Abstract: In linear solvers, like the conjugate gradient algorithm, sparse-matrix vector multiplication is an important kernel. Due to the sparseness of the matrices, the solver runs relatively slow.
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A new route to optimize AI hardware: Homodyne gradient extraction
A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make ...
Scientists from National Taiwan University and the National Institutes of Applied Research of Taiwan have developed a rapid ...
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Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of ...
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