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}/cdpAdvancedQuicksort"
}
]
}

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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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################################################################################
# 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
# This sample is not supported on QNX
ifeq ($(TARGET_OS),qnx)
$(info >>> WARNING - cdpAdvancedQuicksort is not supported on QNX - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
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 :=
################################################################################
#Detect if installed version of GCC supports required C++14
ifeq ($(TARGET_OS),linux)
empty :=
space := $(empty) $(empty)
GCCVERSIONSTRING := $(shell expr `$(HOST_COMPILER) -dumpversion`)
#Create version number without "."
GCCVERSION := $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f1 -d.)
GCCVERSION += $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f2 -d.)
GCCVERSION += $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f3 -d.)
# Make sure the version number has at least 3 decimals
GCCVERSION += 00
# Remove spaces from the version number
GCCVERSION := $(subst $(space),$(empty),$(GCCVERSION))
#$(warning $(GCCVERSION))
IS_MIN_VERSION := $(shell expr `echo $(GCCVERSION)` \>= 50000)
ifeq ($(IS_MIN_VERSION), 1)
$(info >>> GCC Version is greater or equal to 5.0.0 <<<)
else
$(info >>> Waiving build. Minimum GCC version required is 5.0.0<<<)
SAMPLE_ENABLED := 0
endif
endif
# Gencode arguments
ifeq ($(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 += -dc -maxrregcount=64 --std=c++14 --threads 0
LIBRARIES += -lcudadevrt
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: cdpAdvancedQuicksort
check.deps:
ifeq ($(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
cdpAdvancedQuicksort.o:cdpAdvancedQuicksort.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
cdpBitonicSort.o:cdpBitonicSort.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
cdpAdvancedQuicksort: cdpAdvancedQuicksort.o cdpBitonicSort.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
$(EXEC) ./cdpAdvancedQuicksort
testrun: build
clean:
rm -f cdpAdvancedQuicksort cdpAdvancedQuicksort.o cdpBitonicSort.o
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/cdpAdvancedQuicksort
clobber: clean

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>cdpAdvancedQuicksort</name>
<cflags>
<flag>-dc</flag>
<flag>-maxrregcount=64</flag>
<flag>--std=c++14</flag>
</cflags>
<cuda_api_list>
<toolkit>cudaMemset</toolkit>
<toolkit>cudaFree</toolkit>
<toolkit>cudaEventRecord</toolkit>
<toolkit>cudaEventCreate</toolkit>
<toolkit>cudaEventElapsedTime</toolkit>
<toolkit>cudaDeviceSynchronize</toolkit>
<toolkit>cudaPeekAtLastError</toolkit>
<toolkit>cudaMalloc</toolkit>
<toolkit>cudaStreamCreateWithFlags</toolkit>
<toolkit>cudaGetLastError</toolkit>
<toolkit>cudaMemcpyAsync</toolkit>
<toolkit>cudaMemcpy</toolkit>
<toolkit>cudaGetErrorString</toolkit>
<toolkit>cudaGetDeviceProperties</toolkit>
</cuda_api_list>
<description><![CDATA[This sample demonstrates an advanced quicksort implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.]]></description>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../../Common</path>
</includepaths>
<keyconcepts>
<concept level="basic">Cooperative Groups</concept>
<concept level="advanced">CUDA Dynamic Parallelism</concept>
</keyconcepts>
<keywords>
<keyword>GPGPU</keyword>
<keyword>CPP14</keyword>
</keywords>
<libraries>
<library>cudadevrt</library>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>cdpAdvancedQuicksort.cu</primary_file>
<required_dependencies>
<dependency>CDP</dependency>
</required_dependencies>
<scopes>
<scope>1:CUDA Advanced Topics</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>
<from>3.5</from>
</supported_sm_architectures>
<title>Advanced Quicksort (CUDA Dynamic Parallelism)</title>
<type>exe</type>
</entry>

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# cdpAdvancedQuicksort - Advanced Quicksort (CUDA Dynamic Parallelism)
## Description
This sample demonstrates an advanced quicksort implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.
