Computing beyond Moore's Law
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Here, photolithography systems are on pace to reach atomic scale by the mid-2020s, necessitating alternatives to continue realizing faster, more predictable, and cheaper computing performance. If the end of Moore's law is real, a research agenda is needed to assess the viability of novel semiconductor technologies and navigate the ensuing challenges.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-05CH11231; AC04-94AL85000
- OSTI ID:
- 1334162
- Alternate ID(s):
- OSTI ID: 1525117
- Report Number(s):
- SAND--2015-8039J; 603919
- Journal Information:
- Computer, Journal Name: Computer Journal Issue: 12 Vol. 48; ISSN 0018-9162
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
GPU‐based branch‐and‐bound method to solve large 0‐1 knapsack problems with data‐centric strategies
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journal | September 2018 |
A generic optimization method of multivariate systems on graphic processing units
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journal | September 2018 |
Utilizing Diels–Alder “click” chemistry to functionalize the organic–organic interface of semiconducting polymers
|
journal | January 2020 |
The future of computing beyond Moore’s Law
|
journal | January 2020 |
Numerical algorithms for high-performance computational science
|
journal | January 2020 |
Data-Centric Computing Frontiers: A Survey On Processing-In-Memory
|
conference | October 2016 |
CIM-SIM: Computation In Memory SIMuIator
|
conference | January 2019 |
An all-optical neuron with sigmoid activation function
|
journal | January 2019 |
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