Literature DB >> 24842028

Inexactness and a future of computing.

Krishna V Palem1.   

Abstract

As pressures, notably from energy consumption, start impeding the growth and scale of computing systems, inevitably, designers and users are increasingly considering the prospect of trading accuracy or exactness. This paper is a perspective on the progress in embracing this somewhat unusual philosophy of innovating computing systems that are designed to be inexact or approximate, in the interests of realizing extreme efficiencies. With our own experience in designing inexact physical systems including hardware as a backdrop, we speculate on the rich potential for considering inexactness as a broad emerging theme if not an entire domain for investigation for exciting research and innovation. If this emerging trend to pursuing inexactness persists and grows, then we anticipate an increasing need to consider system co-design where application domain characteristics and technology features interplay in an active manner. A noteworthy early example of this approach is our own excursion into tailoring and hence co-designing floating point arithmetic units guided by the needs of stochastic climate models. This approach requires a unified effort between software and hardware designers that does away with the normal clean abstraction layers between the two.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  approximation algorithms; heuristics; inexact computing; information theory; probabilistic CMOS; randomized algorithms

Year:  2014        PMID: 24842028     DOI: 10.1098/rsta.2013.0281

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  6 in total

1.  Modelling: Build imprecise supercomputers.

Authors:  Tim Palmer
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

2.  The physics of numerical analysis: a climate modelling case study.

Authors:  T N Palmer
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-01-20       Impact factor: 4.226

3.  On the use of programmable hardware and reduced numerical precision in earth-system modeling.

Authors:  Peter D Düben; Francis P Russell; Xinyu Niu; Wayne Luk; T N Palmer
Journal:  J Adv Model Earth Syst       Date:  2015-09-18       Impact factor: 6.660

4.  Human Creativity and Consciousness: Unintended Consequences of the Brain's Extraordinary Energy Efficiency?

Authors:  Tim Palmer
Journal:  Entropy (Basel)       Date:  2020-02-29       Impact factor: 2.524

5.  Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing.

Authors:  Tim N Palmer; Michael O'Shea
Journal:  Front Comput Neurosci       Date:  2015-10-12       Impact factor: 2.380

6.  Bitwise efficiency in chaotic models.

Authors:  Stephen Jeffress; Peter Düben; Tim Palmer
Journal:  Proc Math Phys Eng Sci       Date:  2017-09-06       Impact factor: 2.704

  6 in total

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