## Key Concepts
Cooperative Groups, CUDA Dynamic Parallelism
## 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)
cudaMemset, cudaFree, cudaEventRecord, cudaEventCreate, cudaEventElapsedTime, cudaDeviceSynchronize, cudaPeekAtLastError, cudaMalloc, cudaStreamCreateWithFlags, cudaGetLastError, cudaMemcpyAsync, cudaMemcpy, cudaGetErrorString, cudaGetDeviceProperties
## Dependencies needed to build/run
[CDP](../../README.md#cdp)
## 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.
*/
////////////////////////////////////////////////////////////////////////////////
//
// cdpAdvancedQuicksort.cu
//
// Implementation of a parallel quicksort in CUDA. It comes in
// several parts:
//
// 1. A small-set insertion sort. We do this on any set with <=32 elements
// 2. A partitioning kernel, which - given a pivot - separates an input
// array into elements <=pivot, and >pivot. Two quicksorts will then
// be launched to resolve each of these.
// 3. A quicksort co-ordinator, which figures out what kernels to launch
// and when.
//
////////////////////////////////////////////////////////////////////////////////
#include <thrust/random.h>
#include <thrust/device_vector.h>
#include <cooperative_groups.h>
namespace cg = cooperative_groups;
#include <helper_cuda.h>
#include <helper_string.h>
#include "cdpQuicksort.h"
////////////////////////////////////////////////////////////////////////////////
// Inline PTX call to return index of highest non-zero bit in a word
////////////////////////////////////////////////////////////////////////////////
static __device__ __forceinline__ unsigned int __qsflo(unsigned int word) {
unsigned int ret;
asm volatile("bfind.u32 %0, %1;" : "=r"(ret) : "r"(word));
return ret;
}
////////////////////////////////////////////////////////////////////////////////
//
// ringbufAlloc
//
// Allocates from a ringbuffer. Allows for not failing when we run out
// of stack for tracking the offset counts for each sort subsection.
//
// We use the atomicMax trick to allow out-of-order retirement. If we
// hit the size limit on the ringbuffer, then we spin-wait for people
// to complete.
//
////////////////////////////////////////////////////////////////////////////////
template <typename T>
static __device__ T *ringbufAlloc(qsortRingbuf *ringbuf) {
// Wait for there to be space in the ring buffer. We'll retry only a fixed
// number of times and then fail, to avoid an out-of-memory deadlock.
unsigned int loop = 10000;
while (((ringbuf->head - ringbuf->tail) >= ringbuf->stacksize) &&
(loop-- > 0))
;
if (loop == 0) return NULL;
// Note that the element includes a little index book-keeping, for freeing
// later.
unsigned int index = atomicAdd((unsigned int *)&ringbuf->head, 1);
T *ret = (T *)(ringbuf->stackbase) + (index & (ringbuf->stacksize - 1));
ret->index = index;
return ret;
}
////////////////////////////////////////////////////////////////////////////////
//
// ringBufFree
//
// Releases an element from the ring buffer. If every element is released
// up to and including this one, we can advance the tail to indicate that
// space is now available.
//
////////////////////////////////////////////////////////////////////////////////
template <typename T>
static __device__ void ringbufFree(qsortRingbuf *ringbuf, T *data) {
unsigned int index = data->index; // Non-wrapped index to free
unsigned int count = atomicAdd((unsigned int *)&(ringbuf->count), 1) + 1;
unsigned int max = atomicMax((unsigned int *)&(ringbuf->max), index + 1);
// Update the tail if need be. Note we update "max" to be the new value in
// ringbuf->max
if (max < (index + 1)) max = index + 1;
if (max == count) atomicMax((unsigned int *)&(ringbuf->tail), count);
}
////////////////////////////////////////////////////////////////////////////////
//
// qsort_warp
//
// Simplest possible implementation, does a per-warp quicksort with no
// inter-warp
// communication. This has a high atomic issue rate, but the rest should
// actually
// be fairly quick because of low work per thread.
//
// A warp finds its section of the data, then writes all data <pivot to one
// buffer and all data >pivot to the other. Atomics are used to get a unique
// section of the buffer.
//
// Obvious optimisation: do multiple chunks per warp, to increase in-flight
// loads
// and cover the instruction overhead.
//
////////////////////////////////////////////////////////////////////////////////
__global__ void qsort_warp(unsigned *indata, unsigned *outdata,
unsigned int offset, unsigned int len,
qsortAtomicData *atomicData,
qsortRingbuf *atomicDataStack,
unsigned int source_is_indata, unsigned int depth) {
// Handle to thread block group
cg::thread_block cta = cg::this_thread_block();
// Find my data offset, based on warp ID
unsigned int thread_id = threadIdx.x + (blockIdx.x << QSORT_BLOCKSIZE_SHIFT);
// unsigned int warp_id = threadIdx.x >> 5; // Used for debug only
unsigned int lane_id = threadIdx.x & (warpSize - 1);
// Exit if I'm outside the range of sort to be done
if (thread_id >= len) return;
//
// First part of the algorithm. Each warp counts the number of elements that
// are
// greater/less than the pivot.
