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Conference Papers Year : 2014

Development Effort and Performance Trade-off in High-Level Parallel Programming

Abstract

Research on high-level parallel programming approaches systematically evaluate the performance of applications written using these approaches and informally argue that high-level parallel programming languages or libraries increase the productivity of programmers. In this paper we present a methodology that allows to evaluate the trade-off between programming effort and performance of applications developed using different programming models. We apply this methodology on some implementations of a function solving the all nearest smaller values problem. The high-level implementation is based on a new version of the BSP homomorphism algorithmic skeleton.
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Dates and versions

hal-01016180 , version 1 (28-06-2014)

Identifiers

  • HAL Id : hal-01016180 , version 1

Cite

Joeffrey Legaux, Sylvain Jubertie, Frédéric Loulergue. Development Effort and Performance Trade-off in High-Level Parallel Programming. International Conference on High Performance Computing and Simulation (HPCS), 2014, Bologna, Italy. ⟨hal-01016180⟩
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