Abstract | ||
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Existing post-silicon validation techniques are generally ad hoc, and their cost and complexity are rising faster than design cost. Hence, systematic approaches to post-silicon validation are essential. Our research indicates that many of the bottlenecks of existing post-silicon validation approaches are direct consequences of very long error detection latencies. Error detection latency is the time elapsed between the activation of a bug during post-silicon validation and its detection or manifestation as a system failure. In our earlier papers, we created the Quick Error Detection (QED) technique to overcome this significant challenge. QED systematically creates a wide variety of post-silicon validation tests to detect bugs in processor cores and uncore components of multi-core System-on-Chips (SoCs) very quickly, i.e., with very short error detection latencies. In this paper, we present an overview of QED and summarize key results: 1. Error detection latencies of "typical" post-silicon validation tests can range up to billions of clock cycles. 2. QED shortens error detection latencies by up to 6 orders of magnitude. 3. QED enables 2- to 4-fold improvement in bug coverage. QED does not require any hardware modification. Hence, it is readily applicable to existing designs. |
Year | DOI | Venue |
---|---|---|
2013 | 10.7873/DATE.2013.077 | DATE |
Keywords | Field | DocType |
debug,silicon,hardware,computer bugs,benchmark testing,post silicon validation,testing,multicore processing,system on chip,verification | Post-silicon validation,Computer science,Parallel computing,Uncore,Real-time computing,Error detection and correction,Multi-core processor,Debugging,Embedded system,Error detection latency | Conference |
ISSN | Citations | PageRank |
1530-1591 | 3 | 0.38 |
References | Authors | |
41 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
David Lin | 1 | 243 | 14.80 |
Ted Hong | 2 | 209 | 8.52 |
Yanjing Li | 3 | 391 | 20.34 |
Farzan Fallah | 4 | 557 | 43.73 |
Donald S. Gardner | 5 | 245 | 36.33 |
Nagib Hakim | 6 | 25 | 1.90 |
Subhasish Mitra | 7 | 3657 | 228.90 |