//
// When a warp knows its count, it updates an atomic counter.
//
// Read in the data and the pivot. Arbitrary pivot selection for now.
unsigned pivot = indata[offset + len / 2];
unsigned data = indata[offset + thread_id];
// Count how many are <= and how many are > pivot.
// If all are <= pivot then we adjust the comparison
// because otherwise the sort will move nothing and
// we'll iterate forever.
cg::coalesced_group active = cg::coalesced_threads();
unsigned int greater = (data > pivot);
unsigned int gt_mask = active.ballot(greater);
if (gt_mask == 0) {
greater = (data >= pivot);
gt_mask = active.ballot(greater); // Must re-ballot for adjusted comparator
}
unsigned int lt_mask = active.ballot(!greater);
unsigned int gt_count = __popc(gt_mask);
unsigned int lt_count = __popc(lt_mask);
// Atomically adjust the lt_ and gt_offsets by this amount. Only one thread
// need do this. Share the result using shfl
unsigned int lt_offset, gt_offset;
if (lane_id == 0) {
if (lt_count > 0)
lt_offset = atomicAdd((unsigned int *)&atomicData->lt_offset, lt_count);
if (gt_count > 0)
gt_offset =
len - (atomicAdd((unsigned int *)&atomicData->gt_offset, gt_count) +
gt_count);
}
lt_offset =
active.shfl((int)lt_offset, 0); // Everyone pulls the offsets from lane 0
gt_offset = active.shfl((int)gt_offset, 0);
// Now compute my own personal offset within this. I need to know how many
// threads with a lane ID less than mine are going to write to the same buffer
// as me. We can use popc to implement a single-operation warp scan in this
// case.
unsigned lane_mask_lt;
asm("mov.u32 %0, %%lanemask_lt;" : "=r"(lane_mask_lt));
unsigned int my_mask = greater ? gt_mask : lt_mask;
unsigned int my_offset = __popc(my_mask & lane_mask_lt);
// Move data.
my_offset += greater ? gt_offset : lt_offset;
outdata[offset + my_offset] = data;
// Count up if we're the last warp in. If so, then Kepler will launch the next
// set of sorts directly from here.
if (lane_id == 0) {
// Count "elements written". If I wrote the last one, then trigger the next
// qsorts
unsigned int mycount = lt_count + gt_count;
if (atomicAdd((unsigned int *)&atomicData->sorted_count, mycount) +
mycount ==
len) {
// We're the last warp to do any sorting. Therefore it's up to us to
// launch the next stage.
unsigned int lt_len = atomicData->lt_offset;
unsigned int gt_len = atomicData->gt_offset;
cudaStream_t lstream, rstream;
cudaStreamCreateWithFlags(&lstream, cudaStreamNonBlocking);
cudaStreamCreateWithFlags(&rstream, cudaStreamNonBlocking);
// Begin by freeing our atomicData storage. It's better for the ringbuffer
// algorithm
// if we free when we're done, rather than re-using (makes for less
// fragmentation).
ringbufFree<qsortAtomicData>(atomicDataStack, atomicData);
// Exceptional case: if "lt_len" is zero, then all values in the batch
// are equal. We are then done (may need to copy into correct buffer,
// though)
if (lt_len == 0) {
if (source_is_indata)
cudaMemcpyAsync(indata + offset, outdata + offset,
gt_len * sizeof(unsigned), cudaMemcpyDeviceToDevice,
lstream);
return;
}
// Start with lower half first
if (lt_len > BITONICSORT_LEN) {
// If we've exceeded maximum depth, fall through to backup
// big_bitonicsort
if (depth >= QSORT_MAXDEPTH) {
// The final bitonic stage sorts in-place in "outdata". We therefore
// re-use "indata" as the out-of-range tracking buffer. For (2^n)+1
// elements we need (2^(n+1)) bytes of oor buffer. The backup qsort
// buffer is at least this large when sizeof(QTYPE) >= 2.
big_bitonicsort<<<1, BITONICSORT_LEN, 0, lstream>>>(
outdata, source_is_indata ? indata : outdata, indata, offset,
lt_len);
} else {
// Launch another quicksort. We need to allocate more storage for the
// atomic data.
if ((atomicData = ringbufAlloc<qsortAtomicData>(atomicDataStack)) ==
NULL)
printf("Stack-allocation error. Failing left child launch.\n");
else {
atomicData->lt_offset = atomicData->gt_offset =
atomicData->sorted_count = 0;
unsigned int numblocks =
(unsigned int)(lt_len + (QSORT_BLOCKSIZE - 1)) >>
QSORT_BLOCKSIZE_SHIFT;
qsort_warp<<<numblocks, QSORT_BLOCKSIZE, 0, lstream>>>(
outdata, indata, offset, lt_len, atomicData, atomicDataStack,
!source_is_indata, depth + 1);
}
}
} else if (lt_len > 1) {
// Final stage uses a bitonic sort instead. It's important to
// make sure the final stage ends up in the correct (original) buffer.
