D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
Abstract: Sparse Matrix-Dense Vector Multiplication (SpMV) is an important computational primitive which is bounded by memory bandwidth. Computing-in-memory (CIM) is regarded as an effective approach ...
Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
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