Artwork

Innhold levert av Physics World. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Physics World eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

Cutting the carbon footprint of supercomputing in scientific research

36:49
 
Del
 

Manage episode 327478551 series 3008958
Innhold levert av Physics World. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Physics World eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Science benefits enormously from supercomputing, which enables researchers to process vast amounts of data and conduct complex simulations. But these machines can be notorious energy guzzlers, with the largest supercomputers consuming as much power as a small city. In this episode of the Physics World Stories podcast, scientists discuss how individuals can reduce the environmental impact of supercomputing without compromising research goals.

Simon Portegies Zwart, an astrophysicist at Leiden University in the Netherlands, says more efficient coding is vital for making computing greener. While for mathematician and physicist Loïc Lannelongue, the first step is for computer modellers to become more aware of their environmental impacts, which vary significantly depending on the energy mix of the country hosting the supercomputer. Lannelongue, who is based at the University of Cambridge, UK, has developed Green Algorithms, an online tool that enables researchers to estimate the carbon footprint of their computing projects.

Find out more on this topic in the article “The huge carbon footprint of large-scale computing“, originally published in the March issue of Physics World.

  continue reading

100 episoder

Artwork
iconDel
 
Manage episode 327478551 series 3008958
Innhold levert av Physics World. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Physics World eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Science benefits enormously from supercomputing, which enables researchers to process vast amounts of data and conduct complex simulations. But these machines can be notorious energy guzzlers, with the largest supercomputers consuming as much power as a small city. In this episode of the Physics World Stories podcast, scientists discuss how individuals can reduce the environmental impact of supercomputing without compromising research goals.

Simon Portegies Zwart, an astrophysicist at Leiden University in the Netherlands, says more efficient coding is vital for making computing greener. While for mathematician and physicist Loïc Lannelongue, the first step is for computer modellers to become more aware of their environmental impacts, which vary significantly depending on the energy mix of the country hosting the supercomputer. Lannelongue, who is based at the University of Cambridge, UK, has developed Green Algorithms, an online tool that enables researchers to estimate the carbon footprint of their computing projects.

Find out more on this topic in the article “The huge carbon footprint of large-scale computing“, originally published in the March issue of Physics World.

  continue reading

100 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett