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• W2116718945 abstract "High-productivity languages for parallel computing become more important as parallel environments including multicores become more common. Cilk is such a language. It provides good load balancing for many applications including irregular ones; that is, it keeps all workers busy by creating plenty of logical threads and adopting the oldest-first work stealing strategy. This paper proposes a logical thread-free framework called Tascell, which achieves a higher performance and supports a wider range of parallel environments including clusters without loss of productivity. A Tascell worker spawns a real task only when requested by another idle worker. The worker performs the spawning by temporarily backtracking and restoring its oldest task-spawnable state. Our approach eliminates the cost of spawning/managing logical threads. It also promotes the reuse of workspaces and improves the locality of reference since it does not need to prepare a workspace for each concurrently runnable logical thread. Furthermore, Tascell enables elegant and highly-efficient backtrack search algorithms with delayed workspace copying. For instance, our 16-queens problem solver is 1.86 times faster than Cilk on a system with two dual-core processors. Our approach also enables a single program to run in both shared and distributed memory environments with reasonable efficiency and scalability." @default.
• W2116718945 created "2016-06-24" @default.
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• W2116718945 date "2009-02-14" @default.
• W2116718945 modified "2023-10-12" @default.
• W2116718945 title "Backtracking-based load balancing" @default.
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• W2116718945 doi "https://doi.org/10.1145/1504176.1504187" @default.
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