Literature DB >> 32499413

There's plenty of room at the Top: What will drive computer performance after Moore's law?

Charles E Leiserson1, Neil C Thompson2,3, Joel S Emer1,4, Bradley C Kuszmaul1, Butler W Lampson1,5, Daniel Sanchez1, Tao B Schardl1.   

Abstract

The miniaturization of semiconductor transistors has driven the growth in computer performance for more than 50 years. As miniaturization approaches its limits, bringing an end to Moore's law, performance gains will need to come from software, algorithms, and hardware. We refer to these technologies as the "Top" of the computing stack to distinguish them from the traditional technologies at the "Bottom": semiconductor physics and silicon-fabrication technology. In the post-Moore era, the Top will provide substantial performance gains, but these gains will be opportunistic, uneven, and sporadic, and they will suffer from the law of diminishing returns. Big system components offer a promising context for tackling the challenges of working at the Top.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2020        PMID: 32499413     DOI: 10.1126/science.aam9744

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  10 in total

1.  Predictive Radiation Oncology - A New NCI-DOE Scientific Space and Community.

Authors:  Jeffrey C Buchsbaum; David A Jaffray; Demba Ba; Lynn L Borkon; Christine Chalk; Caroline Chung; Matthew A Coleman; C Norman Coleman; Maximilian Diehn; Kelvin K Droegemeier; Heiko Enderling; Michael G Espey; Emily J Greenspan; Christopher M Hartshorn; Thuc Hoang; H Timothy Hsiao; Cynthia Keppel; Nathan W Moore; Fred Prior; Eric A Stahlberg; Georgia Tourassi; Karen E Willcox
Journal:  Radiat Res       Date:  2022-04-01       Impact factor: 3.372

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.  Hidden Markov model-based heartbeat detector using electrocardiogram and arterial pressure signals.

Authors:  Miguel Altuve; Nelson F Monroy
Journal:  Biomed Eng Lett       Date:  2021-06-03

4.  Conservation machine learning: a case study of random forests.

Authors:  Moshe Sipper; Jason H Moore
Journal:  Sci Rep       Date:  2021-02-11       Impact factor: 4.379

5.  Sustained software development, not number of citations or journal choice, is indicative of accurate bioinformatic software.

Authors:  Paul P Gardner; James M Paterson; Stephanie McGimpsey; Fatemeh Ashari-Ghomi; Sinan U Umu; Aleksandra Pawlik; Alex Gavryushkin; Michael A Black
Journal:  Genome Biol       Date:  2022-02-16       Impact factor: 13.583

6.  Device performances analysis of p-type doped silicene-based field effect transistor using SPICE-compatible model.

Authors:  Mu Wen Chuan; Munawar Agus Riyadi; Afiq Hamzah; Nurul Ezaila Alias; Suhana Mohamed Sultan; Cheng Siong Lim; Michael Loong Peng Tan
Journal:  PLoS One       Date:  2022-03-03       Impact factor: 3.240

Review 7.  Time in schizophrenia: a link between psychopathology, psychophysics and technology.

Authors:  Maria Bianca Amadeo; Davide Esposito; Andrea Escelsior; Claudio Campus; Alberto Inuggi; Beatriz Pereira Da Silva; Gianluca Serafini; Mario Amore; Monica Gori
Journal:  Transl Psychiatry       Date:  2022-08-12       Impact factor: 7.989

8.  Phylogenetic prioritization of HIV-1 transmission clusters with viral lineage-level diversification rates.

Authors:  Rachel L Miller; Angela McLaughlin; Richard H Liang; John Harding; Jason Wong; Anh Q Le; Chanson J Brumme; Julio S G Montaner; Jeffrey B Joy
Journal:  Evol Med Public Health       Date:  2022-07-22

9.  What is the speed limit of martensitic transformations?

Authors:  Stefan Schwabe; Klara Lünser; Daniel Schmidt; Kornelius Nielsch; Peter Gaal; Sebastian Fähler
Journal:  Sci Technol Adv Mater       Date:  2022-10-06       Impact factor: 7.821

Review 10.  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

  10 in total

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