Project Details
Project Description
The proposed research project on parallel computing consists of two parts, an application oriented part and fundamental research on the Course-Grained Multicomputer (CGM) paradigm. Part 1: We propose o study new CGM methods for porblems in Bioinformatics and data warehousing/OLAP. Teh aim is to enable new research in these fields by increasing the size of solvable problems. Part 2: (a) In previous work, we solved an ACM Grand Challenge to effieciently combineBSP/CGM and the parallel disk I/O. We propose to extend this result into course grained parallel virtual memory model. (b) Cache performance is a serious problem for parallel computing. we prpose to developa a general methodologyf for cashe firoendly CGM algorithms
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/05 → 31/12/07 |
Funding
- Australian Research Council (ARC)