Probabilistic Accuracy Bounds @ Papers We Love SFAysylu Greenberg
Aysylu Greenberg presents the Probabilistic Accuracy Bounds for Fault-Tolerant Computations that Discard Tasks paper (http://people.csail.mit.edu/rinard/paper/ics06.pdf )
Aysylu tells us "As our systems get more complex and expensive to operate, tradeoffs between accuracy and performance gains become more relevant. The paper demonstrates a new approach to analyzing programs where we can train statistical models to bound the error as tasks fail. This allows us to be more resilient in the face of system failures in many applications that can tolerate "good enough" results. This area of research is particularly dear to my heart as I was first exposed to it while taking a compiler engineering course at MIT which the author, Prof. Martin Rinard, taught. The probabilistic high-performance computing captured my interest because it challenges the widely accepted expectation that for-loops are deterministic."
Lisa Young, Faculty Director, Teaching and Learning Center
Sian Proctor, Geology & Sustainability, Faculty
Paul Golisch, Dean & CIO, Adjunct Math Faculty
Probabilistic Accuracy Bounds @ Papers We Love SFAysylu Greenberg
Aysylu Greenberg presents the Probabilistic Accuracy Bounds for Fault-Tolerant Computations that Discard Tasks paper (http://people.csail.mit.edu/rinard/paper/ics06.pdf )
Aysylu tells us "As our systems get more complex and expensive to operate, tradeoffs between accuracy and performance gains become more relevant. The paper demonstrates a new approach to analyzing programs where we can train statistical models to bound the error as tasks fail. This allows us to be more resilient in the face of system failures in many applications that can tolerate "good enough" results. This area of research is particularly dear to my heart as I was first exposed to it while taking a compiler engineering course at MIT which the author, Prof. Martin Rinard, taught. The probabilistic high-performance computing captured my interest because it challenges the widely accepted expectation that for-loops are deterministic."
Lisa Young, Faculty Director, Teaching and Learning Center
Sian Proctor, Geology & Sustainability, Faculty
Paul Golisch, Dean & CIO, Adjunct Math Faculty
