Name
Abstract | ||
|---|---|---|
GPU- and FPGA-based clouds have been deployed to accelerate computationally intensive workloads. ASIC-based clouds are a natural evolution as cloud services expand across the planet. ASIC Clouds are purpose-built datacenters comprising large arrays of ASIC accelerators that optimize the total cost of ownership (TCO) of large, high-volume scale-out computations. On the surface, ASIC Clouds may seem... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MM.2017.49 | IEEE Micro |
Keywords | Field | DocType |
Servers,Cloud computing,Bitcoin,Random access memory,Transcoding,Field programmable gate arrays,Machine learning,Graphics processing units | Dram,Motherboard,Computer science,Parallel computing,Total cost of ownership,Application-specific integrated circuit,Real-time computing,Planet,Cryptocurrency,Computation,Cloud computing,Embedded system | Journal |
Volume | Issue | ISSN |
37 | 3 | 0272-1732 |
Citations | PageRank | References |
3 | 0.61 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moein Khazraee | 1 | 16 | 2.45 |
| Luis Vega Gutierrez | 2 | 15 | 1.10 |
| Ikuo Magaki | 3 | 15 | 1.43 |
| Michael Bedford Taylor | 4 | 1707 | 154.51 |