Remove outdated bandwidthTest sample

CHANGELOG.md

@@ -2,6 +2,12 @@
 
 ### CUDA 12.9
 * Updated toolchain for cross-compilation for Tegra Linux platforms.
+* Repository has been updated with consistent code formatting across all samples
+* Many small code tweaks and bug fixes (see commit history for details)
+* Removed the following outdated samples:
+  * `1_Utilities`
+    * `bandwidthTest` - this sample was out of date and did not produce accurate results. For bandwidth
+    testing of NVIDIA GPU platforms, please refer to [NVBandwidth](https://github.com/NVIDIA/nvbandwidth)
 
 ### CUDA 12.8
 * Updated build system across the repository to CMake. Removed Visual Studio project files and Makefiles.

Samples/1_Utilities/bandwidthTest/.vscode/c_cpp_properties.json

@@ -1,18 +0,0 @@
-{
-    "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
-}

Samples/1_Utilities/bandwidthTest/.vscode/extensions.json

@@ -1,7 +0,0 @@
-{
-    "recommendations": [
-        "nvidia.nsight-vscode-edition",
-        "ms-vscode.cpptools",
-        "ms-vscode.makefile-tools"
-    ]
-}

Samples/1_Utilities/bandwidthTest/.vscode/launch.json

@@ -1,10 +0,0 @@
-{
-    "configurations": [
-        {
-            "name": "CUDA C++: Launch",
-            "type": "cuda-gdb",
-            "request": "launch",
-            "program": "${workspaceFolder}/bandwidthTest"
-        }
-    ]
-}

Samples/1_Utilities/bandwidthTest/.vscode/tasks.json

@@ -1,15 +0,0 @@
-{
-    "version": "2.0.0",
-    "tasks": [
-        {
-            "label": "sample",
-            "type": "shell",
-            "command": "make dbg=1",
-            "problemMatcher": ["$nvcc"],
-            "group": {
-                "kind": "build",
-                "isDefault": true
-            }
-        }
-    ]
-}

Samples/1_Utilities/bandwidthTest/CMakeLists.txt

@@ -1,30 +0,0 @@
-cmake_minimum_required(VERSION 3.20)
-
-list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
-
-project(bandwidthTest LANGUAGES C CXX CUDA)
-
-find_package(CUDAToolkit REQUIRED)
-
-set(CMAKE_POSITION_INDEPENDENT_CODE ON)
-
-set(CMAKE_CUDA_ARCHITECTURES 50 52 60 61 70 72 75 80 86 87 89 90 100 101 120)
-set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets")
-if(ENABLE_CUDA_DEBUG)
-    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G")        # enable cuda-gdb (may significantly affect performance on some targets)
-else()
-    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option)
-endif()
-
-# Include directories and libraries
-include_directories(../../../Common)
-
-# Source file
-# Add target for bandwidthTest
-add_executable(bandwidthTest bandwidthTest.cu)
-
-target_compile_options(bandwidthTest PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
-
-target_compile_features(bandwidthTest PRIVATE cxx_std_17 cuda_std_17)
-
-set_target_properties(bandwidthTest PROPERTIES CUDA_SEPARABLE_COMPILATION ON)

Samples/1_Utilities/bandwidthTest/README.md

@@ -1,32 +0,0 @@
-# bandwidthTest - Bandwidth Test
-
-## Description
-
-This is a simple test program to measure the memcopy bandwidth of the GPU and memcpy bandwidth across PCI-e. This test application is capable of measuring device to device copy bandwidth, host to device copy bandwidth for pageable and page-locked memory, and device to host copy bandwidth for pageable and page-locked memory.
-
-## Key Concepts
-
-CUDA Streams and Events, Performance Strategies
-
-## Supported SM Architectures
-
-[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)  [SM 8.9 ](https://developer.nvidia.com/cuda-gpus)  [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
-
-## Supported OSes
-
-Linux, Windows
-
-## Supported CPU Architecture
-
-x86_64, armv7l
-
-## CUDA APIs involved
-
-### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
-cudaHostAlloc, cudaMemcpy, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaGetErrorString, cudaMallocHost, cudaSetDevice, cudaGetDeviceProperties, cudaDeviceSynchronize, cudaEventRecord, cudaFreeHost, cudaEventDestroy, cudaEventElapsedTime, cudaGetDeviceCount, cudaEventCreate
-
-## Prerequisites
-
-Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
-
-## References (for more details)