High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Enhances Model Authoring Efficiency and Simulation Performance Utilizing Multicore Capabilities MOUNTAIN VIEW, Calif., March 3, 2010 -- Synopsys, Inc. (Nasdaq: SNPS), a world leader in software and IP ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...