Impact of Future Technologies (a.k.a Effect of the End of Moore's Law)

Moderator: Trevor Mudge (University of Michigan)

Panelists: Fred Chong (University of Chicago), Igor Markov (University of Michigan)

 

Moderator’s Introduction

TBA

 

Fred Chong’s position statement

Emerging technologies will play a key role in addressing the gap between the needs of Big Data and Moore's Law improvements to CMOS. At one extreme, Quantum Computation offers both the largest gains and the most risk.  Quantum devices, however, also offer promising improvements in classical computations.  In general, systems and architectures will need to adapt to the unique properties of new devices.  Moreover, a paradigm shift will be needed at the user and compiler level, with some explicit tolerance to variation and errors at the device level.

 

Igor Markov’s position statement

The death march of Moore's law motivates us to discuss obstacles to computing and ways to circumvent them. As a result, we are looking at a variety of emerging technologies and some exotic possibilities, such as quantum computing, 3D circuits, carbon nanotubes, etc. Revolutionary new opportunities are often offset by grave limitations. The promise of asymptotic runtime improvements may run against heavy implementation constants and very narrow markets. Yet, more modest steps may offer a viable path to higher-performance computing. New breakthroughs will require concerted improvements in switching elements, memories, interconnect, full-chip optimization, architecture platforms, compilers and runtime support. One thing is clear - the free ride on the back of Moore's law is over, and researchers must now distinguish worthwhile directions from dead ends.

 

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