Data Partitioning with a Functional Performance Model of Heterogeneous Processors
International Journal of High Performance Computing Applications
Data partitioning for multiprocessors with memory heterogeneity and memory constraints
Scientific Programming - International Symposium of Parallel and Distributed Computing & International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogenous Networks
Defining and controlling the heterogeneity of a cluster: The Wrekavoc tool
Journal of Systems and Software
Wrekavoc: a tool for emulating heterogeneity
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Hi-index | 0.00 |
The paper presents a performance model that can be used to optimally schedule arbitrary tasks on a network of heterogeneous computers when there is an upper bound on the size of the task that can be solved by each computer. We formulate a problem of partitioning of an n-element set over p heterogeneous processors using this advanced performance model and give its efficient solution of the complexity 0(p^3 x\log _2 n).