<h3>Summary:</h3>In this episode, Hamish Nicholson tells us about HetCache, a storage engine for analytical workloads that optimizes the data access paths and tunes data placement by co-optimizing for the combinations of different memories, compute devices, and queries. Specifically, we present how the increasingly complex storage hierarchy impacts analytical query processing in GPU-NVMe-accelerated servers. HetCache accelerates analytics on CPU-GPU servers for larger-than-memory datasets through proportional and access-path-aware data placement. Tune in to hear more! <h3>Links:</h3><ul><li><a href="https://www.cidrdb.org/cidr2023/papers/p84-nicholson.pdf" rel="noopener noreferrer" target="_blank">Paper</a></li><li><a href="https://www.nicholson.ai/" rel="noopener noreferrer" target="_blank">Personal website</a></li><li><a href="https://www.linkedin.com/in/hamish-nicholson-53ba1a145/" rel="noopener noreferrer" target="_blank">LinkedIn</a></li><li><a href="https://twitter.com/HamishNicholso3" rel="noopener noreferrer" target="_blank">Twitter</a></li></ul><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, Hamish Nicholson tells us about HetCache, a storage engine for analytical workloads that optimizes the data access paths and tunes data placement by co-optimizing for the combinations of different memories, compute devices, and queries. Specifically, we present how the increasingly complex storage hierarchy impacts analytical query processing in GPU-NVMe-accelerated servers. HetCache accelerates analytics on CPU-GPU servers for larger-than-memory datasets through proportional and access-path-aware data placement. Tune in to hear more! Links:PaperPersonal websiteLinkedInTwitter Hosted on Acast. See acast.com/privacy for more information.

Summary:In this episode, Hamish Nicholson tells us about HetCache, a storage engine for analytical workloads that optimizes the data access paths and tunes data placement by co-optimizing for the combinations of different memories, compute devices, and queries. Specifically, we present how the increasingly complex storage hierarchy impacts analytical query processing in GPU-NVMe-accelerated servers. HetCache accelerates analytics on CPU-GPU servers for larger-than-memory datasets through proportional and access-path-aware data placement. Tune in to hear more! Links:<ul><li><a href="https://www.cidrdb.org/cidr2023/papers/p84-nicholson.pdf" rel="noopener noreferrer">Paper</a></li><li><a href="https://www.nicholson.ai/" rel="noopener noreferrer">Personal website</a></li><li><a href="https://www.linkedin.com/in/hamish-nicholson-53ba1a145/" rel="noopener noreferrer">LinkedIn</a></li><li><a href="https://twitter.com/HamishNicholso3" rel="noopener noreferrer">Twitter</a></li></ul> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

Hamish Nicholson | HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics | #22

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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Hamish Nicholson | HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics | #22

Hamish Nicholson | HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics | #22

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