Performance and Irregular Behavior of Adaptive Task Partitioning

Authors:
Elise de Doncker;Rodger Zanny;Karlis Kaugars;Laurentiu Cucos
Affiliations:
-;-;-;-
Venue:
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Year:
2001

Citing 2
Cited 1

Scalable load balancing techniques for parallel computers

Journal of Parallel and Distributed Computing
Multivariate integration on hypercubic and mesh networks

Parallel Computing

Irregularity handling via structured parallel programming

International Journal of Computational Science and Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

We study the effect of irregular function behavior and dynamic task partitioning on the parallel performance of the adaptive multivariate integration algorithm currently incorporated in PARINT. In view of the implicit hot spots in the computations, load balancing is essential to maintain parallel efficiency. A convergence model is given for a class of singular functions. Results are included for the computation of the cross section of a particle interaction. The adaptive meshes produced by PARINT for these problems are represented using the PARVIS visualization tool.