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Frugal approach to computer modelling can reduce carbon emissions

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Manage episode 408153014 series 2830806
内容由Physics World提供。所有播客内容(包括剧集、图形和播客描述)均由 Physics World 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

As computing power continues to grow, theoretical physicists have been able to do larger and more complicated simulations. Running these models consumes a growing amount of energy, and for the time being, this results in more greenhouse-gas emissions that contribute to climate change. Indeed, doing an intensive supercomputer simulation can result in emissions that are on par with taking a long-haul flight.

In this episode of the Physics World Weekly podcast, Alejandro Gaita and Gerliz Gutiérrez of Spain’s University of Valencia tell Physics World’s Margaret Harris how the physics community can reduce its computing-related carbon emissions.

Gaita and Gutiérrez are theoretical materials physicists and they argue that scientists should take a frugal approach to computer modelling, which can achieve scientifically relevant results while minimizing energy consumption.

  continue reading

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Manage episode 408153014 series 2830806
内容由Physics World提供。所有播客内容(包括剧集、图形和播客描述)均由 Physics World 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

As computing power continues to grow, theoretical physicists have been able to do larger and more complicated simulations. Running these models consumes a growing amount of energy, and for the time being, this results in more greenhouse-gas emissions that contribute to climate change. Indeed, doing an intensive supercomputer simulation can result in emissions that are on par with taking a long-haul flight.

In this episode of the Physics World Weekly podcast, Alejandro Gaita and Gerliz Gutiérrez of Spain’s University of Valencia tell Physics World’s Margaret Harris how the physics community can reduce its computing-related carbon emissions.

Gaita and Gutiérrez are theoretical materials physicists and they argue that scientists should take a frugal approach to computer modelling, which can achieve scientifically relevant results while minimizing energy consumption.

  continue reading

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