Serpens

Sparse matrix accelerator

An accelerator design for fast sparse matrix-vector multiplication on an HBM FPGA

An HBM FPGA based SpMV Accelerator

GitHub

9 stars
2 watching
5 forks
Language: C++
last commit: 3 months ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
linghaosong/sextans An FPGA-based accelerator for accelerating sparse matrix dense matrix multiplication 69
sparsetech/pine A functional HTML5 and XML library for the Scala platform, providing type-safe bindings and rendering capabilities. 107
indigits/sparse-plex A collection of algorithms and techniques for exploiting sparse data representations to solve various problems in signal processing and machine learning. 98
google/xls Accelerates development of high-performance hardware and software by automating co-design and synthesis 1,212
larspensjo/simplesignal A high-performance signal system for C++11 166
sgorsten/linalg A lightweight vector math library 864
hiroyuki-kasai/sparsegdlibrary A collection of unconstrained optimization algorithms for sparse modeling in MATLAB 53
eecs-ntnu/bismo An FPGA accelerator designed to speed up matrix multiplication in neural networks and other applications 131
dppalomar/sparseeigen This project provides an R package for estimating sparse eigenvectors of matrices. 12
milyardo/sglgears Port of gears.c to Scala using Scala Native, focusing on 3D graphics with OpenGL 14
blas-lapack-rs/accelerate-src Provides optimized linear algebra and numerical computing capabilities via the Accelerate framework 17
james-bowman/sparse A package implementing various sparse matrix formats for efficient linear algebra operations 159
ferrandi/panda-bambu A framework for designing and optimizing hardware accelerators for complex software applications. 243
com-lihaoyi/fastparse A Scala-based library for writing fast parsers using parser combinators. 1,094
google-research/sputnik A library of optimized GPU kernels for sparse matrix operations used in deep learning. 249