Locality-aware task management for unstructured parallelism
Author:
Affiliation:
1. Intel Labs, Santa Clara, CA, USA
2. Stanford University, Stanford, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2486159.2486175
Reference31 articles.
1. The data locality of work stealing
2. The M5 Simulator: Modeling Networked Systems
3. Scheduling multithreaded computations by work stealing
4. X10
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