Name
Abstract | ||
|---|---|---|
The increasing availability of commodity multicore processors is making parallel computing available to the masses. Traditional par- allel languages are largely intended for large-scale scientific com- puting and tend not to be well-suited to programming the applica- tions one typically finds on a desktop system. Thus we need new parallel-language designs that address a broader spectrum of appli- cations. In this paper, we present Manticore, a language for building parallel applications on commodity multicore hardware including a diverse collection of parallel constructs for different granularities of work. We focus on the implicitly-threaded parallel constructs in our high-level functional language. We concentrate on those elements that distinguish our design from related ones, namely, a novel paral- lel binding form, a nondeterministic parallel case form, and excep- tions in the presence of data parallelism. These features differenti- ate the present work from related work on functional data parallel language designs, which has focused largely on parallel problems with regular structure and the compiler transformations — most notably, flattening — that make such designs feasible. We describe our implementation strategies and present some detailed examples utilizing various mechanisms of our language. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1411204.1411224 | International Conference on Functional Programming |
Keywords | Field | DocType |
nondeterministic parallel case form,novel parallel binding form,parallel problem,parallel application,parallel computing,traditional parallel language,implicitly-threaded parallelism,implicitly-threaded parallel construct,data parallelism,parallel language design,par- allel binding,exceptions,parallel construct,high-level functional language,parallel case,parallel computer,multicore processors,functional language,scientific computing,spectrum | Parallel language,Programming language,Implicit parallelism,Computer science,Task parallelism,Parallel algorithm,Parallel computing,Theoretical computer science,Compiler,Data parallelism,High-level programming language,Multi-core processor | Journal |
Volume | Issue | ISSN |
43 | 9 | 0362-1340 |
Citations | PageRank | References |
26 | 0.95 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew Fluet | 1 | 296 | 20.32 |
| Mike Rainey | 2 | 183 | 10.69 |
| John H. Reppy | 3 | 899 | 84.36 |
| Adam Shaw | 4 | 93 | 4.77 |