// We launch the smallest power-of-2 number of threads that we can.
unsigned int bitonic_len = 1 << (__qsflo(lt_len - 1U) + 1);
bitonicsort<<<1, bitonic_len, 0, lstream>>>(
outdata, source_is_indata ? indata : outdata, offset, lt_len);
}
// Finally, if we sorted just one single element, we must still make
// sure that it winds up in the correct place.
else if (source_is_indata && (lt_len == 1))
indata[offset] = outdata[offset];
if (cudaPeekAtLastError() != cudaSuccess)
printf("Left-side launch fail: %s\n",
cudaGetErrorString(cudaGetLastError()));
// Now the upper half.
if (gt_len > BITONICSORT_LEN) {
// If we've exceeded maximum depth, fall through to backup
// big_bitonicsort
if (depth >= QSORT_MAXDEPTH)
big_bitonicsort<<<1, BITONICSORT_LEN, 0, rstream>>>(
outdata, source_is_indata ? indata : outdata, indata,
offset + lt_len, gt_len);
else {
// Allocate new atomic storage for this launch
if ((atomicData = ringbufAlloc<qsortAtomicData>(atomicDataStack)) ==
NULL)
printf("Stack allocation error! Failing right-side launch.\n");
else {
atomicData->lt_offset = atomicData->gt_offset =
atomicData->sorted_count = 0;
unsigned int numblocks =
(unsigned int)(gt_len + (QSORT_BLOCKSIZE - 1)) >>
QSORT_BLOCKSIZE_SHIFT;
qsort_warp<<<numblocks, QSORT_BLOCKSIZE, 0, rstream>>>(
outdata, indata, offset + lt_len, gt_len, atomicData,
atomicDataStack, !source_is_indata, depth + 1);
}
}
} else if (gt_len > 1) {
unsigned int bitonic_len = 1 << (__qsflo(gt_len - 1U) + 1);
bitonicsort<<<1, bitonic_len, 0, rstream>>>(
outdata, source_is_indata ? indata : outdata, offset + lt_len,
gt_len);
} else if (source_is_indata && (gt_len == 1))
indata[offset + lt_len] = outdata[offset + lt_len];
if (cudaPeekAtLastError() != cudaSuccess)
printf("Right-side launch fail: %s\n",
cudaGetErrorString(cudaGetLastError()));
}
}
}
////////////////////////////////////////////////////////////////////////////////
//
// run_quicksort
//
// Host-side code to run the Kepler version of quicksort. It's pretty
// simple, because all launch control is handled on the device via CDP.
//
// All parallel quicksorts require an equal-sized scratch buffer. This
// must be passed in ahead of time.
//
// Returns the time elapsed for the sort.
//
////////////////////////////////////////////////////////////////////////////////
float run_quicksort_cdp(unsigned *gpudata, unsigned *scratchdata,
unsigned int count, cudaStream_t stream) {
unsigned int stacksize = QSORT_STACK_ELEMS;
// This is the stack, for atomic tracking of each sort's status
qsortAtomicData *gpustack;
checkCudaErrors(
cudaMalloc((void **)&gpustack, stacksize * sizeof(qsortAtomicData)));
checkCudaErrors(cudaMemset(
gpustack, 0, sizeof(qsortAtomicData))); // Only need set first entry to 0
// Create the memory ringbuffer used for handling the stack.
