computecpp-sdk | using ComputeCpp , Codeplay 's SYCL implementation | GPU library
kandi X-RAY | computecpp-sdk Summary
kandi X-RAY | computecpp-sdk Summary
computecpp-sdk is a C library typically used in Hardware, GPU applications. computecpp-sdk has no bugs, it has no vulnerabilities and it has low support. However computecpp-sdk has a Non-SPDX License. You can download it from GitHub.
This is the README for the ComputeCpp SDK, a collection of sample code, utilities and tools for Codeplay’s ComputeCpp, an implementation of the SYCL programming standard. You can find more information at:.
This is the README for the ComputeCpp SDK, a collection of sample code, utilities and tools for Codeplay’s ComputeCpp, an implementation of the SYCL programming standard. You can find more information at:.
Support
Quality
Security
License
Reuse
Support
computecpp-sdk has a low active ecosystem.
It has 270 star(s) with 84 fork(s). There are 43 watchers for this library.
It had no major release in the last 6 months.
There are 13 open issues and 87 have been closed. On average issues are closed in 180 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of computecpp-sdk is current.
Quality
computecpp-sdk has 0 bugs and 0 code smells.
Security
computecpp-sdk has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
computecpp-sdk code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
computecpp-sdk has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
computecpp-sdk releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of computecpp-sdk
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of computecpp-sdk
computecpp-sdk Key Features
No Key Features are available at this moment for computecpp-sdk.
computecpp-sdk Examples and Code Snippets
No Code Snippets are available at this moment for computecpp-sdk.
Community Discussions
Trending Discussions on computecpp-sdk
QUESTION
Segmentation Fault in a SYCL Kernel
Asked 2021-Jun-30 at 10:18
I have been trying to implement naive matrix multiplication in SYCL, but I always keep running into segmentation fault once the kernel start. My code is as follows -
...ANSWER
Answered 2021-Jun-30 at 10:18Here are a few issues I've found in your code:
- The following:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install computecpp-sdk
On the Codeplay website there is a step-by-step guide to building and running the ComputeCpp SDK samples. There is also a guide to SYCL that serves as an introduction to SYCL development. Additionally, there is an Integration guide should you wish to add ComputeCpp to existing projects.
CMake files are provided as a build system for this software. CMake version 3.4.3 is required at minimum, though later versions of CMake should continue to be compatible. At minimum, one CMake variable is required to get the sample code building - ComputeCpp_DIR. This variable should point to the root directory of the ComputeCpp install (i.e. the directory with the the folders bin, include, lib and so on). You can also specify COMPUTECPP_SDK_BUILD_TESTS to add the tests/ subdirectory to the build, which will build Gtest-based programs testing the legacy pointer and virtual pointer classes. Some samples have optional OpenMP support. You can enable it by setting COMPUTECPP_SDK_USE_OPENMP to ON in CMake. You can additionally specify CMAKE_BUILD_TYPE and CMAKE_INSTALL_PREFIX to choose a Debug or Release build and the location you’d like to be used when the "install" target is built. The install target currently will copy all the sample binaries to the directory of your choosing. Lastly, the SDK will build targeting spir64 IR by default. This will work on most devices, but won’t work on NVIDIA (for example). To that end, you can specify -DCOMPUTECPP_BITCODE=target, which can be any of spir[64], spirv[64] or ptx64. It is possible to specify multiple targets to COMPUTECPP_BITCODE, as a CMake list. Note that only the Professional Edition of ComputeCpp supports building multiple device targets. If you would like to crosscompile the SDK targeting some other platform, there are toolchain files available in the cmake/toolchains directory. They require certain variables pointing to the root of the toolchain you are using to be set in the environment. They cannot be specificed in the CMake cache. The toolchains will identify which variables have not been set when used.
CMake files are provided as a build system for this software. CMake version 3.4.3 is required at minimum, though later versions of CMake should continue to be compatible. At minimum, one CMake variable is required to get the sample code building - ComputeCpp_DIR. This variable should point to the root directory of the ComputeCpp install (i.e. the directory with the the folders bin, include, lib and so on). You can also specify COMPUTECPP_SDK_BUILD_TESTS to add the tests/ subdirectory to the build, which will build Gtest-based programs testing the legacy pointer and virtual pointer classes. Some samples have optional OpenMP support. You can enable it by setting COMPUTECPP_SDK_USE_OPENMP to ON in CMake. You can additionally specify CMAKE_BUILD_TYPE and CMAKE_INSTALL_PREFIX to choose a Debug or Release build and the location you’d like to be used when the "install" target is built. The install target currently will copy all the sample binaries to the directory of your choosing. Lastly, the SDK will build targeting spir64 IR by default. This will work on most devices, but won’t work on NVIDIA (for example). To that end, you can specify -DCOMPUTECPP_BITCODE=target, which can be any of spir[64], spirv[64] or ptx64. It is possible to specify multiple targets to COMPUTECPP_BITCODE, as a CMake list. Note that only the Professional Edition of ComputeCpp supports building multiple device targets. If you would like to crosscompile the SDK targeting some other platform, there are toolchain files available in the cmake/toolchains directory. They require certain variables pointing to the root of the toolchain you are using to be set in the environment. They cannot be specificed in the CMake cache. The toolchains will identify which variables have not been set when used.
Support
The master branch of computecpp-sdk is regularly tested with the "Supported" hardware listed on the ComputeCpp Supported Platforms page.
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