Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

Abstract: In this paper, we propose a sparse matrix multiplication in a decentralized setting, where a set of worker nodes wishes to compute a task collaboratively over a logical ring. We consider a ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

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Modular Mojo is a new programming language designed for AI developers that is said to combine the usability of Python with the performance of C with over 36,000 times the performance of Python on a ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.