MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Abstract: Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the ...

Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.

This article will take single-precision matrix multiplication (Sgemm) as an example to discuss the optimization and acceleration of CUDA performance, and use the basic knowledge of CUDA optimization ...

Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...