Book contents
- The Climate Demon
- Reviews
- The Climate Demon
- Copyright page
- Dedication
- Contents
- Figures
- Preface
- Acknowledgments
- Introduction
- Part I The Past
- Part II The Present
- Part III The Future
- 16 Moore’s Law
- 17 Machine Learning
- 18 Geoengineering
- 19 Pascal’s Wager
- 20 Moonwalking into the Future
- Epilogue
- Glossary
- Notes
- Select Bibliography
- References
- Index
16 - Moore’s Law
To Exascale and Beyond
from Part III - The Future
Published online by Cambridge University Press: 02 November 2021
- The Climate Demon
- Reviews
- The Climate Demon
- Copyright page
- Dedication
- Contents
- Figures
- Preface
- Acknowledgments
- Introduction
- Part I The Past
- Part II The Present
- Part III The Future
- 16 Moore’s Law
- 17 Machine Learning
- 18 Geoengineering
- 19 Pascal’s Wager
- 20 Moonwalking into the Future
- Epilogue
- Glossary
- Notes
- Select Bibliography
- References
- Index
Summary
Climate modeling requires supercomputers, which are simply the most powerful computers at a given time. The history of supercomputing is briefly described. As computer chips became faster each year for the same price (Moore’s Law), supercomputers also became faster. But due to technological limitations, chips are no longer becoming faster each year. More chips are therefore needed for faster supercomputers, which means that supercomputers cost more money and consume more power every year. The newest chips, known as Graphical Processing Units (GPUs), are not as efficient at running climate models, because they are optimized for other applications like machine learning (ML). Extrapolating current trends in computing, we can expect future supercomputers that run the high-resolution climate models of the future to be very expensive and power hungry.
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- The Climate DemonPast, Present, and Future of Climate Prediction, pp. 253 - 267Publisher: Cambridge University PressPrint publication year: 2021