An object-oriented method for out-of-core parallel computations on cluster of workstations

Author

Tang, Jianqi ; Fang, Binxing ; Hu, Mingzeng ; Zhang, Hongli

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

507

Lastpage

510

Abstract

Many applications in different fields need to access large amounts of data. The difficulty of handling out-of-core data limits the performance of supercomputers. We first describe an out-of-core computation model on cluster of workstations. Then an object-oriented method is offered, which makes the out-of-core programs easier to write. Some optimal strategies, such as distribution of local array files, data sieving and prefetching, also make an improvement in the performance of out-of-core parallel computations.

Keywords

data handling; object-oriented methods; object-oriented programming; parallel programming; storage management; workstation clusters; data prefetching; data sieving; local array files; object-oriented method; optimisation; out-of-core data handling; out-of-core parallel computation mode; supercomputer performance; workstation cluster; Biology computing; Computational modeling; Computer science; Concurrent computing; Large-scale systems; Object oriented modeling; Parallel processing; Slabs; Supercomputers; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7803-7840-7

Type

conf

DOI

10.1109/PDCAT.2003.1236354

Filename

1236354