Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices

Soft errors are an increasingly serious problem for logic circuits. To estimate the effects of soft errors on such circuits, we develop a general computational framework based on probabilistic transfer matrices (PTMs). In particular, we apply them to evaluate circuit reliability in the presence of s...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Design, Automation and Test in Europe s. 282 - 287
Hlavní autoři: Krishnaswamy, Smita, Viamontes, George F., Markov, Igor L., Hayes, John P.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Washington, DC, USA IEEE Computer Society 07.03.2005
IEEE
Edice:ACM Conferences
Témata:
ISBN:9780769522883, 0769522882
ISSN:1530-1591
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Soft errors are an increasingly serious problem for logic circuits. To estimate the effects of soft errors on such circuits, we develop a general computational framework based on probabilistic transfer matrices (PTMs). In particular, we apply them to evaluate circuit reliability in the presence of soft errors, which involves combining the PTMs of gates to form an overall circuit PTM. Information such as output probabilities, the overall probability of error, and signal observability can then be extracted from the circuit PTM. We employ algebraic decision diagrams (ADDs) to improve the efficiency of PTM operations. A particularly challenging technical problem, solved in our work, is to simultaneously extend tensor products and matrix multiplication in terms of ADDs to non-square matrices. Our PTM-based method enables accurate evaluation of reliability for moderately large circuits and can be extended by circuit partitioning. To demonstrate the power of the PTM approach, we apply it to several problems in fault-tolerant design and reliability improvement.
Bibliografie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9780769522883
0769522882
ISSN:1530-1591
DOI:10.1109/DATE.2005.47