NASP/cuda-samples
35
0
Fork 0
mirror of https://github.com/NVIDIA/cuda-samples.git synced 2024-11-24 21:39:17 +08:00
Code Issues Packages Projects Releases Wiki Activity

-- Update README.md with changes for repo link and other updates

Browse Source 
-- remove MDCG support on windows
-- integrate fixes to nvrtc samples makefile and driver api samples makefiles
This commit is contained in:
mdoijade 2018-04-11 00:09:13 +05:30
parent 90632045e3
commit 0bce11f7a5
5 changed files with 32 additions and 42 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

43
README.md
View File

@ -33,7 +33,7 @@ For system requirements and installation instructions of cuda toolkit, please re
Using git clone the repository of CUDA Samples using the command below. Using git clone the repository of CUDA Samples using the command below.
``` ```
git clone <GIT_REPO_CLONE_LINK> git clone https://github.com/NVIDIA/cuda-samples.git
``` ```
Without using git the easiest way to use these samples is to download the zip file containing the current version by clicking the "Download ZIP" button on the repo page. You can then unzip the entire archive and use the samples. Without using git the easiest way to use these samples is to download the zip file containing the current version by clicking the "Download ZIP" button on the repo page. You can then unzip the entire archive and use the samples.
@ -108,22 +108,22 @@ The samples makefiles can take advantage of certain options:
### Samples by OS ### Samples by OS
#### Linux #### Linux
**[cudaTensorCoreGemm](./Samples/cudaTensorCoreGemm)** | **[conjugateGradientMultiBlockCG](./Samples/conjugateGradientMultiBlockCG)** | **[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[conjugateGradientMultiBlockCG](./Samples/conjugateGradientMultiBlockCG)** | **[shfl_scan](./Samples/shfl_scan)** | **[deviceQuery](./Samples/deviceQuery)** |
---|---|---|---| ---|---|---|---|
**[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** | **[simpleCUFFT](./Samples/simpleCUFFT)** | **[simpleCUBLAS](./Samples/simpleCUBLAS)** | **[conjugateGradientMultiDeviceCG](./Samples/conjugateGradientMultiDeviceCG)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** | **[conjugateGradientMultiDeviceCG](./Samples/conjugateGradientMultiDeviceCG)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[simpleCUFFT](./Samples/simpleCUFFT)** |
**[matrixMul](./Samples/matrixMul)** | **[shfl_scan](./Samples/shfl_scan)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** | **[deviceQuery](./Samples/deviceQuery)** | **[simpleCUBLAS](./Samples/simpleCUBLAS)** | **[cudaTensorCoreGemm](./Samples/cudaTensorCoreGemm)** | **[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** | **[matrixMul](./Samples/matrixMul)** |
#### Windows #### Windows
**[cudaTensorCoreGemm](./Samples/cudaTensorCoreGemm)** | **[conjugateGradientMultiBlockCG](./Samples/conjugateGradientMultiBlockCG)** | **[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[conjugateGradientMultiBlockCG](./Samples/conjugateGradientMultiBlockCG)** | **[shfl_scan](./Samples/shfl_scan)** | **[deviceQuery](./Samples/deviceQuery)** |
---|---|---|---| ---|---|---|---|
**[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** | **[simpleCUFFT](./Samples/simpleCUFFT)** | **[simpleCUBLAS](./Samples/simpleCUBLAS)** | **[conjugateGradientMultiDeviceCG](./Samples/conjugateGradientMultiDeviceCG)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[simpleCUFFT](./Samples/simpleCUFFT)** | **[simpleCUBLAS](./Samples/simpleCUBLAS)** |
**[matrixMul](./Samples/matrixMul)** | **[shfl_scan](./Samples/shfl_scan)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** | **[deviceQuery](./Samples/deviceQuery)** | **[cudaTensorCoreGemm](./Samples/cudaTensorCoreGemm)** | **[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** | **[matrixMul](./Samples/matrixMul)** |
#### Mac OSX #### Mac OSX
**[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** | **[simpleCUFFT](./Samples/simpleCUFFT)** | **[warpAggregatedAtomicsCG](./Samples/warpAggregatedAtomicsCG)** | **[shfl_scan](./Samples/shfl_scan)** | **[deviceQuery](./Samples/deviceQuery)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** |
---|---|---|---| ---|---|---|---|
