Overcoming post-silicon validation challenges through quick error detection (QED)

  • Authors:
  • David Lin;Ted Hong;Yanjing Li;Farzan Fallah;Donald S. Gardner;Nagib Hakim;Subhasish Mitra

  • Affiliations:
  • Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Intel Corporation, Santa Clara, CA;Intel Corporation, Santa Clara, CA;Stanford University, Stanford, CA

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2013

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Abstract

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.