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 ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

AZ startup, design boost; Nvidia, Intel $5B investment, collab; Samsung Texas gets $250M; MediaTek tapes out 2nm; Siemens automated DFT; chip wars; Japan puts $3.6B in Micron; EU Chips Act 2; UK AI; ...