Abstract: By separating huge dimensional matrix-matrix multiplication at a single computing node into parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes, coded ...
Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...
The Long Multiplication Benchmark evaluates Large Language Models (LLMs) on their ability to handle and utilize long contexts to solve multiplication problems. Despite long multiplication requiring ...
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