Literature DB >> 31955683

The future of computing beyond Moore's Law.

John Shalf1.   

Abstract

Moore's Law is a techno-economic model that has enabled the information technology industry to double the performance and functionality of digital electronics roughly every 2 years within a fixed cost, power and area. Advances in silicon lithography have enabled this exponential miniaturization of electronics, but, as transistors reach atomic scale and fabrication costs continue to rise, the classical technological driver that has underpinned Moore's Law for 50 years is failing and is anticipated to flatten by 2025. This article provides an updated view of what a post-exascale system will look like and the challenges ahead, based on our most recent understanding of technology roadmaps. It also discusses the tapering of historical improvements, and how it affects options available to continue scaling of successors to the first exascale machine. Lastly, this article covers the many different opportunities and strategies available to continue computing performance improvements in the absence of historical technology drivers. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'.

Entities:  

Keywords:  Moore’s Law; computing; high-performance computing; lithography; microelectronics; post-CMOS

Year:  2020        PMID: 31955683     DOI: 10.1098/rsta.2019.0061

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


  7 in total

1.  Numerical algorithms for high-performance computational science.

Authors:  Jack Dongarra; Laura Grigori; Nicholas J Higham
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-01-20       Impact factor: 4.226

2.  The International Society of RNA Nanotechnology and Nanomedicine (ISRNN): The Present and Future of the Burgeoning Field.

Authors:  Morgan Chandler; Brittany Johnson; Emil Khisamutdinov; Marina A Dobrovolskaia; Joanna Sztuba-Solinska; Aliasger K Salem; Koen Breyne; Roger Chammas; Nils G Walter; Lydia M Contreras; Peixuan Guo; Kirill A Afonin
Journal:  ACS Nano       Date:  2021-10-22       Impact factor: 18.027

3.  Spin-Coated Heterogenous Stacked Electrodes for Performance Enhancement in CMOS-Compatible On-Chip Microsupercapacitors.

Authors:  Agin Vyas; Simin Zare Hajibagher; Ulises Méndez-Romero; Shameel Thurakkal; Qi Li; Mazharul Haque; R K Azega; Ergang Wang; Xiaoyan Zhang; Per Lundgren; Peter Enoksson; Anderson Smith
Journal:  ACS Appl Energy Mater       Date:  2022-03-24

Review 4.  CDMOs Play a Critical Role in the Biopharmaceutical Ecosystem.

Authors:  Hideyuki Kurata; Tetsuya Ishino; Yasuhiro Ohshima; Masafumi Yohda
Journal:  Front Bioeng Biotechnol       Date:  2022-03-21

5.  When We Study the Ability to Attend, What Exactly Are We Trying to Understand?

Authors:  John K Tsotsos
Journal:  J Imaging       Date:  2022-07-31

6.  Design of Organic Electronic Materials With a Goal-Directed Generative Model Powered by Deep Neural Networks and High-Throughput Molecular Simulations.

Authors:  H Shaun Kwak; Yuling An; David J Giesen; Thomas F Hughes; Christopher T Brown; Karl Leswing; Hadi Abroshan; Mathew D Halls
Journal:  Front Chem       Date:  2022-01-17       Impact factor: 5.221

Review 7.  Application of Artificial Intelligence in Lung Cancer.

Authors:  Hwa-Yen Chiu; Heng-Sheng Chao; Yuh-Min Chen
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

  7 in total

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