MatX VS GPU-accelerated-guppy-basecalling

Compare MatX vs GPU-accelerated-guppy-basecalling and see what are their differences.

MatX

An efficient C++17 GPU numerical computing library with Python-like syntax (by NVIDIA)
Cuda GPU Gpgpu HPC gpu-computing
Source Code
nvidia.github.io
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GPU-accelerated-guppy-basecalling

GPU-accelerated guppy basecalling and demultiplexing on Linux (by asadprodhan)
GPU Cuda Nvidia gpu-computing Gpgpu
Source Code
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MatX GPU-accelerated-guppy-basecalling
7 1
1,117 15
1.2% -
9.1 3.9
3 days ago 9 months ago
C++ Shell
BSD 3-clause "New" or "Revised" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

MatX

Posts with mentions or reviews of MatX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-03.

GPU-accelerated-guppy-basecalling

Posts with mentions or reviews of GPU-accelerated-guppy-basecalling. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MatX and GPU-accelerated-guppy-basecalling you can also consider the following projects:

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

Trilinos - Primary repository for the Trilinos Project

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

ginkgo - Numerical linear algebra software package

neanderthal - Fast Clojure Matrix Library

conan - Conan - The open-source C and C++ package manager

ILGPU - ILGPU JIT Compiler for high-performance .Net GPU programs

conan-center-index - Recipes for the ConanCenter repository

MatX vs ParallelReductionsBenchmark GPU-accelerated-guppy-basecalling vs cuda-api-wrappers MatX vs cuda_memtest GPU-accelerated-guppy-basecalling vs AdaptiveCpp MatX vs Trilinos GPU-accelerated-guppy-basecalling vs stdgpu MatX vs ginkgo GPU-accelerated-guppy-basecalling vs neanderthal MatX vs conan GPU-accelerated-guppy-basecalling vs ILGPU MatX vs conan-center-index GPU-accelerated-guppy-basecalling vs ParallelReductionsBenchmark