Name
Abstract | ||
|---|---|---|
Accelerators are becoming popular owing to their exceptional performance and power-efficiency. However, researchers are yet to pay close attention to their reliability-a key challenge as technology scaling makes building reliable systems challenging. A straightforward solution to make accelerators reliable is to design the accelerator from the ground-up to be reliable by itself. However, such a my... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCA.2019.2917898 | IEEE Computer Architecture Letters |
Keywords | Field | DocType |
Resilience,Task analysis,Reliability,Graphics processing units,Kernel,Memory management,Runtime | Psychological resilience,Kernel (linear algebra),Architecture,Central processing unit,Technology scaling,Task analysis,Computer science,Parallel computing,Memory management,Reliability design,Distributed computing | Journal |
Volume | Issue | ISSN |
18 | 1 | 1556-6056 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingwen Leng | 1 | 327 | 11.55 |
| Alper Buyuktosunoglu | 2 | 1675 | 115.30 |
| Ramon Bertran | 3 | 231 | 17.28 |
| Pradip Bose | 4 | 2790 | 210.58 |
| Vijay Janapa Reddi | 5 | 2931 | 140.26 |