Xianzhi Zeng

LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication

Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, parallel and distributed computing, hardware acceleration, and approximate computing…