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Title: Computational Complexity and New Computing Approaches

Here, computational complexity analysis allows us to quantify energy-efficiency scaling potential--an important task for assessing research options.
Authors:
 [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Report Number(s):
SAND-2017-8698J
Journal ID: ISSN 0018-9162; 656241
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Computer
Additional Journal Information:
Journal Volume: 49; Journal Issue: 12; Journal ID: ISSN 0018-9162
Publisher:
IEEE
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; digital computer; Rebooting Computing; computing; computational complexity; neural network; neuromorphic; computing limits; thermodynamic limits; analog computer
OSTI Identifier:
1377598

DeBenedictis, Erik P. Computational Complexity and New Computing Approaches. United States: N. p., Web. doi:10.1109/mc.2016.353.
DeBenedictis, Erik P. Computational Complexity and New Computing Approaches. United States. doi:10.1109/mc.2016.353.
DeBenedictis, Erik P. 2016. "Computational Complexity and New Computing Approaches". United States. doi:10.1109/mc.2016.353. https://www.osti.gov/servlets/purl/1377598.
@article{osti_1377598,
title = {Computational Complexity and New Computing Approaches},
author = {DeBenedictis, Erik P.},
abstractNote = {Here, computational complexity analysis allows us to quantify energy-efficiency scaling potential--an important task for assessing research options.},
doi = {10.1109/mc.2016.353},
journal = {Computer},
number = 12,
volume = 49,
place = {United States},
year = {2016},
month = {11}
}