Title
Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing.
Abstract
Energy and power consumption are major limitations to continued scaling of computing systems. Inexactness, where the quality of the solution can be traded for energy savings, has been proposed as an approach to overcoming those limitations. In the past, however, inexactness necessitated the need for highly customized or specialized hardware. The current evolution of commercial off-the-shelf(COTS) processors facilitates the use of lower-precision arithmetic in ways that reduce energy consumption. We study these new opportunities in this paper, using the example of an inexact Newton algorithm for solving nonlinear equations. Moreover, we have begun developing a set of techniques we call reinvestment that, paradoxically, use reduced precision to improve the quality of the computed result: They do so by reinvesting the energy saved by reduced precision.
Year
Venue
Field
2016
arXiv: Other Computer Science
Nonlinear system,Industrial engineering,Supercomputer,Computer science,Theoretical computer science,Electrical engineering,Energy consumption,Leapfrogging,Computing systems,Power consumption,Moore's law
DocType
Volume
Citations 
Journal
abs/1610.02606
2
PageRank 
References 
Authors
0.38
5
7
Name
Order
Citations
PageRank
Sven Leyffer11437121.55
Stefan M. Wild248131.93
Mike Fagan3303.28
M. Snir43984520.82
Krishna Palem5114799.85
Kazutomo Yoshii624918.53
Hal Finkel711418.43