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Soft Error Modeling And Analysis For Microprocessors

Equal Opportunity Housing College Classifieds Housing Roommates Sublets For Sale Textbooks Jobs Internships Professor Ratings Scholarships Tutors Study Abroad Student Loans Test Prep College News Sports Campus Life Entertainment Fashion Company We apply SoftArch to an out-of-order processor running SPEC2000 benchmarks. ComparePrice&Saveupto90%SearchbymultipleISBN,singleISBN,title,author,etc...Login|SignUp|Settings|WishListSearching the web for the best textbook pricesJust be a few seconds ... 0%ISBN 978-1243515056Actions:Add to BookbagSell This BookAdd to Wish ListSet Price AlertShip To:CanadaUnited StatesUnited KingdomAfghanistanAland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Please try the request again. http://phabletkeyboards.com/soft-error/soft-error-rate-analysis-for-sequential-circuits.php

Our method applies to both logic and storage structures on the processor and does not require complex offline calibration for different workloads. Our method applies to both logic and storage structures on the processor and does not require complex offline calibration for different workloads. Department Electrical and Computer Engineering Description text Subject(s) Soft errors Modeling Analytical modeling Mechanistic modeling AVF Architectural vulnerability factor ACE analysis Citable URI http://hdl.handle.net/2152/ETD-UT-2012-05-5018 Collections UT Electronic Theses and Dissertations Show In this dissertation, we propose a novel way of estimating AVF online, using simple modifications to the processor. https://www.ideals.illinois.edu/handle/2142/11440

Your cache administrator is webmaster. Toggle navigation   IDEALS Login Search IDEALSThis Collection query Advanced Search Soft Error Modeling and Analysis for Microprocessors Welcome to the IDEALS Repository JavaScript is disabled for your browser. In order to do that, one would need reasonably accurate estimate of the amount of masking effect in real time. AVF modeling is used to identify structures in the processor that have the highest contribution to the overall Soft Error Rate (SER) while running typical workloads, and used to guide the

Our method applies to both logic and storage structures on the processor and does not require complex offline calibration for different workloads. of Computer Science → Research and Tech Reports - Computer Science → View Item Soft Error Modeling and Analysis for Microprocessors Li, Xiaodong Use this link to cite this item: http://hdl.handle.net/2142/11440 Both steps make significant assumptions. As it is impossible for every bit in the processor to simultaneously contain corruptible state, the worst-case realizable SER while running a workload is less than the sum of their circuit-level

Our results motivate selective and dynamic architecture level soft error protection schemes. To find an alternative model that is not subject to such limitations, we propose a model and tool called SoftArch that does not make the above AVF+SOFR assumptions. It provides new techniques to examine and take advantage of architecture level soft error behavior. Your new password has been sent to your email!

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We test our method with a widely used simulator from industry for SPEC benchmarks. http://southtexascollege.uloop.com/textbooks/view.php/1243515058/Soft-Error-Modeling-and-Analysis-for-Microprocessors For most current systems, AVF is an accurate abstraction of the architecture level masking effect. We explore scenarios in which such discrepancies could occur in practice. Next, the method calculates the system failure rate as the sum of the failure rates (SOFR) of all components, and the system MTTF as the reciprocal of this failure rate.

Date Available in IDEALS:2009-04-22  This item appears in the following Collection(s) Research and Tech Reports - Computer Science Item Statistics Statistics Report Contact Us | Send Feedback | University Library http://phabletkeyboards.com/soft-error/soft-error-ecc.php Consequently, there is no known methodology for ensuring that the workload suite used for AVF modeling offers sufficient SER coverage. Post your own housing listing on Uloop and have students reach out to you! Efficient modeling of soft error vulnerability in microprocessors View/Open NAIR-DISSERTATION.pdf (5.436Mb) Author Nair, Arun Arvind Share Facebook Twitter LinkedIn Metadata Show full item record Abstract Reliability has emerged as a

We also propose an efficient online AVF estimation algorithm. My dissertation focuses on the modeling and analysis of soft error issues at the architecture level. Existing solutions for estimating AVF are often based on offline simulators and usually hard to implement in real processors. this content We find that although the AVF+SOFR method is valid for most current systems under current raw error rates, for some cases it can lead to significant discrepancies.

By using the SoftArch tool, we observe that there is much architecture level masking and that the degree of such masking can vary significantly across workloads, individual units, and workload phases. SoftArch is based on a probabilistic model of error generation and propagation process in a processor. The system returned: (22) Invalid argument The remote host or network may be down.

In order to do that, one would need reasonably accurate estimate of the amount of masking effect in real time.

Next, as another application, we quantify the impact of technology scaling on the processor soft error rate, taking the architecture level masking and workload characteristics into consideration. In this dissertation, we propose a novel way of estimating AVF online, using simple modifications to the processor. To sum up, this dissertation studies the architecture level soft error modeling and analysis problems. Some features of this site may not work without it.

The Mean Absolute Error in determining AVF of a 4-wide out-of-order superscalar processor using model is less than 7% for each structure, and the Normalized Mean Square Error for determining overall Image not available. Preview this book » What people are saying-Write a reviewWe haven't found any reviews in the usual places.Selected pagesTitle PageTable of ContentsContentsIntroduction 1 SoftArch model 26 Online estimation of the AVF have a peek at these guys Thus, it is natural to consider the architecture level solutions to take advantage of such variations.

Additionally, owing to the lack of an intuitive model, AVF modeling is reliant on detailed microarchitectural simulations for understanding the impact of scaling processor structures, or design space exploration studies. In this dissertation, we propose a novel way of estimating AVF online, using simple modifications to the processor. You just missed it! We start with the widely used method for estimating the architecture level mean time to failure (MTTF) due to soft errors.

The results show that the method provides reasonably accurate run-time AVF estimates. Email Address Please enter valid Email Address! Existing solutions for estimating AVF are often based on offline simulators and usually hard to implement in real processors. We test our method with a widely used simulator from industry for SPEC benchmarks.

For most current systems, AVF is an accurate abstraction of the architecture level masking effect. The results show that the method provides reasonably accurate run-time AVF estimates. The model is used to quantitatively explain results that may appear counter-intuitive from aggregate performance metrics. Generated Fri, 28 Oct 2016 09:16:27 GMT by s_fl369 (squid/3.5.20)

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