// Initialise everything to where it needs to be.
qsortRingbuf buf;
qsortRingbuf *ringbuf;
checkCudaErrors(cudaMalloc((void **)&ringbuf, sizeof(qsortRingbuf)));
buf.head = 1; // We start with one allocation
buf.tail = 0;
buf.count = 0;
buf.max = 0;
buf.stacksize = stacksize;
buf.stackbase = gpustack;
checkCudaErrors(
cudaMemcpy(ringbuf, &buf, sizeof(buf), cudaMemcpyHostToDevice));
// Timing events...
cudaEvent_t ev1, ev2;
checkCudaErrors(cudaEventCreate(&ev1));
checkCudaErrors(cudaEventCreate(&ev2));
checkCudaErrors(cudaEventRecord(ev1));
// Now we trivially launch the qsort kernel
if (count > BITONICSORT_LEN) {
unsigned int numblocks =
(unsigned int)(count + (QSORT_BLOCKSIZE - 1)) >> QSORT_BLOCKSIZE_SHIFT;
qsort_warp<<<numblocks, QSORT_BLOCKSIZE, 0, stream>>>(
gpudata, scratchdata, 0U, count, gpustack, ringbuf, true, 0);
} else {
bitonicsort<<<1, BITONICSORT_LEN>>>(gpudata, gpudata, 0, count);
}
checkCudaErrors(cudaGetLastError());
checkCudaErrors(cudaEventRecord(ev2));
checkCudaErrors(cudaDeviceSynchronize());
float elapse = 0.0f;
if (cudaPeekAtLastError() != cudaSuccess)
printf("Launch failure: %s\n", cudaGetErrorString(cudaGetLastError()));
else
checkCudaErrors(cudaEventElapsedTime(&elapse, ev1, ev2));
// Sanity check that the stack allocator is doing the right thing
checkCudaErrors(
cudaMemcpy(&buf, ringbuf, sizeof(*ringbuf), cudaMemcpyDeviceToHost));
if (count > BITONICSORT_LEN && buf.head != buf.tail) {
printf("Stack allocation error!\nRingbuf:\n");
printf("\t head = %u\n", buf.head);
printf("\t tail = %u\n", buf.tail);
printf("\tcount = %u\n", buf.count);
printf("\t max = %u\n", buf.max);
}
// Release our stack data once we're done
checkCudaErrors(cudaFree(ringbuf));
checkCudaErrors(cudaFree(gpustack));
return elapse;
}
////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
int run_qsort(unsigned int size, int seed, int debug, int loop, int verbose) {
if (seed > 0) srand(seed);
// Create and set up our test
unsigned *gpudata, *scratchdata;
checkCudaErrors(cudaMalloc((void **)&gpudata, size * sizeof(unsigned)));
checkCudaErrors(cudaMalloc((void **)&scratchdata, size * sizeof(unsigned)));
// Create CPU data.
unsigned *data = new unsigned[size];
unsigned int min = loop ? loop : size;
unsigned int max = size;
loop = (loop == 0) ? 1 : loop;
for (size = min; size <= max; size += loop) {
if (verbose) printf(" Input: ");
for (unsigned int i = 0; i < size; i++) {
// Build data 8 bits at a time
data[i] = 0;
char *ptr = (char *)&(data[i]);
for (unsigned j = 0; j < sizeof(unsigned); j++) {
// Easy-to-read data in debug mode
if (debug) {
*ptr++ = (char)(rand() % 10);
break;
}
*ptr++ = (char)(rand() & 255);
}
if (verbose) {
if (i && !(i % 32)) printf("\n ");
printf("%u ", data[i]);
}
}
if (verbose) printf("\n");
checkCudaErrors(cudaMemcpy(gpudata, data, size * sizeof(unsigned),
cudaMemcpyHostToDevice));
// So we're now populated and ready to go! We size our launch as
// blocks of up to BLOCKSIZE threads, and appropriate grid size.
// One thread is launched per element.
