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stillwater-sc

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We design and develop high-performance advanced analytics for big data, IIoT, and robotics applications.

Funding Links: https://github.com/sponsors/stillwater-sc

GitHub Sponsors Profile

The Stillwater team is a collection of chip-heads, numerical analysts, and distributed algorithm designers that realized a long time ago that bringing together algorithms with custom hardware yields compute systems that are orders of magnitude faster, better, cheaper than general purpose solutions.
To enable the industry and showcase the benefits of custom computes most of our engineering efforts are open source for anyone to take advantage of these benefits. Individual and corporate sponsorship is essential to create these solutions and to maintain them on behalf of the community of researchers, makers, and corporate entities.
Any funds raised will be immediately put back into our open source efforts, with new innovations, bug fixes, and customer support.

Featured Works

stillwater-sc/universal

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, con…

Language: C++ - Stars: 434
stillwater-sc/hpr-blas

High-Performance Reproducible BLAS using posit arithmetic

Language: C++ - Stars: 12
stillwater-sc/dataflow

Building blocks for data-flow machine functional simulation

Language: Go - Stars: 3
stillwater-sc/perfmonitor

Universal Operational Analysis library for performance engineering

Language: Go - Stars:
stillwater-sc/cnhpc

Language: Shell - Stars:
stillwater-sc/hpr-mcmc

High-Performance Reproducible Markov Chain Monte Carlo simulation algorithms

Language: C++ - Stars:
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