<h3>Summary: </h3>In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN, the first system that utilises the entire storage hierarchy (including disk) for GNN training. Tune in to find out how MaruisGNN works and just how fast it goes (and how much more cost-efficient it is!) Links: <ul><li><a href="https://marius-project.org/" rel="noopener noreferrer" target="_blank">Marius Project</a></li><li><a href="http://www.rogerwaleffe.com/" rel="noopener noreferrer" target="_blank">Roger's Homepage</a> </li><li><a href="https://twitter.com/RWaleffe" rel="noopener noreferrer" target="_blank">Roger's Twitter</a></li><li><a href="https://arxiv.org/abs/2202.02365" rel="noopener noreferrer" target="_blank">EuroSys'23 Paper</a></li></ul> Support the podcast through <a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer" target="_blank">Buy Me a Coffee</a><hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

Summary: In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN, the first system that utilises the entire storage hierarchy (including disk) for GNN training. Tune in to find out how MaruisGNN works and just how fast it goes (and how much more cost-efficient it is!) Links: Marius ProjectRoger's Homepage Roger's TwitterEuroSys'23 Paper Support the podcast through Buy Me a Coffee Hosted on Acast. See acast.com/privacy for more information.

Summary: In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN, the first system that utilises the entire storage hierarchy (including disk) for GNN training. Tune in to find out how MaruisGNN works and just how fast it goes (and how much more cost-efficient it is!) Links: <ul><li><a href="https://marius-project.org/" rel="noopener noreferrer">Marius Project</a></li><li><a href="http://www.rogerwaleffe.com/" rel="noopener noreferrer">Roger's Homepage</a> </li><li><a href="https://twitter.com/RWaleffe" rel="noopener noreferrer">Roger's Twitter</a></li><li><a href="https://arxiv.org/abs/2202.02365" rel="noopener noreferrer">EuroSys'23 Paper</a></li></ul> Support the podcast through <a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer">Buy Me a Coffee</a> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #37

This podcast features interviews with Computer Science researchers. Hosted by <a href="https://jackwaudby.github.io/" rel="noopener noreferrer" target="_blank">Dr. Jack Waudby</a> researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through&nbsp;<a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer" target="_blank">Buy Me a Coffee</a>.&nbsp;A donation of $3 will help us keep making you awesome Computer Science research podcasts.&nbsp;<hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

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This podcast features interviews with Computer Science researchers. Hosted by Dr. Jack Waudby researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through Buy Me a Coffee. A donation of $3 will help us keep making you awesome Computer Science research podcasts.  Hosted on Acast. See acast.com/privacy for more information.

This podcast features interviews with Computer Science researchers. Hosted by <a href="https://jackwaudby.github.io/" rel="noopener noreferrer">Dr. Jack Waudby</a> researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through&nbsp;<a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer">Buy Me a Coffee</a>.&nbsp;A donation of $3 will help us keep making you awesome Computer Science research podcasts.&nbsp; Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

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Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #37

Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #37

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