float elapse;
elapse = run_quicksort_cdp(gpudata, scratchdata, size, NULL);
// run_bitonicsort<SORTTYPE>(gpudata, scratchdata, size, verbose);
checkCudaErrors(cudaDeviceSynchronize());
// Copy back the data and verify correct sort
checkCudaErrors(cudaMemcpy(data, gpudata, size * sizeof(unsigned),
cudaMemcpyDeviceToHost));
if (verbose) {
printf("Output: ");
for (unsigned int i = 0; i < size; i++) {
if (i && !(i % 32)) printf("\n ");
printf("%u ", data[i]);
}
printf("\n");
}
unsigned int check;
for (check = 1; check < size; check++) {
if (data[check] < data[check - 1]) {
printf("FAILED at element: %d\n", check);
break;
}
}
if (check != size) {
printf(" cdpAdvancedQuicksort FAILED\n");
exit(EXIT_FAILURE);
} else
printf(" cdpAdvancedQuicksort PASSED\n");
// Display the time between event recordings
printf("Sorted %u elems in %.3f ms (%.3f Melems/sec)\n", size, elapse,
(float)size / (elapse * 1000.0f));
fflush(stdout);
}
// Release everything and we're done
checkCudaErrors(cudaFree(scratchdata));
checkCudaErrors(cudaFree(gpudata));
delete (data);
return 0;
}
static void usage() {
printf(
"Syntax: cdpAdvancedQuicksort [-size=<num>] [-seed=<num>] [-debug] "
"[-loop-step=<num>] [-verbose]\n");
printf(
"If loop_step is non-zero, will run from 1->array_len in steps of "
"loop_step\n");
}
// Host side entry
int main(int argc, char *argv[]) {
int size = 1000000;
unsigned int seed = 0;
int debug = 0;
int loop = 0;
int verbose = 0;
if (checkCmdLineFlag(argc, (const char **)argv, "help") ||
checkCmdLineFlag(argc, (const char **)argv, "h")) {
usage();
printf("&&&& cdpAdvancedQuicksort WAIVED\n");
exit(EXIT_WAIVED);
}
if (checkCmdLineFlag(argc, (const char **)argv, "size")) {
size = getCmdLineArgumentInt(argc, (const char **)argv, "size");
}
if (checkCmdLineFlag(argc, (const char **)argv, "seed")) {
seed = getCmdLineArgumentInt(argc, (const char **)argv, "seed");
}
if (checkCmdLineFlag(argc, (const char **)argv, "loop-step")) {
loop = getCmdLineArgumentInt(argc, (const char **)argv, "loop-step");
}
if (checkCmdLineFlag(argc, (const char **)argv, "debug")) {
debug = 1;
}
if (checkCmdLineFlag(argc, (const char **)argv, "verbose")) {
verbose = 1;
}
// Get device properties
int cuda_device = findCudaDevice(argc, (const char **)argv);
cudaDeviceProp properties;
checkCudaErrors(cudaGetDeviceProperties(&properties, cuda_device));
int cdpCapable =
(properties.major == 3 && properties.minor >= 5) || properties.major >= 4;
printf("GPU device %s has compute capabilities (SM %d.%d)\n", properties.name,
properties.major, properties.minor);
if (!cdpCapable) {
printf(
"cdpAdvancedQuicksort requires SM 3.5 or higher to use CUDA Dynamic "
"Parallelism. Exiting...\n");
exit(EXIT_WAIVED);
}
printf("Running qsort on %d elements with seed %d, on %s\n", size, seed,
properties.name);
run_qsort(size, seed, debug, loop, verbose);
exit(EXIT_SUCCESS);
}

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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.
*/
// This is a basic, recursive bitonic sort taken from
// http://www.iti.fh-flensburg.de/lang/algorithmen/sortieren/bitonic/oddn.htm
//
// The parallel code is based on:
// http://www.tools-of-computing.com/tc/CS/Sorts/bitonic_sort.htm
//
// The multithread code is from me.
#include <stdio.h>
#include <cooperative_groups.h>
namespace cg = cooperative_groups;
#include "cdpQuicksort.h"
// Inline PTX call to return index of highest non-zero bit in a word
static __device__ __forceinline__ unsigned int __btflo(unsigned int word) {
unsigned int ret;
asm volatile("bfind.u32 %0, %1;" : "=r"(ret) : "r"(word));
return ret;
}
////////////////////////////////////////////////////////////////////////////////
//
// qcompare
//
// Comparison function. Note difference from libc standard in
// that we take by reference, not by pointer. I can't figure
// out how to get a template-to-pointer specialisation working.
// Perhaps it requires a class?
//
////////////////////////////////////////////////////////////////////////////////
__device__ __forceinline__ int qcompare(unsigned &val1, unsigned &val2) {
return (val1 > val2) ? 1 : (val1 == val2) ? 0 : -1;
}
////////////////////////////////////////////////////////////////////////////////
//
// Basic any-N bitonic sort. We sort "len" elements of "indata", starting
// from the "offset" elements into the input data array. Note that "outdata"
// can safely be the same as "indata" for an in-place sort (we stage through
// shared memory).
//
// We handle non-power-of-2 sizes by padding out to the next largest power of
// 2.
// This is the fully-generic version, for sorting arbitrary data which does not
// have a clear "maximum" value. We track "invalid" entries in a separate array
// to make sure that they always sorts as "max value" elements. A template
// parameter "OOR" allows specialisation to optimise away the invalid tracking.
//
// We can do a more specialised version for int/longlong/flat/double, in which
// we pad out the array with max-value-of-type elements. That's another
// function.
//
// The last step copies from indata -> outdata... the rest is done in-place.
