Block X dimension is too large for generatePaths kernel");
}
// Get computeValue function properties and check the maximum block size
cudaResult = cudaFuncGetAttributes(&funcAttributes, computeValue<Real>);
if (cudaResult != cudaSuccess) {
string msg("Could not get function attributes: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
if (block.x > (unsigned int)funcAttributes.maxThreadsPerBlock) {
throw std::runtime_error(
"Block X dimension is too large for computeValue kernel");
}
// Setup problem on GPU
AsianOption<Real> *d_option = 0;
cudaResult = cudaMalloc((void **)&d_option, sizeof(AsianOption<Real>));
if (cudaResult != cudaSuccess) {
string msg("Could not allocate memory on device for option data: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
cudaResult = cudaMemcpy(d_option, &option, sizeof(AsianOption<Real>),
cudaMemcpyHostToDevice);
if (cudaResult != cudaSuccess) {
string msg("Could not copy data to device: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Allocate memory for paths
Real *d_paths = 0;
int numTimesteps = static_cast<int>(option.tenor / option.dt);
cudaResult =
cudaMalloc((void **)&d_paths, m_numSims * numTimesteps * sizeof(Real));
if (cudaResult != cudaSuccess) {
string msg("Could not allocate memory on device for paths: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Allocate memory for RNG states
curandState *d_rngStates = 0;
cudaResult =
cudaMalloc((void **)&d_rngStates, grid.x * block.x * sizeof(curandState));
if (cudaResult != cudaSuccess) {
string msg("Could not allocate memory on device for RNG state: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Allocate memory for result
Real *d_values = 0;
cudaResult = cudaMalloc((void **)&d_values, grid.x * sizeof(Real));
if (cudaResult != cudaSuccess) {
string msg("Could not allocate memory on device for partial results: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Initialise RNG
initRNG<<<grid, block>>>(d_rngStates, m_seed);
// Generate paths
generatePaths<Real><<<grid, block>>>(d_paths, d_rngStates, d_option,
m_numSims, numTimesteps);
// Compute value
computeValue<<<grid, block, block.x * sizeof(Real)>>>(
d_values, d_paths, d_option, m_numSims, numTimesteps);
// Copy partial results back
vector<Real> values(grid.x);
cudaResult = cudaMemcpy(&values[0], d_values, grid.x * sizeof(Real),
cudaMemcpyDeviceToHost);
if (cudaResult != cudaSuccess) {
string msg("Could not copy partial results to host: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// Complete sum-reduction on host
option.value =
std::accumulate(values.begin(), values.end(), static_cast<Real>(0));
// Compute the mean
option.value /= m_numSims;
// Discount to present value
option.value *= exp(-option.r * option.tenor);
// Cleanup
if (d_option) {
cudaFree(d_option);
d_option = 0;
}
if (d_paths) {
cudaFree(d_paths);
d_paths = 0;
}
if (d_rngStates) {
cudaFree(d_rngStates);
d_rngStates = 0;
}
if (d_values) {
cudaFree(d_values);
d_values = 0;
}
}
// Explicit template instantiation
template class PricingEngine<float>;
template class PricingEngine<double>;

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/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "../inc/test.h"
#include <sstream>
#include <iomanip>
#include <stdexcept>
#include <memory>
#include <iostream>
#include <cassert>
#include <typeinfo>
#include <stdio.h>
#include <cuda_runtime.h>
#include <math.h>
#include <helper_timer.h>
#include "../inc/asianoption.h"
#include "../inc/pricingengine.h"
template <typename Real>
bool Test<Real>::operator()() {
using std::endl;
using std::setw;
using std::stringstream;
StopWatchInterface *timer = NULL;
sdkCreateTimer(&timer);
// Get device properties
struct cudaDeviceProp deviceProperties;
cudaError_t cudaResult = cudaGetDeviceProperties(&deviceProperties, device);
if (cudaResult != cudaSuccess) {
std::string msg("Could not get device properties: ");
msg += cudaGetErrorString(cudaResult);
throw std::runtime_error(msg);
}
// This test prices a single Asian call option with European
// exercise, with the priced averaged arithmetically on discrete
// trading days (weekdays).
AsianOption<Real> option;
option.spot = static_cast<Real>(40);
option.strike = static_cast<Real>(35);
option.r = static_cast<Real>(0.03);
option.sigma = static_cast<Real>(0.20);
option.tenor = static_cast<Real>(1.0 / 3.0);
option.dt = static_cast<Real>(1.0 / 261);
option.type = AsianOption<Real>::Call;
option.value = static_cast<Real>(0.0);
option.golden = static_cast<Real>(5.162534);
// Evaluate on GPU
printf("Pricing option on GPU (%s)\n\n", deviceProperties.name);
PricingEngine<Real> pricer(numSims, device, threadBlockSize, seed);
sdkStartTimer(&timer);
pricer(option);
sdkStopTimer(&timer);
elapsedTime = sdkGetAverageTimerValue(&timer) / 1000.0f;
// Tolerance to compare result with expected
// This is just to check that nothing has gone very wrong with the
// test, the actual accuracy of the result depends on the number of
// Monte Carlo trials
const Real tolerance = static_cast<Real>(0.1);
// Display results
stringstream output;
output << "Precision: "
<< ((typeid(Real) == typeid(double)) ? "double" : "single") << endl;
output << "Number of sims: " << numSims << endl;
output << endl;
output << " Spot | Strike | r | sigma | tenor | "
"Call/Put | Value | Expected |"
<< endl;
output << "-----------|------------|------------|------------|------------|--"
"----------|------------|------------|"
<< endl;
output << setw(10) << option.spot << " | ";
output << setw(10) << option.strike << " | ";
output << setw(10) << option.r << " | ";
output << setw(10) << option.sigma << " | ";
output << setw(10) << option.tenor << " | ";
output << setw(10)
<< (option.type == AsianOption<Real>::Call ? "Call" : "Put") << " | ";
output << setw(10) << option.value << " | ";
output << setw(10) << option.golden << " |";
printf("%s\n\n", output.str().c_str());
// Check result
if (fabs(option.value - option.golden) > tolerance) {
printf("computed result (%e) does not match expected result (%e).\n",
option.value, option.golden);
pass = false;
} else {
pass = true;
}
// Print results
printf(
"MonteCarloSingleAsianOptionP, Performance = %.2f sims/s, Time = "
"%.2f(ms), NumDevsUsed = %u, Blocksize = %u\n",
numSims / elapsedTime, elapsedTime * 1000.0f, 1, threadBlockSize);
sdkDeleteTimer(&timer);
return pass;
}
// Explicit template instantiation
template struct Test<float>;
template struct Test<double>;