Name
Abstract | ||
|---|---|---|
Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MCSE.2011.119 | Computing in Science and Engineering |
Keywords | Field | DocType |
graphics processing units,GPU computing,computer system,neuroscience,Computational neuroscience,GPUs,parallel and vector implementations,scientific computing | Computational neuroscience,Numerical models,Visualization,Computer science,Theoretical computer science,Computational science,General-purpose computing on graphics processing units,Speedup | Journal |
Volume | Issue | ISSN |
14 | 3 | 1521-9615 |
Citations | PageRank | References |
14 | 0.75 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Baladron Pezoa | 1 | 14 | 0.75 |
| Diego Fasoli | 2 | 18 | 1.83 |
| Olivier D. Faugeras | 3 | 9364 | 2568.69 |