Name
Abstract | ||
|---|---|---|
We present a refined approach to parallel array fusion that uses indexed types to specify the internal representation of each array. Our approach aids the client programmer in reasoning about the performance of their program in terms of the source code. It also makes the intermediate code easier to transform at compile-time, resulting in faster compilation and more reliable runtimes. We demonstrate how our new approach improves both the clarity and performance of several end-user written programs, including a fluid flow solver and an interpolator for volumetric data. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2364506.2364511 | Haskell |
Keywords | Field | DocType |
internal representation,client programmer,reliable runtimes,intermediate code,fluid flow solver,array fusion,source code,parallel array fusion,faster compilation,new approach,refined approach,fluid flow,indexation,data parallelism | Programmer,CLARITY,Programming language,Computer science,Source code,Parallel computing,Fusion,Theoretical computer science,Data parallelism,Haskell,Solver,Parallel array | Conference |
Volume | Issue | ISSN |
47 | 12 | 0362-1340 |
Citations | PageRank | References |
17 | 0.71 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben Lippmeier | 1 | 135 | 7.99 |
| Manuel Chakravarty | 2 | 17 | 1.04 |
| Gabriele Keller | 3 | 657 | 36.02 |
| Simon L. Peyton Jones | 4 | 5036 | 381.19 |