2 citations · 2 across the 3 of their papers we have counts for
3 papers
Anatomy of High-Performance Column-Pivoted QR Decomposition
Maksim Melnichenko, Riley Murray, William Killian +4
We introduce an algorithmic framework for performing QR factorization with column pivoting (QRCP) on general matrices. The framework enables the design of practical QRCP algorithms…
SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
Tokey Tahmid, Mark Gates, Piotr Luszczek +1
In this era of AI revolution, massive investments in large-scale data-driven AI systems demand high-performance computing, consuming tremendous energy and resources. This trend rai…
Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes
Neil Lindquist, Piotr Luszczek, Jack Dongarra
Parker and Lê introduced random butterfly transforms (RBTs) as a preprocessing technique to replace pivoting in dense LU factorization. Unfortunately, their FFT-like recursive stru…