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Parallel-Task Scheduling on Multiple Resources
2012 24th Euromicro Conference on Real-Time Systems, 2012This paper addresses the problem of scheduling periodic parallel tasks on a multi-resource platform, where tasks have real-time constraints. The goal is to exploit the inherent parallelism of a platform comprised of multiple heterogeneous resources. A resource model is proposed, which abstracts the key properties of any heterogeneous resource from a ...
Mike Holenderski +2 more
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Task and Data Parallelism in P3L
2003In many parallel applications high performance figures are reached at the expenses of software quality. The parallel structure of an application is decided by the programmer and wired in the application code. Resource management is carefully tuned “by hand”, compromising the possibility to reuse the code without substantial re-programming.
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2015 IEEE International Conference on Data Mining, 2015
In this paper, we develop parallel algorithms for a family of regularized multi-task methods which can model task relations under the regularization framework. Since those multi-task methods cannot be parallelized directly, we use the FISTA algorithm, which in each iteration constructs a surrogate function of the original problem by utilizing the ...
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In this paper, we develop parallel algorithms for a family of regularized multi-task methods which can model task relations under the regularization framework. Since those multi-task methods cannot be parallelized directly, we use the FISTA algorithm, which in each iteration constructs a surrogate function of the original problem by utilizing the ...
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Eventify: Event-Based Task Parallelism for Strong Scaling
Platform for Advanced Scientific Computing Conference, 2020David Haensel +4 more
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Task Allocation by Parallel Evolutionary Computing
Journal of Parallel and Distributed Computing, 1997In this paper we will investigate the applicability of parallel evolutionary algorithms to the task allocation problem?a long standing problem in parallel computing. Three different evolutionary optimization strategies, genetic algorithms, simulated annealing, and steepest descent, are formulated in a parallel generic framework. In order to enhance the
Schoneveld, A. +2 more
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Task Scheduling for Parallel Multifrontal Methods
2007We present a new scheduling algorithm for task graphs arising from parallel multifrontal methods for sparse linear systems. This algorithm is based on the theorem proved by Prasanna and Musicus [1] for tree-shaped task graphs, when all tasks exhibit the same degree of parallelism.
Beaumont, Olivier, Guermouche, Abdou
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An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads
Euro-Par Workshops, 2021Cheng-Hsiang Chiu +2 more
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Efficient GPU Computation Using Task Graph Parallelism
European Conference on Parallel Processing, 2021Dian-Lun Lin, Tsung-Wei Huang
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EXTENDING OPENMP FOR TASK PARALLELISM
Parallel Processing Letters, 2003In a wide variety of scientific parallel applications, both task and data parallelism must be exploited to achieve the best possible performance on a multiprocessor machine. These applications induce task-graph parallelism with coarse-grain granularity. Nevertheless, using the available task-graph parallelism and combining it with data parallelism can
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