Name
Title | ||
|---|---|---|
Using shared-data localization to reduce the cost of inspector-execution in unified-parallel-C programs. |
Abstract | ||
|---|---|---|
•We improve performance of fine-grain UPC applications by orders of magnitude.•We introduce a novel shared-data localization transformation.•We present a thorough performance analysis and evaluation.•We show that reducing run-time calls is crucial for performance.•We achieve performance comparable to C and MPI using the UPC programming model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.parco.2016.03.002 | Parallel Computing |
Keywords | Field | DocType |
Unified Parallel C,Partitioned global address space,Compiler optimization | Address space,Locality,Programming paradigm,Unified Parallel C,Computer science,Parallel computing,Optimizing compiler,Theoretical computer science,Partitioned global address space,Overhead (business) | Journal |
Volume | Issue | ISSN |
54 | C | 0167-8191 |
Citations | PageRank | References |
0 | 0.34 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michail Alvanos | 1 | 24 | 3.62 |
| Ettore Tiotto | 2 | 28 | 5.15 |
| José Nelson Amaral | 3 | 436 | 40.18 |
| Montse Farreras | 4 | 163 | 12.94 |
| Xavier Martorell | 5 | 1470 | 125.40 |