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Activity Number: 33
Type: Contributed
Date/Time: Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #308340
Title: Collaborative Hardware Design for Real-Time Processing
Author(s): Sarah Michalak*+ and Andrew DuBois and David DuBois and Christine Anderson-Cook and Stephen Poole
Companies: Los Alamos National Labs and Los Alamos National Laboratory and Los Alamos National Laboratory and Los Alamos National Laboratory and Oak Ridge National Laboratory
Keywords: fault injection ; real-time processing ; soft error

Designing hardware for real-time processing presents a challenging constraint space. A fault injector for I/O (FIFI) was developed to enable real-time fault injection into I/O packets so that the effects of such faults could be carefully investigated. As such, FIFI's design and capabilities had to meet certain requirements deriving from the need to use it in statistically designed experiments. Statisticians worked jointly with the hardware engineers who designed FIFI to ensure that these requirements were met.

This talk presents some of these requirements and details how they were addressed in FIFI's design given the hard constraint of essentially real-time fault injection. The trade-off space between implementing features in hardware versus software is discussed.

Authors who are presenting talks have a * after their name.

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