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NEPP Processor Enclave: Testing Artificial Intelligence & Machine LearningComputational device families are converging and multiple EEE components are required for a complete HPC subsystem. The components of this “processor enclave” are sensitive to radiation effects and therefore must be characterized for mission assurance. NEPP’s standardized approach to testing the Processor Enclave includes math, graphics, and AI and Machine Learning test vectors and device hardware capable of these applications.
Document ID
20205003132
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Edward J Wyrwas
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
June 3, 2020
Publication Date
June 15, 2020
Publication Information
Subject Category
Quality Assurance And Reliability
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: NEPP Electronics Technology Workshop (ETW)
Location: Greenbelt, MD
Country: US
Start Date: June 15, 2020
End Date: June 18, 2020
Sponsors: Goddard Space Flight Center
Funding Number(s)
CONTRACT_GRANT: 80GSFC18C0120
WBS: 724297.40.49.04.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Radiation testing
graphics processing unit (GPU)
Microprocessor
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