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 he 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. |
Year | Venue | Field |
---|---|---|
2018 | PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | Shared memory,Cache,Scheduling (computing),Computer science,Instruction set,Parallel computing,Network on a chip,Chip,Memory address,Scalability |
DocType | ISSN | Citations |
Conference | 1530-1591 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anuj Pathania | 1 | 181 | 14.97 |
J. Henkel | 2 | 4471 | 366.50 |