NDLI: A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units

Content Provider	IEEE Xplore Digital Library
Author	Braun, C. Halder, S. Wunderlich, H.J.
Copyright Year	2014
Description	Author affiliation: Inst. of Comput. Archit. & Comput. Eng., Univ. of Stuttgart, Stuttgart, Germany (Braun, C.; Halder, S.; Wunderlich, H.J.)
Abstract	Graphics processing units (GPUs) enable large-scale scientific applications and simulations on the desktop. To allow scientific computing on GPUs with high performance and reliability requirements, the application of software-based fault tolerance is attractive. Algorithm-Based Fault Tolerance (ABFT) protects important scientific operations like matrix multiplications. However, the application to floating-point operations necessitates the runtime classification of errors into inevitable rounding errors, allowed compute errors in the magnitude of such rounding errors, and into critical errors that are larger than those and not tolerable. Hence, an ABFT scheme needs suitable rounding error bounds to detect errors reliably. The determination of such error bounds is a highly challenging task, especially since it has to be integrated tightly into the algorithm and executed autonomously with low performance overhead. In this work, A-ABFT for matrix multiplications on GPUs is introduced, which is a new, parallel ABFT scheme that determines rounding error bounds autonomously at runtime with low performance overhead and high error coverage.
Starting Page	443
Ending Page	454
File Size	680038
Page Count	12
File Format	PDF
ISBN	9781479922338
DOI	10.1109/DSN.2014.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Reactive power Graphics processing units Probabilistic logic Fault tolerance Fault tolerant systems Upper bound Matrix Multiplication Algorithm-Based Fault Tolerance ABFT Rounding Error Estimation GPU
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Works. A-abft: autonomous algorithm-based fault tolerance for matrix multiplications on graphics processing units.

Fault tolerant matrix-matrix multiplication: correcting soft errors on-line

Algorithm Based Fault Tolerant and Check Pointing for High Performance Computing Systems

Performance evaluation of checksum-based ABFT

A GPGPU-Based Acceleration of Fault-Tolerant MLP Learnings

Increasing the robustness of CUDA Fermi GPU-based systems

Probabilistic Schedulability Analysis for Fault Tolerant Tasks under Stochastic Error Occurrences

Matrix Multiplication on GPUs with On-Line Fault Tolerance

More robust tests in algorithm-based fault-tolerant matrix multiplication

A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units

Similar Documents

Works. A-abft: autonomous algorithm-based fault tolerance for matrix multiplications on graphics processing units.

Fault tolerant matrix-matrix multiplication: correcting soft errors on-line

Algorithm Based Fault Tolerant and Check Pointing for High Performance Computing Systems

Performance evaluation of checksum-based ABFT

A GPGPU-Based Acceleration of Fault-Tolerant MLP Learnings

Increasing the robustness of CUDA Fermi GPU-based systems

Probabilistic Schedulability Analysis for Fault Tolerant Tasks under Stochastic Error Occurrences

Matrix Multiplication on GPUs with On-Line Fault Tolerance

More robust tests in algorithm-based fault-tolerant matrix multiplication

A-ABFT: Autonomous Algorithm-Based Fault Tolerance for Matrix Multiplications on Graphics Processing Units