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Become a sponsor to Stillwater Supercomputing, Inc.

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.

3 sponsors have funded stillwater-sc’s work.

@stillwater-sc

Number system innovations are buried notoriously deep inside large industrial organizations. All the major computer companies, like IBM, Intel, TI, NVIDIA, Google, Facebook, Huawei, Robert Bosch, GE, Siemens, Philips, etc. have developed, and sometimes published, custom number systems. Our goal is to take these innovations and offer them to a broader community of benefactors to accelerate the adoption and proliferation of multi- and adaptive precision algorithms that we believe will enable a new wave of innovation for embedded intelligence applications where performance and power efficiency matter.

@ztatlock
@jamesquinlan
@ganeshutah

Meet the team

Featured work

  1. 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…

    C++ 409
  2. stillwater-sc/hpr-blas

    High-Performance Reproducible BLAS using posit arithmetic

    C++ 12
  3. stillwater-sc/dataflow

    Building blocks for data-flow machine functional simulation

    Go 3
  4. stillwater-sc/perfmonitor

    Universal Operational Analysis library for performance engineering

    Go
  5. stillwater-sc/hpr-mcmc

    High-Performance Reproducible Markov Chain Monte Carlo simulation algorithms

    C++

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