// We use shared memory as temporary storage, which puts an upper limit on
// how much data we can sort per block.
//
////////////////////////////////////////////////////////////////////////////////
static __device__ __forceinline__ void bitonicsort_kernel(
unsigned *indata, unsigned *outdata, unsigned int offset, unsigned int len,
cg::thread_block cta) {
__shared__ unsigned
sortbuf[1024]; // Max of 1024 elements - TODO: make this dynamic
// First copy data into shared memory.
unsigned int inside = (threadIdx.x < len);
sortbuf[threadIdx.x] = inside ? indata[threadIdx.x + offset] : 0xffffffffu;
cg::sync(cta);
// Now the sort loops
// Here, "k" is the sort level (remember bitonic does a multi-level butterfly
// style sort)
// and "j" is the partner element in the butterfly.
// Two threads each work on one butterfly, because the read/write needs to
// happen
// simultaneously
for (unsigned int k = 2; k <= blockDim.x;
k *= 2) // Butterfly stride increments in powers of 2
{
for (unsigned int j = k >> 1; j > 0;
j >>= 1) // Strides also in powers of to, up to <k
{
unsigned int swap_idx =
threadIdx.x ^ j; // Index of element we're compare-and-swapping with
unsigned my_elem = sortbuf[threadIdx.x];
unsigned swap_elem = sortbuf[swap_idx];
cg::sync(cta);
// The k'th bit of my threadid (and hence my sort item ID)
// determines if we sort ascending or descending.
// However, since threads are reading from the top AND the bottom of
// the butterfly, if my ID is > swap_idx, then ascending means mine<swap.
// Finally, if either my_elem or swap_elem is out of range, then it
// ALWAYS acts like it's the largest number.
// Confusing? It saves us two writes though.
unsigned int ascend = k * (swap_idx < threadIdx.x);
unsigned int descend = k * (swap_idx > threadIdx.x);
bool swap = false;
if ((threadIdx.x & k) == ascend) {
if (my_elem > swap_elem) swap = true;
}
if ((threadIdx.x & k) == descend) {
if (my_elem < swap_elem) swap = true;
}
// If we had to swap, then write my data to the other element's position.
// Don't forget to track out-of-range status too!
if (swap) {
sortbuf[swap_idx] = my_elem;
}
cg::sync(cta);
}
}
// Copy the sorted data from shared memory back to the output buffer
if (threadIdx.x < len) outdata[threadIdx.x + offset] = sortbuf[threadIdx.x];
}
//////////////////////////////////////////////////////////////////////////////////
// This is an emergency-CTA sort, which sorts an arbitrary sized chunk
// using a single block. Useful for if qsort runs out of nesting depth.
//
// Note that bitonic sort needs enough storage to pad up to the nearest
// power of 2. This means that the double-buffer is always large enough
// (when combined with the main buffer), but we do not get enough space
// to keep OOR information.
//
// This in turn means that this sort does not work with a generic data
// type. It must be a directly-comparable (i.e. with max value) type.
//
////////////////////////////////////////////////////////////////////////////////
static __device__ __forceinline__ void big_bitonicsort_kernel(
unsigned *indata, unsigned *outdata, unsigned *backbuf, unsigned int offset,
unsigned int len, cg::thread_block cta) {
unsigned int len2 =
1 << (__btflo(len - 1U) + 1); // Round up len to nearest power-of-2
if (threadIdx.x >= len2)
return; // Early out for case where more threads launched than there is
// data
// First, set up our unused values to be the max data type.
for (unsigned int i = len; i < len2; i += blockDim.x) {
unsigned int index = i + threadIdx.x;
if (index < len2) {
// Must split our index between two buffers
if (index < len)
indata[index + offset] = 0xffffffffu;
else
backbuf[index + offset - len] = 0xffffffffu;
}
}
cg::sync(cta);
// Now the sort loops
// Here, "k" is the sort level (remember bitonic does a multi-level butterfly
// style sort)
// and "j" is the partner element in the butterfly.
// Two threads each work on one butterfly, because the read/write needs to
// happen
// simultaneously
for (unsigned int k = 2; k <= len2;
k *= 2) // Butterfly stride increments in powers of 2
{
for (unsigned int j = k >> 1; j > 0;
j >>= 1) // Strides also in powers of to, up to <k
{
for (unsigned int i = 0; i < len2; i += blockDim.x) {
unsigned int index = threadIdx.x + i;
unsigned int swap_idx =
index ^ j; // Index of element we're compare-and-swapping with
// Only do the swap for index<swap_idx (avoids collision between other
// threads)
if (swap_idx > index) {
unsigned my_elem, swap_elem;
if (index < len)
my_elem = indata[index + offset];
else
my_elem = backbuf[index + offset - len];
if (swap_idx < len)
swap_elem = indata[swap_idx + offset];
else
swap_elem = backbuf[swap_idx + offset - len];
// The k'th bit of my index (and hence my sort item ID)
// determines if we sort ascending or descending.
