Name
Title | ||
|---|---|---|
Enabling Computational Storage Through FPGA Neural Network Accelerator for Enterprise SSD. |
Abstract | ||
|---|---|---|
Computational storage is an emerging concept in big data scenario where the demand to process ever-growing storage workloads is outpacing traditional compute server architectures. To enable this paradigm there is a call for developing accelerators that off-load some of the management routines that are usually demanded to the smartness inside the storage. For enterprise solid-state drives (SSD) thi... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCSII.2019.2929288 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | Field | DocType |
Flash memories,Neurons,Field programmable gate arrays,Biological neural networks,Computer architecture | Low energy,Field-programmable gate array,Electronic engineering,Exploit,Gate array,Latency (engineering),Interconnection,Artificial neural network,Computer hardware,Big data,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 10 | 1549-7747 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian Zambelli | 1 | 36 | 9.05 |
| Riccardo Bertaggia | 2 | 0 | 0.34 |
| Lorenzo Zuolo | 3 | 8 | 2.35 |
| Rino Micheloni | 4 | 69 | 12.85 |
| P. Olivo | 5 | 342 | 58.07 |