Name
Abstract | ||
|---|---|---|
We find GPUs to be an order of magnitude ahead in performance per watt compared to Xeon Phis. Finally, versus typical low-power devices like FPGAs, GPUs keep similar GFLOPS/w ratios in 2017 on a five times faster execution. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2389-6 | BMC Bioinformatics |
Keywords | Field | DocType |
CUDA,DNA sequences alignment,GPGPU,HPC,Power efficiency | Pairwise comparison,Biology,FLOPS,CUDA,Parallel computing,Acceleration,General-purpose computing on graphics processing units,Xeon,Performance per watt,Genetics,Scalability | Journal |
Volume | Issue | ISSN |
19-S | 14 | 1471-2105 |
Citations | PageRank | References |
1 | 0.37 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesús Pérez Serrano | 1 | 2 | 0.73 |
| weigang | 2 | 22 | 2.61 |
| Alba Cristina Magalhaes Alves De Melo | 3 | 253 | 33.90 |
| Manuel UjaldóN | 4 | 139 | 10.25 |