Abstract: The sparse matrix-vector multiplication (SpMV) is a fundamental computational kernel used in science and engineering. As a result, the performance of a large number of applications depends ...
Abstract: Transformer-based Large Language Models (LLMs) rely on both General Matrix-Matrix Multiplication (GEMM) and General Matrix-Vector Multiplication (GEMV) for inference. While existing ...
“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...
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