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 ...
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Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
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Were the White House’s Tariffs Calculations Done By AI? Your email has been sent Questions have swirled as to whether the U.S. government relied on generative AI to establish the tariffs that are ...
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...
I have been working with the DeepH-E3 model, specifically using the inference task[5] in the deepH-pack for sparse matrix calculations of the band structure. The system I'm working with is a ...
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Provide Purdue faculty, staff, and students with a single source summary of URE programs. Give UR programs, administrators, and mentors broader and inclusive marketing to prospective student ...
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