Name
Abstract | ||
|---|---|---|
Novel micro-architectures including the Cell Broadband Engine Architecture and graphics processing units are attractive platforms for compute-intensive simulations. This paper focuses on stencil computations arising in the context of a biomedical simulation and presents performance benchmarks on both the Cell BE and GPUs and contrasts them with a benchmark on a traditional CPU system. Due to the low arithmetic intensity of stencil computations, typically only a fraction of the peak performance of the compute hardware is reached. An algorithm is presented, which reduces the bandwidth requirements and thereby improves performance by exploiting temporal locality of the data. We report on performance improvements over CPU implementations. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IPDPS.2009.5161031 | IPDPS |
Keywords | Field | DocType |
performance improvement,cpu implementation,cell broadband engine architecture,biomedical simulation,performance benchmarks,attractive platform,modern micro-architectures,traditional cpu system,stencil computation,parallel data-locality aware stencil,bandwidth requirement,peak performance,arithmetic,graphics,probability density function,context modeling,engines,coprocessors,bandwidth,heating,parallel processing,computer architecture,central processing unit,computational modeling,concurrent computing,data mining,hardware,pipelines | Graphics,Central processing unit,Locality,Locality of reference,Computer science,Parallel computing,Stencil,Bandwidth (signal processing),Coprocessor,Concurrent computing | Conference |
ISSN | Citations | PageRank |
1530-2075 | 12 | 1.36 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Christen | 1 | 190 | 10.20 |
| Olaf Schenk | 2 | 536 | 39.02 |
| Esra Neufeld | 3 | 13 | 3.24 |
| Peter Messmer | 4 | 46 | 7.45 |
| Helmar Burkhart | 5 | 304 | 42.97 |