Abstract: Achieving high performance for Sparse Matrix-Matrix Multiplication (SpMM) has received increasing research attention, especially on multi-core CPUs, due to the large input data size in ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
An image of the core region of Messier 87, home to a supermassive black hole, processed from a sparse array of radio telescopes known as the Event Horizon Telescope. (Image credit: Event Horizon ...
A modular, high-signal Legal Info MCP Server that provides structured, methodology‑driven prompt endpoints for rapid legal/compliance landscape mapping, gap discovery, and risk prioritization across ...
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