Robust Computing Systems: From Today to the N3XT 1,000X is coming at 05/06/2019 - 4:00pm
LINC 200 Mon, 05/06/2019 - 4:00pm Subhasish Mitra Professor of Electrical Engineering and of Computer Science , Stanford University Abstract: Future computing systems require research breakthroughs in the following areas: * Robustness: Existing validation and test methods barely cope with today’s complexity. Reliability failures, largely benign in the past, are becoming visible at the system level. Security is a major concern at both hardware and software levels. * Performance: Energy benefits of silicon have plateaued (power wall). Coming generations of abundant-data applications (e.g., machine learning) are dominated by off-chip memory accesses (memory wall). * New applications: Neuro- and bio-sciences create tremendous opportunities for new computing systems, from implants to understanding brain functions. This talk presents an overview of my group’s research in the above areas, and particularly emphasizes complexity and performance: * QED and Symbolic QED dramatically improve pre-silicon verification and post-silicon validation. Difficult bugs can now be detected and localized automatically, in a few minutes to a few hours. In contrast, existing approaches might take weeks (or months) of intense manual work with limited success. Industrial case studies show 8x-60x improved verification productivity using QED techniques. * N3XT leverages emerging nanotechnologies to create new architectures that overcome the memory wall and the power wall. N3XT targets 1,000x energy efficiency improvements for future computing systems. N3XT hardware prototypes represent leading examples of transforming scientifically-interesting nanomaterials and nanodevices into actual nanosystems. Bio: Read more: http://eecs.oregonstate.edu/colloquium/robust-computing-systems-today-n3... [1] [1] http://eecs.oregonstate.edu/colloquium/robust-computing-systems-today-n3xt-1000x
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