Name
Abstract | ||
|---|---|---|
One approach to distributed parallel programming is to utilize self-migrating threads. Computations can be dis- tributed first, and parallelized second. The first step pro- duces a distributed sequential thread, which can be incre- mentally parallelized by the second step. This paper pre- scribes three transformations that turn distributed sequen- tial programs into distributed parallel programs. Real-life examples and performance data are presented, and the ad- vantages of our approach are discussed. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICPPW.2003.1240378 | ICPP Workshops |
Keywords | Field | DocType |
Jacobian matrices,iterative methods,multi-threading,sequential machines,distributed sequential computing,parallel Cholesky factorization,parallel Jacobi iteration,parallel computing,parallel programming,performance data,program transformation,sequential thread | Multithreading,Iterative method,Massively parallel,Computer science,Parallel computing,Embarrassingly parallel,Thread (computing),Distributed algorithm,Parallel programming model,Cost efficiency,Distributed computing | Conference |
ISSN | ISBN | Citations |
1530-2016 | 0-7695-2018-9 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pan, L. | 1 | 0 | 0.34 |
| Lubomir F. Bic | 2 | 147 | 19.23 |
| Michael B. Dillencourt | 3 | 23 | 2.67 |
| Ming Kin Lai | 4 | 20 | 3.71 |