**[simpleCUBLAS](./Samples/simpleCUBLAS)** | **[matrixMul](./Samples/matrixMul)** | **[shfl_scan](./Samples/shfl_scan)** | **[simpleVoteIntrinsics](./Samples/simpleVoteIntrinsics)** | **[matrixMulDrv](./Samples/matrixMulDrv)** | **[simpleCUFFT](./Samples/simpleCUFFT)** | **[simpleCUBLAS](./Samples/simpleCUBLAS)** | **[vectorAdd_nvrtc](./Samples/vectorAdd_nvrtc)** |
**[deviceQuery](./Samples/deviceQuery)** | **[matrixMul](./Samples/matrixMul)** |
## Dependencies ## Dependencies
@ -193,13 +193,17 @@ These CUDA features are needed by some CUDA samples. They are provided by either
CUFFT Callback Routines are user-supplied kernel routines that CUFFT will call when loading or storing data. These callback routines are only available on Linux x86_64 and ppc64le systems. CUFFT Callback Routines are user-supplied kernel routines that CUFFT will call when loading or storing data. These callback routines are only available on Linux x86_64 and ppc64le systems.
#### CUDA Dynamic Paralellism #### CUDA Dynamic Parallellism
CDP (CUDA Dynamic Paralellism) allows kernels to be launched from threads running on the GPU. CDP is only available on GPUs with SM architecture of 3.5 or above. CDP (CUDA Dynamic Parallellism) allows kernels to be launched from threads running on the GPU. CDP is only available on GPUs with SM architecture of 3.5 or above.
#### Multi-block Cooperative Groups #### Multi-block Cooperative Groups
Multi Block Cooperative Groups(MBCG) extends Cooperative Groups and the CUDA programming model to express inter-thread-block synchronization. MBCG is available on GPUs with Pascal and higher architecture on Linux systems. Multi Block Cooperative Groups(MBCG) extends Cooperative Groups and the CUDA programming model to express inter-thread-block synchronization. MBCG is available on GPUs with Pascal and higher architecture.
#### Multi-Device Cooperative Groups
Multi Device Cooperative Groups extends Cooperative Groups and the CUDA programming model enabling thread blocks executing on multiple GPUs to cooperate and synchronize as they execute. This feature is available on GPUs with Pascal and higher architecture.
#### CUBLAS #### CUBLAS
@ -231,16 +235,12 @@ NPP (NVIDIA Performance Primitives) provides GPU-accelerated image, video, and s
#### NVGRAPH #### NVGRAPH
NVGRAPH is a GPU-accelerated graph analytics library.. NVGRAPH is a GPU-accelerated graph analytics library.
#### NVRTC #### NVRTC
NVRTC (CUDA RunTime Compilation) is a runtime compilation library for CUDA C++. NVRTC (CUDA RunTime Compilation) is a runtime compilation library for CUDA C++.
#### NVCUVID
NVCUVID (NVIDIA CUDA Video Decoder) provides GPU-accelerated video decoding capabilities.
#### Stream Priorities #### Stream Priorities
Stream Priorities allows the creation of streams with specified priorities. Stream Priorities is only available on GPUs with SM architecture of 3.5 or above. Stream Priorities allows the creation of streams with specified priorities. Stream Priorities is only available on GPUs with SM architecture of 3.5 or above.
@ -259,7 +259,7 @@ NVCC support of [C++11 features](https://en.wikipedia.org/wiki/C++11).
## Contributors Guide ## Contributors Guide
We welcome your input on issues and suggestions for new samples. At this time we are not accepting contributions from the public, check back here as we evolve our contribution model. We welcome your input on issues and suggestions for samples. At this time we are not accepting contributions from the public, check back here as we evolve our contribution model.
We use Google C++ Style Guide for all the sources https://google.github.io/styleguide/cppguide.html We use Google C++ Style Guide for all the sources https://google.github.io/styleguide/cppguide.html
@ -267,3 +267,8 @@ We use Google C++ Style Guide for all the sources https://google.github.io/style
Answers to frequently asked questions about CUDA can be found at http://developer.nvidia.com/cuda-faq and in the [CUDA Toolkit Release Notes](http://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html). Answers to frequently asked questions about CUDA can be found at http://developer.nvidia.com/cuda-faq and in the [CUDA Toolkit Release Notes](http://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html).
## References
* [CUDA Programming Guide](http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html)
* [Accelerated Computing Blog](https://devblogs.nvidia.com/category/accelerated-computing/)

