Name
Abstract | ||
|---|---|---|
Currently, we are facing a situation where applications exhibit increasing computational demands and where a large variety of parallel processor systems are available. In this paper we focus on exploiting fine-grain parallelism for three applications with distinct characteristics: a Bioinformatics application (MrBayes), a Molecular Dynamics application (NAMD), and a database application (TPC-H). We assess, side-by-side, the performance of the three applications on general-purpose multi-core processors, the Cell Broadband Engine (Cell/BE), and Graphics Processing Units (GPU). Our results indicate that application performance depends on the characteristics of the parallel architectures and on the computational requirements of the core functions of the respective applications. For MrBayes the best overall performance is achieved on general-purpose multi-core processors, for NAMD on the Cell/BE, and for TPC-H on GPUs. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.parco.2011.08.002 | Parallel Computing |
Keywords | Field | DocType |
cell broadband engine,molecular dynamics application,respective application,fine-grain parallelism,applications exhibit,computational demand,application performance,overall performance,database application,bioinformatics application,gpu systems,general-purpose multi-core processor,multi core processors | Graphics,Computer science,CUDA,Fine grain parallelism,Parallel processing,Parallel computing,Broadband,Data parallelism,Database application,Multi-core processor | Journal |
Volume | Issue | ISSN |
38 | 8 | 0167-8191 |
Citations | PageRank | References |
15 | 0.63 | 35 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frederico Pratas | 1 | 119 | 15.69 |
| Pedro Trancoso | 2 | 377 | 43.79 |
| Leonel Sousa | 3 | 1210 | 145.50 |
| Alexandros Stamatakis | 4 | 995 | 96.27 |
| Guochun Shi | 5 | 533 | 26.48 |
| Volodymyr Kindratenko | 6 | 308 | 22.77 |