Name
Abstract | ||
|---|---|---|
Increasing failures from transient faults necessitates the cost-efficient protection mechanism that will be always activated. Thus, we propose a novel prediction-based transient fault protection strategy as a low-cost software-only technique. Instead of re-executing expensive computations for validation, an output prediction is used to cheaply determine an approximate value for a sequence of computation. When actual computation and prediction agree within a predefined acceptable range, the computation is assumed fault-free, and expensive re-computation can be skipped. With our approach, a significant reduction in dynamic instruction counts is possible. Missed faults may occur, but their occurrences can be explicitly kept to a small amount with a proper acceptable range. For evaluation, we build an automatic compilation system, called RSkip, that transforms a program into a resilient executable with the prediction-based protection scheme. Prior instruction replication work shows 2.33x execution time compared to the unreliable execution over nine compute-intensive benchmarks. With a control for the loss in protection rate, RSkip can reduce the protection overhead to 1.27x by skipping redundant computation in our target loops at a rate of 81.10
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3368826.3377920 | CGO |
Keywords | Field | DocType |
Reliability, Approximation computing, Redundancy | Computer science,Cost prediction,Real-time computing,Reliability engineering | Conference |
ISSN | ISBN | Citations |
2164-2397 | 978-1-4503-7047-9 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sunghyun Park | 1 | 154 | 10.83 |
| Shikai Li | 2 | 0 | 0.34 |
| Ze Zhang | 3 | 1 | 1.37 |
| Scott Mahlke | 4 | 4811 | 312.08 |