Commit
·
b7a26d0
1
Parent(s):
0d7e51f
Progress on CUDA / OpenCL category
Browse files
PyTorchConference2025_GithubRepos.json
CHANGED
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@@ -320,21 +320,25 @@
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"github_topic_closest_fit": "performance-analysis"
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},
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{
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-
"repo_link": "https://github.com/vosen/ZLUDA",
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"repo_name": "ZLUDA",
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"github_about_section": "CUDA on non-NVIDIA GPUs",
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"homepage_link": "https://vosen.github.io/ZLUDA/",
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"github_topic_closest_fit": "cuda"
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},
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{
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"repo_link": "https://github.com/vtsynergy/CU2CL",
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"repo_name": "CU2CL",
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"github_about_section": "A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework",
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"homepage_link": "http://chrec.cs.vt.edu/cu2cl"
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},
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{
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"repo_link": "https://github.com/pocl/pocl",
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"repo_name": "pocl",
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"github_about_section": "pocl - Portable Computing Language",
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"homepage_link": "https://portablecl.org",
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"github_topic_closest_fit": "opencl"
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@@ -410,6 +414,7 @@
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{
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"repo_link": "https://github.com/NVIDIA/nccl",
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"repo_name": "nccl",
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"github_about_section": "Optimized primitives for collective multi-GPU communication",
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"homepage_link": "https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html",
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"github_topic_closest_fit": "cuda"
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@@ -678,6 +683,7 @@
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{
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"repo_link": "https://github.com/NVIDIA/cuda-python",
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"repo_name": "cuda-python",
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"github_about_section": "CUDA Python: Performance meets Productivity",
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"homepage_link": "https://nvidia.github.io/cuda-python/"
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},
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@@ -696,16 +702,35 @@
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"github_topic_closest_fit": "inference"
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},
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{
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"repo_link": "https://github.com/KhronosGroup/SYCL-Docs",
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"repo_name": "SYCL-Docs",
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"
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},
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{
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"repo_link": "https://github.com/triSYCL/triSYCL",
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"repo_name": "triSYCL",
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"github_about_section": "Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
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"github_topic_closest_fit": "opencl"
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},
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{
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"repo_link": "https://github.com/pybind/pybind11",
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"repo_name": "pybind11",
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@@ -734,9 +759,11 @@
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"category": "compiler"
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},
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{
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"repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
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"repo_name": "OpenCL-SDK",
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"
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},
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{
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"repo_link": "https://github.com/meta-llama/synthetic-data-kit",
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"github_topic_closest_fit": "performance-analysis"
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},
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{
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"repo_name": "ZLUDA",
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"repo_link": "https://github.com/vosen/ZLUDA",
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"category": "CUDA / OpenCL",
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"github_about_section": "CUDA on non-NVIDIA GPUs",
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"homepage_link": "https://vosen.github.io/ZLUDA/",
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"github_topic_closest_fit": "cuda"
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},
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{
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"repo_name": "CU2CL",
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"repo_link": "https://github.com/vtsynergy/CU2CL",
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"category": "CUDA / OpenCL",
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"github_about_section": "A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework",
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"homepage_link": "http://chrec.cs.vt.edu/cu2cl",
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"github_topic_closest_fit": "opencl"
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},
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{
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"repo_name": "pocl",
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"repo_link": "https://github.com/pocl/pocl",
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"category": "CUDA / OpenCL",
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"github_about_section": "pocl - Portable Computing Language",
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"homepage_link": "https://portablecl.org",
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"github_topic_closest_fit": "opencl"
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{
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"repo_link": "https://github.com/NVIDIA/nccl",
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"repo_name": "nccl",
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"category": "CUDA / OpenCL",
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"github_about_section": "Optimized primitives for collective multi-GPU communication",
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"homepage_link": "https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html",
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"github_topic_closest_fit": "cuda"
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{
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"repo_link": "https://github.com/NVIDIA/cuda-python",
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"repo_name": "cuda-python",
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"category": "CUDA / OpenCL",
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"github_about_section": "CUDA Python: Performance meets Productivity",
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"homepage_link": "https://nvidia.github.io/cuda-python/"
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},
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"github_topic_closest_fit": "inference"
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},
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{
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"repo_name": "SYCL-Docs",
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"repo_link": "https://github.com/KhronosGroup/SYCL-Docs",
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"category": "CUDA / OpenCL",
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"github_about_section": "SYCL Open Source Specification",
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"github_topic_closest_fit": "opencl"
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},
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{
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"repo_name": "triSYCL",
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"repo_link": "https://github.com/triSYCL/triSYCL",
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"category": "CUDA / OpenCL",
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"github_about_section": "Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
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"github_topic_closest_fit": "opencl"
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},
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{
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"repo_name": "AdaptiveCpp",
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"repo_link": "https://github.com/AdaptiveCpp/AdaptiveCpp",
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"category": "compiler",
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"github_about_section": "Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!",
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"homepage_link": "https://adaptivecpp.github.io",
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"github_topic_closest_fit": "compiler"
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},
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{
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"repo_name": "oneDPL",
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"repo_link": "https://github.com/uxlfoundation/oneDPL",
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"category": "compiler",
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"github_about_section": "oneAPI DPC++ Library (oneDPL)",
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"homepage_link": "https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html",
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"github_topic_closest_fit": "compiler"
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},
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{
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"repo_link": "https://github.com/pybind/pybind11",
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"repo_name": "pybind11",
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"category": "compiler"
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},
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{
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"repo_name": "OpenCL-SDK",
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"repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
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"category": "CUDA / OpenCL",
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"github_about_section": "OpenCL SDK",
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"github_topic_closest_fit": "opencl"
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},
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{
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"repo_link": "https://github.com/meta-llama/synthetic-data-kit",
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