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.
77 episodes transcribedSummary: Debugging is time-consuming, accounting for roughly 50% of a developer's time. In this episode Andrew Quinn tells us about the OmniTable, an...
Summary: This episode features Audrey Cheng talking about TAOBench, a new benchmark that captures the social graph workload at Meta. Audrey tells us a...
Summary: Users have the right to consent to the use of their data, but current methods are limited to very coarse-grained expressions of consent, as “...
Summary (VLDB abstract):Despite the wide adoption of graph processing across many different application domains, there is no underlying data structure...
Summary (VLDB abstract):Single-node multi-core stream processing engines (SPEs) can process hundreds of millions of tuples per second. Yet making them...
Summary: In this episode Kevin Gaffney tells us about SQLite, the most widely deployed database engine in existence. SQLite is found in nearly every s...
Summary: In this episode Matthias Jasny from TU Darmstadt talks about P4DB, a database that uses a programmable switch to accelerate OLTP workloads. T...
Summary: In this episode Tobias talks about his work on ScaleStore, a distributed storage engine that exploits DRAM caching, NVMe storage, and RDMA ne...
Summary: Many transactions in web applications are constructed ad-hoc in the application code. For example, developers might explicitly use locking pr...
Summary:Enterprises use distributed database systems to meet the demands of mixed or hybrid transaction/analytical processing (HTAP) workloads that co...
Summary:Distributed in-memory processing frameworks accelerate iterative workloads by caching suitable datasets in memory rather than recomputing them...
Summary:The JavaScript Object Notation (JSON) is a popular data format used in document stores to natively support semi-structured data.In this interv...
Summary:The use of machine learning (ML) in high-stakes societal decisions has encouraged the consideration of fairness throughout the ML lifecycle....
Summary: A climate network represents the global climate system by the interactions of a set of anomaly time-series. Network science has been applied...
Summary:In this interview Felix discusses "historical what-if queries", a novel type of what-if analysis that determines the effect of a hypothetical...
Summary: Preprocessing pipelines in deep learning aim to provide sufficient data throughput to keep the training processes busy. Maximizing resource u...
Welcome to Disseminate! The podcast bringing you the cutting edge of Computer Science research in a digestible format. Each series will focus on paper...
