Name
Abstract | ||
|---|---|---|
We introduce an enhanced version of FaST-LMM that maintains the sensitivity of this software when applied to identify epistasis interactions while delivering an acceleration factor that is close to 7.5(times ) on a server equipped with a state-of-the-art graphics coprocessor. This performance boost is obtained from the combined effects of integrating a dictionary for faster storage of the test results; a re-organization of the original FaST-LMM Python code; and off-loading of compute-intensive parts to the graphics accelerator. |
Year | Venue | Field |
|---|---|---|
2017 | ICA3PP | Graphics,Supercomputer,Computer science,Parallel computing,Graphics accelerator,Software,Acceleration,Coprocessor,Python (programming language) |
DocType | Citations | PageRank |
Conference | 1 | 0.38 |
References | Authors | |
4 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Héctor Martínez | 1 | 19 | 4.26 |
| Sergio Barrachina | 2 | 319 | 38.08 |
| Maribel Castillo | 3 | 176 | 29.03 |
| Enrique S. Quintana-Ortí | 4 | 21 | 12.58 |
| Jordi Rambla De Argila | 5 | 1 | 0.38 |
| Xavier Farré | 6 | 1 | 0.38 |
| Arcadi Navarro | 7 | 7 | 4.95 |