Projects per year
Abstract
Increased system variability and irregularity of parallelism in applications put increasing demands on the ef- ficiency of dynamic task schedulers. This paper presents a new design for a work-stealing scheduler supporting both Cilk- style recursively parallel code and parallelism deduced from dataflow dependences. Initial evaluation on a set of linear algebra kernels demonstrates that our scheduler outperforms PLASMA’s QUARK scheduler by up to 12% on a 16-thread Intel Xeon and by up to 50% on a 32-thread AMD Bulldozer.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Exascale Applications and Software Conference 2015 |
| Place of Publication | Edinburgh |
| Publisher | The University of Edinburgh |
| Pages | 36-41 |
| Number of pages | 6 |
| ISBN (Print) | 978-0-9926615-1-9 |
| Publication status | Published - Jul 2015 |
| Event | Exascale Applications and Software Conference 2015 - Edinburgh, United Kingdom Duration: 21 Apr 2015 → 23 Apr 2015 |
Conference
| Conference | Exascale Applications and Software Conference 2015 |
|---|---|
| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 21/04/2015 → 23/04/2015 |
Fingerprint
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R6394CSC: Software management of hybrid DRAM/NVRAM memory systems
Nikolopoulos, D. (PI) & Vandierendonck, H. (CoI)
01/08/2012 → …
Project: Research
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R6438CSC: An Adaptive, highly Scalable Analytics Platform
Vandierendonck, H. (PI), Nikolopoulos, D. (CoI) & Robinson, P. (CoI)
21/03/2014 → 28/02/2017
Project: Research