// Also, if either my_elem or swap_elem is out of range, then it
// ALWAYS acts like it's the largest number.
bool swap = false;
if ((index & k) == 0) {
if (my_elem > swap_elem) swap = true;
}
if ((index & k) == k) {
if (my_elem < swap_elem) swap = true;
}
// If we had to swap, then write my data to the other element's
// position.
if (swap) {
if (swap_idx < len)
indata[swap_idx + offset] = my_elem;
else
backbuf[swap_idx + offset - len] = my_elem;
if (index < len)
indata[index + offset] = swap_elem;
else
backbuf[index + offset - len] = swap_elem;
}
}
}
cg::sync(cta); // Only need to sync for each "j" pass
}
}
// Copy the sorted data from the input to the output buffer, because we sort
// in-place
if (outdata != indata) {
for (unsigned int i = 0; i < len; i += blockDim.x) {
unsigned int index = i + threadIdx.x;
if (index < len) outdata[index + offset] = indata[index + offset];
}
}
}
////////////////////////////////////////////////////////////////////////////////
// KERNELS
////////////////////////////////////////////////////////////////////////////////
__global__ void bitonicsort(unsigned *indata, unsigned *outdata,
unsigned int offset, unsigned int len) {
// Handle to thread block group
cg::thread_block cta = cg::this_thread_block();
bitonicsort_kernel(indata, outdata, offset, len, cta);
}
__global__ void big_bitonicsort(unsigned *indata, unsigned *outdata,
unsigned *backbuf, unsigned int offset,
unsigned int len) {
// Handle to thread block group
cg::thread_block cta = cg::this_thread_block();
big_bitonicsort_kernel(indata, outdata, backbuf, offset, len, cta);
}
////////////////////////////////////////////////////////////////////////////////

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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.
*/
// Definitions for GPU quicksort
#ifndef QUICKSORT_H
#define QUICKSORT_H
#define QSORT_BLOCKSIZE_SHIFT 9
#define QSORT_BLOCKSIZE (1 << QSORT_BLOCKSIZE_SHIFT)
#define BITONICSORT_LEN 1024 // Must be power of 2!
#define QSORT_MAXDEPTH \
16 // Will force final bitonic stage at depth QSORT_MAXDEPTH+1
////////////////////////////////////////////////////////////////////////////////
// The algorithm uses several variables updated by using atomic operations.
////////////////////////////////////////////////////////////////////////////////
typedef struct __align__(128) qsortAtomicData_t {
volatile unsigned int lt_offset; // Current output offset for <pivot
volatile unsigned int gt_offset; // Current output offset for >pivot
volatile unsigned int sorted_count; // Total count sorted, for deciding when
// to launch next wave
volatile unsigned int
index; // Ringbuf tracking index. Can be ignored if not using ringbuf.
}
qsortAtomicData;
////////////////////////////////////////////////////////////////////////////////
// A ring-buffer for rapid stack allocation
////////////////////////////////////////////////////////////////////////////////
typedef struct qsortRingbuf_t {
volatile unsigned int head; // Head pointer - we allocate from here
volatile unsigned int
tail; // Tail pointer - indicates last still-in-use element
volatile unsigned int count; // Total count allocated
volatile unsigned int max; // Max index allocated
unsigned int stacksize; // Wrap-around size of buffer (must be power of 2)
volatile void *stackbase; // Pointer to the stack we're allocating from
} qsortRingbuf;
// Stack elem count must be power of 2!
#define QSORT_STACK_ELEMS \
1 * 1024 * 1024 // One million stack elements is a HUGE number.
__global__ void qsort_warp(unsigned *indata, unsigned *outdata,
unsigned int len, qsortAtomicData *atomicData,
qsortRingbuf *ringbuf, unsigned int source_is_indata,
unsigned int depth);
__global__ void bitonicsort(unsigned *indata, unsigned *outdata,
unsigned int offset, unsigned int len);
__global__ void big_bitonicsort(unsigned *indata, unsigned *outdata,
unsigned *backbuf, unsigned int offset,
unsigned int len);
#endif // QUICKSORT_H