Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...
Abstract: This article presents a 32-bit floating-point (FP32) programmable accelerator for solving a wide range of partial differential equations (PDEs) based on numerical integration methods.
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