AUTOMATIC TASK GRAPH GENERATION TECHNIQUES

Author:

COSNARD M.1,LOI M.1

Affiliation:

1. Laboratoire de l'Informatique du Parallélisme, Ecole Normale Supérieure de Lyon, CNRS, Lyon, 69364, France

Abstract

We present a model of parallel computation, the parameterized task graph, which is a compact, problem size independent, representation of some frequently used directed acyclic task graphs. Techniques automating the construction of such a representation, starting from an annotated sequential program are proposed. We show that many important properties of the task graph such as the computational load of the nodes and the communication volume of the edges can be automatically deduced in a problem size independent way.

Publisher

World Scientific Pub Co Pte Lt

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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1. Toward Bounds on Parallel Execution Times of Task Graphs on Multicores With Memory Constraints;IEEE Access;2019

2. An Out-of-Core Task-based Middleware for Data-Intensive Scientific Computing;Handbook on Data Centers;2015

3. Symbolic mapping and allocation for the Cholesky factorization on NUMA machines;The International Journal of High Performance Computing Applications;2013-07-01

4. Performance Analysis and Optimization of the Tiled Cholesky Factorization on NUMA Machines;2012 Fifth International Symposium on Parallel Architectures, Algorithms and Programming;2012-12

5. An Integrated Approach to Locality-Conscious Processor Allocation and Scheduling of Mixed-Parallel Applications;IEEE Transactions on Parallel and Distributed Systems;2009-08

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