Name
Abstract | ||
|---|---|---|
Inaccuracy of computations is an important challenge with Stochastic Computing (SC). Deterministic approaches are proposed to produce completely accurate results with SC circuits. Current deterministic methods need a large number of clock cycles to produce exact result. This directly translates to a very high energy consumption. We propose a method based on the Residue Number Systems (RNS) to mitigate the high processing time of the deterministic methods. Compared to the state-of-the-art deterministic methods of SC, our approach delivers 760x and 170x improvement in terms of processing time and energy consumption. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ASAP.2019.00-33 | 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP) |
Keywords | Field | DocType |
Stochastic Computing,Deterministic Bit streams,Residue Number System | Residue (complex analysis),Computer science,Parallel computing,Multiplication,Residue number system,Bitstream,Electronic circuit,Stochastic computing,Energy consumption,Computation | Conference |
Volume | ISSN | ISBN |
2160-052X | 2160-0511 | 978-1-7281-1602-0 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Givaki Kamyar | 1 | 10 | 1.53 |
| Hojabr Reza | 2 | 13 | 1.93 |
| M. Hassan Najafi | 3 | 88 | 11.06 |
| Ahmad Khonsari | 4 | 210 | 42.43 |
| M. Hossein Gholamrezayi | 5 | 0 | 0.34 |
| Saeid Gorgin | 6 | 83 | 11.32 |
| Dara Rahmati | 7 | 58 | 6.65 |