Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a high-precision and scalable analogue matrix computing chip based on RERAM, which ...

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

I made a program that reads CSV data and analyzes it. The program calculates averages and creates different charts like bar graphs, scatter plots, and heatmaps to visualize the data. I built a machine ...

If you are running AI workloads, here is something that might surprise you. Your processors are wasting more energy shuffling data around than actually doing the calculations you care about. This ...