Latency-Hiding Work Stealing
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
Funder
National Science Foundation
Microsoft Research
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2935764.2935793
Reference30 articles.
1. U. A. Acar G. E. Blelloch and R. D. Blumofe. The data locality of work stealing. Theory of Computing Systems (TOCS) 35(3):321--347 2002. U. A. Acar G. E. Blelloch and R. D. Blumofe. The data locality of work stealing. Theory of Computing Systems (TOCS) 35(3):321--347 2002.
2. Scheduling parallel programs by work stealing with private deques
3. Provably good scheduling for parallel programs that use data structures through implicit batching
4. Thread Scheduling for Multiprogrammed Multiprocessors
5. Scheduling irregular parallel computations on hierarchical caches
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