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There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
Open accessAbstract
From bottom to top: The doubling of the number of transistors on a chip every 2 years, a seemly inevitable trend that has been called Moore's law, has contributed immensely to improvements in computer performance. However, silicon-based transistors cannot get much smaller than they are today, and other approaches should be explored to keep performance growing. Leiserson et al.review recent examples and argue that the most promising place to look is at the top of the computing stack, where improvements in software, algorithms, and hardware architecture can bring the much-needed boost. Science, this issue p.eaam9744
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Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
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Application of Artificial Intelligence in Lung Cancer
Chiu, H.-Y., Chao, H.-S., & Chen, Y.-M. (2022) · Cancers · doi:10.3390/cancers14061370 · Cited by 138
Neural inference at the frontier of energy, space, and time
Modha, D. S., Akopyan, F., Andreopoulos, A., Appuswamy, R., Arthur, J. V., Cassidy, A. S., Datta, P., DeBole, M. V., Esser, S. K., Otero, C. O., et al. (2023) · Science · doi:10.1126/science.adh1174 · Cited by 115
AI and ML Accelerator Survey and Trends
Reuther, A., Michaleas, P., Jones, M., Gadepally, V., Samsi, S., & Kepner, J. (2022) · 2022 IEEE High Performance Extreme Computing Conference (HPEC) · doi:10.1109/hpec55821.2022.9926331 · Cited by 109
Will AI accelerate or delay the race to net-zero emissions?
Luers, A., Koomey, J., Masanet, E., Gaffney, O., Creutzig, F., Lavista Ferres, J., & Horvitz, E. (2024) · Nature · doi:10.1038/d41586-024-01137-x · Cited by 45
Metadata
- Authors
- Leiserson, C. E., Thompson, N. C., Emer, J. S., Kuszmaul, B. C., Lampson, B. W., Sanchez, D., & Schardl, T. B.
- Venue
- Science
- Published
- 2020-06-05
- Volume
- 368
- Issue
- 6495
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3033308515
- Cited by
- 469
- References
- 5
- FWCI
- 41.33
- Type
- journal article
- Language
- en
- Open access
- green
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