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Power Struggles: Designing Processors In the Energy-Constrained Future

Event Date: April 8, 2015
Speaker: Emily Blem
Speaker Affiliation: Google
Time: 10:30am
Location: MSEE 239
Contact Name: T.N. Vijaykumar
Contact Phone: 765-49-40592
Contact Email: vijay@purdue.edu

Abstract
A new understanding of physical limits is precipitating accelerated exploration of new architectural approaches. These are all disruptive changes spanning multiple system layers, and therefore necessitate fundamental changes in how we do computer architecture research. While previously architects could focus on improvements that were transparent to the programmer, the system software, and even the compiler, these more disruptive ideas require changes at every level.

In this talk, I will show how I have used analytic modeling as an approach to effectively find answers to complex computer architecture questions. First, I will discuss my work that is aimed at understanding the roots of the architectural shift. Using analytic models, I quantified the impact of technology scaling on performance and showed that these new architectural approaches were necessary. Second, I will explain how one proposed architectural approach, the machine's language--the ISA--can (or cannot!) contribute to improved performance and energy-efficiency. I will show how I distilled over 20,000 data points collected on real hardware into meaningful insights about the ISA's role. I will conclude with a discussion of how I plan to use models to effectively discover solutions to computer architecture design problems in the future.

Biography
Emily Blem is a software engineer at Google. She completed her Ph.D. in the department of Computer Sciences at the University of Wisconsin - Madison in 2013. Her research interests include the use of analytic modeling and detailed analysis in computer architecture to understand current architectures, discover solutions to emerging issues, and develop new architectures. She was the recipient of the Cisco Systems Distinguished Graduate Fellowship award in 2012. She is an author of an IEEE MICRO Top Picks paper and a CACM research highlights paper.