Streaming has undoubtedly changed how we watch movies. While nothing can replace the theatrical experience, the pros of streaming ultimately outweigh the cons. That being said, the prices are getting ...

Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

This post is in response to The Emerging Revival of Psychedelics in Neuroscience By Cami Rosso In honor of the long-awaited release of fourth movie in the Matrix series, ‘The Matrix Resurrections,’ it ...

I try to use sprs package in my experimental code. I have encountered the issue of very slow multiplication of large sparse matrices. My code uses large diagonal matrices in CSR format. The matrices ...

As in a typical supercomputer communication takes orders of magnitude more time than computation, there is a growing new field in high-performance algorithms: communication-avoidance. These algorithms ...

Graduate School of Chinese Academy of Engineering Physics, Beijing, China. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing,China. School of ...