Comparison of Matrix Multiplication in Traditional vs. Systolic Architectures In a traditional computing architecture (such as CPUs or GPUs), matrix multiplication is performed by fetching data from ...

Abstract: Efficient and scalable matrix operations are being highly demanding in the recent era of Machine Learning, Deep Learning, and Big Data Analytics. The two commonly used matrix-matrix ...

Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...

Abstract: The demand for efficient, low-power, and high-speed deep neural network (DNN) accelerators has driven the need for specialized hardware architectures. This work presents the VLSI ...