Static load-balancing techniques for iterative computations on heterogeneous clusters

Static Load-Balancing Techniques for Iterative Computation on Heterogeneous Clusters

This paper is devoted to static load balancing techniques for mapping iterative algorithms onto heterogeneous clusters. The application data is partitioned over the processors. At each iteration, independent calculations are carried out in parallel, and some communications take place. The question is to determine how to slice the application data into chunks, and to assign these chunks to the p...

Load-Balancing Iterative Computations on Heterogeneous Clusters

Mapping and Load-Balancing Iterative Computations on Heterogeneous Clusters

ion of the Lyon platform. Hélène RENARD May 2003 Slide 23 Platform description (Strasbourg)

Load Balancing for Parallel Computations with the Finite Element Method

In this paper, we give an overview of efforts to improve current techniques of load-balancing and efficiency of finite element method (FEM) computations on large-scale parallel machines and introduce a multilevel load balancer to improve the local load imbalance. FEM is used to numerically approximate solutions of partial differential equations (PDEs) as well as integral equations. The PDEs dom...

Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms

Hybrid GPU/CPU clusters are becoming very popular in the scientific computing community, as attested by the number of such systems present in the Top 500 list. In this paper, we address one of the key algorithms for scientific applications: the computation of sparse matrix-vector products that lies at the heart of iterative solvers for sparse linear systems. We detail how design patterns for sp...