Name
Abstract | ||
|---|---|---|
Field-programmable gate arrays (FPGAs) have shown to be quite beneficial in the cloud due to their energy-efficient application-specific acceleration. These accelerators have always been difficult to use and at cloud scale, the difficulty of managing these devices scales accordingly. We approach the challenge of managing large FPGA accelerator clusters in the cloud using abstraction layers and a n... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MM.2018.2877290 | IEEE Micro |
Keywords | Field | DocType |
Field programmable gate arrays,Hardware acceleration,Data centers,Virtual machine monitors,Cloud computing | Kernel (linear algebra),Cluster (physics),Abstraction,Computer science,Parallel computing,Field-programmable gate array,Computational science,Acceleration,Cloud computing | Journal |
Volume | Issue | ISSN |
38 | 6 | 0272-1732 |
Citations | PageRank | References |
2 | 0.69 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naif Tarafdar | 1 | 44 | 5.14 |
| Nariman Eskandari | 2 | 7 | 1.55 |
| Varun Sharma | 3 | 7 | 2.12 |
| Charles Lo | 4 | 7 | 2.17 |
| Paul Chow | 5 | 868 | 119.97 |