Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...
NEW YORK, NY / ACCESS Newswire / December 11, 2025 / Some breakthroughs feel inevitable in hindsight. SMX's (NASDAQ:SMX) latest industrial pilot is one of those moments. The kind of shift that forces ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Abstract: Matrix product codes are generalizations of some well-known classes of codes, including generalized Reed-Muller codes and repeated-root constacyclic codes. Recently, a bound for the minimum ...
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