Name
Abstract | ||
|---|---|---|
Over three decades of parallel computing, new computational requirements and systems have steadily evolved, yet parallel software remains notably more difficult relative to its sequential counterpart, especially for fine-grained parallel applications. We discuss the role of education to address challenges posed by applications such as informatics, scientific modeling, enterprise processing, and numerical computation. We outline new curricula both in computational science and in computer science. There appear to be new directions in which graduate education in parallel computing could be directed toward fulfilling needs in science and industry. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428848_6 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
enterprise processing,parallel software,fine-grained parallel application,new curriculum,computational science,graduate education,research challenge,parallel computing,computer science,new computational requirement,new direction,molecular dynamics,parallel computer | Informatics,Computer science,Parallel algorithm,Parallel computing,Scientific modelling,Message Passing Interface,Curriculum,Business model,Graduate education,Computation | Conference |
Volume | ISSN | ISBN |
3515 | 0302-9743 | 3-540-26043-9 |
Citations | PageRank | References |
3 | 0.50 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Ridgway Scott | 1 | 15 | 3.63 |
| Terry Clark | 2 | 3 | 0.50 |
| Babak Bagheri | 3 | 5 | 1.22 |