Academic Commons

Reports

Make Parallel Programs Reliable with Stable Multithreading

Wu, Jingyue; Hu, Gang; Tang, Yang; Yang, Junfeng; Cui, Heming; Gallagher, John; Tsai, Chia-Che

Our accelerating computational demand and the rise of multicore hardware have made parallel programs increasingly pervasive and critical. Yet, these programs remain extremely difficult to write, test, analyze, debug, and verify. In this article, we provide our view on why parallel programs, specifically multithreaded programs, are difficult to get right.We present a promising approach we call stable multithreading to dramatically improve reliability, and summarize our last four years' research on building and applying stable multithreading systems.

Subjects

Files

More About This Work

Academic Units
Computer Science
Publisher
Department of Computer Science, Columbia University
Series
Columbia University Computer Science Technical Reports, CUCS-006-13
Published Here
April 5, 2013