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List scheduling of parallel tasks

Information Processing Letters, 1991
The original list scheduling algorithm \textit{R. L. Graham} [Bounds an multprocessing timing anomalies, SIAM J. Appl. Math. 17, 416-429 (1969)] is presented and its performance ratio is shown to be \(\Delta +(m- \Delta)/m\) when parallel tasks are involved.
Wang, Qingzhou, Cheng, Kam Hoi
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Optimizing recursive task parallel programs

Proceedings of the International Conference on Supercomputing, 2017
We present a new optimization DECAF that optimizes recursive task parallel (RTP) programs by reducing the task creation and termination overheads. DECAF reduces the task termination (join) operations by aggressively increasing the scope of join operations (in a semantics preserving way), and eliminating the redundant join operations discovered on the ...
Suyash Gupta   +2 more
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On Scheduling Parallel Tasks at Twilight

Theory of Computing Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Eventify: Event-Based Task Parallelism for Strong Scaling

Platform for Advanced Scientific Computing Conference, 2020
David Haensel   +4 more
semanticscholar   +1 more source

Bicriteria Parallel task scheduling

2005
In this paper, we study the problem of scheduling on $k$ identical machines a set of parallel tasks with release dates and deadlines in order to optimize simultaneously two conflicting criteria, namely the \emphSize (number of scheduled tasks) and the \emphWeight (sum of the weight of scheduled tasks). We distinguish two variants of the problem: In the
Baille, Fabien   +3 more
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A System for Fast and Scalable Point Cloud Indexing Using Task Parallelism

Smart Tools and Applications in Graphics, 2020
P. Bormann, Michel Krämer
semanticscholar   +1 more source

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads

Euro-Par Workshops, 2021
Cheng-Hsiang Chiu   +2 more
semanticscholar   +1 more source

Evolution of a Parallel Task Combinator

2013
The development of experimental software is rarely straightforward. If you start making something you don't understand yet, it is very unlikely you get it right at the first try. The iTask system has followed this predictably unpredictable path. In this system, where combinator functions are used to construct interactive workflow support systems, the ...
openaire   +2 more sources

Featherlight Speculative Task Parallelism

2019
Speculative task parallelism is a widely used technique for solving search based irregular computations such as graph algorithms. Here, tasks are created speculatively to traverse different search spaces in parallel. Only a few of these tasks succeed in finding the solution, after which the remaining tasks are canceled. For ensuring timely cancellation
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Integrating task and data parallelism

Proceedings of the 1993 ACM/IEEE conference on Supercomputing - Supercomputing '93, 1993
The increased computational power of massively parallel computers and high bandwidth low latency computer networks will make a wide range of previously unpractical problems feasible. This will inevitably result in the need to develop parallel software whose complexity far exceeds that of parallel programs being developed today.
Foster, Ian, Kesselman, Carl
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