3
Samples/conjugateGradientMultiDeviceCG/NsightEclipse.xml
View File

@ -58,9 +58,6 @@
<arch>ppc64le</arch> <arch>ppc64le</arch>
<platform>linux</platform> <platform>linux</platform>
</env> </env>
<env>
<platform>windows</platform>
</env>
</supported_envs> </supported_envs>
<supported_sm_architectures> <supported_sm_architectures>
<from>6.0</from> <from>6.0</from>

12
Samples/conjugateGradientMultiDeviceCG/README.md
View File

@ -14,7 +14,7 @@ Unified Memory, Linear Algebra, Cooperative Groups, MultiDevice Cooperative Grou
## Supported OSes ## Supported OSes
Linux, Windows Linux
## Supported CPU Architecture ## Supported CPU Architecture
@ -35,16 +35,6 @@ Make sure the dependencies mentioned in [Dependencies]() section above are insta
## Build and Run ## 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 ### 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: 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:
``` ```

5
Samples/matrixMulDrv/Makefile
View File

@ -310,9 +310,10 @@ else
ifeq ("$(CUDALIB)","") ifeq ("$(CUDALIB)","")
$(info >>> WARNING - libcuda.so not found, CUDA Driver is not installed. Please re-install the driver. <<<) $(info >>> WARNING - libcuda.so not found, CUDA Driver is not installed. Please re-install the driver. <<<)
SAMPLE_ENABLED := 0 SAMPLE_ENABLED := 0
else
CUDALIB := $(shell echo $(CUDALIB) | sed "s/ .*//" | sed "s/\/libcuda.so//" )
LIBRARIES += -L$(CUDALIB) -lcuda
endif endif
LIBRARIES += -lcuda
endif endif
ifeq ($(SAMPLE_ENABLED),0) ifeq ($(SAMPLE_ENABLED),0)

11
Samples/vectorAdd_nvrtc/Makefile
View File

@ -257,11 +257,7 @@ LIBRARIES :=
# libNVRTC specific libraries # libNVRTC specific libraries
ifeq ($(TARGET_OS),darwin) ifeq ($(TARGET_OS),darwin)
LDFLAGS += -L$(CUDA_PATH)/lib -framework CUDA LDFLAGS += -L$(CUDA_PATH)/lib -F/Library/Frameworks -framework CUDA
else ifeq ($(TARGET_ARCH),x86_64)
LDFLAGS += -L$(CUDA_PATH)/lib64/stubs -L$(CUDA_PATH)/lib64
else ifeq ($(TARGET_ARCH),ppc64le)
LDFLAGS += -L$(CUDA_PATH)/targets/ppc64le-linux/lib/stubs -L$(CUDA_PATH)/targets/ppc64le-linux/lib
endif endif
ifeq ($(TARGET_OS),darwin) ifeq ($(TARGET_OS),darwin)
@ -304,9 +300,10 @@ else
ifeq ("$(CUDALIB)","") ifeq ("$(CUDALIB)","")
$(info >>> WARNING - libcuda.so not found, CUDA Driver is not installed. Please re-install the driver. <<<) $(info >>> WARNING - libcuda.so not found, CUDA Driver is not installed. Please re-install the driver. <<<)
SAMPLE_ENABLED := 0 SAMPLE_ENABLED := 0
else
CUDALIB := $(shell echo $(CUDALIB) | sed "s/ .*//" | sed "s/\/libcuda.so//" )
LIBRARIES += -L$(CUDALIB) -lcuda
endif endif
LIBRARIES += -lcuda
endif endif
INCLUDES += -I$(CUDA_PATH)/include INCLUDES += -I$(CUDA_PATH)/include