# Graphs for HPC and LLMs Page: https://stenobird.com/podcast/data-skeptic/graphs-for-hpc-and-llms Text version: https://stenobird.com/podcast/data-skeptic/graphs-for-hpc-and-llms.md Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic) Published: 2024-10-29T15:13:00+00:00 Episode link: https://dataskeptic.com/blog/episodes/2024/graphs-for-hpc-and-llms Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/graphs-for-hpc-and-llms.mp3?dest-id=201630 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/graphs-for-hpc-and-llms Duration seconds: 3128 ## Resource We are joined by Maciej Besta, a senior researcher of sparse graph computations and large language models at the Scalable Parallel Computing Lab (SPCL). In this episode, we explore the intersection of graph theory and high-performance computing (HPC), Graph Neural Networks (GNNs) and LLMs. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/graphs-for-hpc-and-llms/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/data-skeptic/graphs-for-hpc-and-llms.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.