dpnp
ParallelReductionsBenchmark
dpnp | ParallelReductionsBenchmark | |
---|---|---|
1 | 2 | |
91 | 59 | |
- | - | |
9.5 | 4.6 | |
5 days ago | 5 months ago | |
Python | C++ | |
BSD 2-clause "Simplified" License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dpnp
We haven't tracked posts mentioning dpnp yet.
Tracking mentions began in Dec 2020.
ParallelReductionsBenchmark
-
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?
numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
cupy - NumPy & SciPy for GPU
ispc - Intel® Implicit SPMD Program Compiler
sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
gpuowl - GPU Mersenne primality test.
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
matchering - 🎚️ Open Source Audio Matching and Mastering
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