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Search results for hpc gpu acceleration
gpu-acceleration
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hpc
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12 search results found
Cccl
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523
CUDA C++ Core Libraries
How_to_optimize_in_gpu
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346
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
Parallelreductionsbenchmark
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58
Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
Ramsesgpu
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50
Astrophysics MHD simulation code optimized for large cluster of GPU
Slate
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49
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy Exascale Computing Project (ECP).
Self
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42
Spectral Element Library in Fortran
Spfft
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36
Sparse 3D FFT library with MPI, OpenMP, CUDA and ROCm support
Ptxprofiler
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30
A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.
Neon
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28
Multi-GPU Framework for Voxel Grid Computations
Care
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26
CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
Gpu Normal Computation
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7
Performing normal computation for big point clouds on the gpu using openCL
Micm
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5
A model-independent chemistry module for atmosphere models
1-12 of 12 search results
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