amgcl
ParallelReductionsBenchmark
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| amgcl | ParallelReductionsBenchmark | |
|---|---|---|
| 1 | 2 | |
| 702 | 59 | |
| - | - | |
| 3.9 | 4.6 | |
| 6 months ago | 5 months ago | |
| C++ | C++ | |
| MIT License | - |
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amgcl
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?
faasm - High-performance stateful serverless runtime based on WebAssembly
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
primecount - 🚀 Fast prime counting function implementations
ispc - Intel® Implicit SPMD Program Compiler
dmtcp - DMTCP: Distributed MultiThreaded CheckPointing
gpuowl - GPU Mersenne primality test.
parallel-kd-tree - Parallel k-d tree with C++17, MPI and OpenMP
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
LazyMath - Complex Conjugate Gradient linear solver and Levenberg-Marquardt minimizer with and without constraints in C++
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
Kratos - Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends