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#OMER KHAN LINKEDIN CHICAGO CODE#
The idea is built on the insight that code vulnerability is not always correlated to program output and hence compromising coverage in a traditional manner can affect program correctness. This research developed HAWKEYE architecture that introduces a new tradeoff to achieve efficient resiliency in parallel microprocessor systems, where error coverage is guaranteed at the cost of affecting program accuracy. Their policies may differ from this site. Some links on this page may take you to non-federal websites.
#OMER KHAN LINKEDIN CHICAGO FULL#
Some full text articles may not yet be available without a charge during the embargo (administrative interval). When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH This is a crucial step forward given the increased awareness of system reliability in many application domains, such as healthcare, defense, finance, transportation, and automotive.
#OMER KHAN LINKEDIN CHICAGO SOFTWARE#
The project promises transparent resiliency guarantees and this will have a major societal impact: enterprises and mission agencies will be able to reason in a quantifiable way about the resiliency versus efficiency tradeoffs in their software and hardware infrastructure. The proposed research provides for significant broader impacts related to curriculum development and student training through integration of modules in existing computer architecture and system design courses, and outreach through established REU sites and enrichment programs. If successful, this project will be a major step towards a new rigorous framework to reason and guarantee system resiliency alongside a program's performance, power, and accuracy of computation. For the non-crucial code, lightweight resiliency schemes ensure program correctness. The hardware subsequently implements stronger resiliency methods (e.g., redundant execution) only for crucial code. At the software level, the project is developing methods to classify crucial versus non-crucial code regions in a program: the crucial code affects program correctness and outcome, its functionality cannot be altered in any way non-crucial code affects program accuracy, therefore it could tolerate errors. The strategy focuses on data analytic applications since they naturally offer tradeoffs in program accuracy due to the unstructured nature of inputs, and the approximate algorithms used to solve these otherwise intractable problems. This project proposes a new method to achieve efficient resiliency, where hardware's coverage is bounded with certain guarantees, while computational efficiency is traded off at the cost of affecting program accuracy. These trends motivate the need for system resiliency without increasing power consumption.
Further, with increasingly strict power constraints, hardware designs are now reliant on dynamic voltage scaling between nominal and near-threshold regions, which exacerbates the reliability problem. With semiconductor technology scaling to sub-nanometer scales, minute perturbations in lithography patterns and manufacturing processes make the computing hardware vulnerable to unpredictable deviations in functionality. Primary Place of Performance Congressional District:Ġ1001516DB NSF RESEARCH & RELATED ACTIVIT
Omer Khan (Principal Investigator) Henry Hoffmann (Co-Principal Investigator).EAGER: HAWKEYE: A Cross-Layer Resilient Architecture to Tradeoff Program Accuracy and Resilience Overheads NSF Org:ĬCF Division of Computing and Communication FoundationsĪlmadena Chtchelkanova (703)292-7498 CCF Division of Computing and Communication Foundations CSE Direct For Computer & Info Scie & Enginr
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