OpenCL-Benchmark
ParallelReductionsBenchmark
| OpenCL-Benchmark | ParallelReductionsBenchmark | |
|---|---|---|
| 1 | 2 | |
| 103 | 59 | |
| - | - | |
| 5.7 | 4.6 | |
| 4 days ago | 5 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | - |
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OpenCL-Benchmark
ParallelReductionsBenchmark
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Failing to Reach 204 GB/S DDR4 Bandwidth
For the single threaded version, they have a data hazard on the sums that could be smoothed out with a little loop unrolling and separate variables.
But in the [threaded version](https://github.com/unum-cloud/ParallelReductions/blob/fd16d9...) they have separate slots for an accumulator but it's still in a shared vector, which most likely has the issue I described.
What are some alternatives?
ArrayFire - ArrayFire: a general purpose GPU library.
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
Boost.Compute - A C++ GPU Computing Library for OpenCL
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gpuowl - GPU Mersenne primality test.
FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends
relion - Image-processing software for cryo-electron microscopy
amgcl - C++ library for solving large sparse linear systems with algebraic multigrid method