Task Scheduling for Many-Cores with S-NUCA Caches

Abstract

A many-core processor may comprise a large number of processing cores on a single chip. The many-core’s last-level shared cache can potentially be physically distributed alongside the cores in the form of cache banks connected through a Network on Chip (NoC). Static Non-Uniform Cache Access (S-NUCA) memory address mapping policy provides a scalable mechanism for providing the cores quick access to the entire last-level cache. By design, S-NUCA introduces a unique topology-based performance heterogeneity and we introduce a scheduler that can exploit it. The proposed scheduler improves performance of the many-core by 9.93% in comparison to a state-of-the-art generic many-core scheduler with minimal run-time overheads.

Publication
Design Automation and Test in Europe
Anuj Pathania
Anuj Pathania
Assistant Professor

Anuj Pathania is an Assistant Professor in the Parallel Computing Systems (PCS) group at the University of Amsterdam (UvA). His research focuses on the design of sustainable systems deployed in power-, thermal-, energy- and reliability-constrained environments.