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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Dr. Michael Goldwasser joined the faculty at Saint Louis University in 2003, having previously been a faculty member at Loyola University in Chicago and a postdoc at Princeton University. He served as ...
Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...
Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...
For educational purposes, I implemented every algorithm in Java! I meant to make a book out of that, but who still reads books? If you find any issues, please fork the repository and send me a pull ...
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