Extended work-stealing strategies exhibit significant improvement with respect to the UTS benchmark, even if the task is very fine-grain and non-uniform.
Extended work-stealing strategies exhibit significant improvement with respect to the UTS benchmark, even if the task is very fine-grain and non-uniform.
(PDF) Efficient Work Stealing for Fine Grained Parallelism
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PDF | This paper deals with improving the performance of fine grain task parallelism. It is often either cumbersome or impossible to increase the grain.
In this paper we present the direct task stack, a novel work stealing algorithm with unusually low overheads, both for creating tasks and for stealing. We ...
In this paper, we present a proof-of-concept parallelism framework which was implemented in particular for soft real-time systems and having tight timing and ...
Aug 18, 2024 · Work-stealing parallelism is a powerful and versatile algorithmic approach that addresses the challenges of dynamic load balancing in parallel computing.
Fine-grained tasks play a crucial role in the effectiveness of work stealing algorithms by enabling rapid task allocation across processors. This allows idle ...
Efficient work-stealing strategies for fine-grain task parallelism. A. Adnan, Mitsuhisa Sato. University of Tsukuba. Research output: Chapter in Book/Report ...
In this work we leverage Task-Stealing as an efficient load balancing mechanism, combining it with additional techniques to schedule pipeline-parallel ...
Fine-grain parallelism necessitates minimizing scheduling costs, as it is well-known that thread scheduling at the user task level is much lower than at the OS ...