Disseminate: The Computer Science Research Podcast

Disseminate: The Computer Science Research Podcast

Por: Jack Waudby
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.
82 episodios disponibles

Latest episodes of the podcast Disseminate: The Computer Science Research Podcast

Mostrando página 4 de 5

Immanuel Haffner | mutable: A Modern DBMS for Research and Fast Prototyping | #21 06/02/2023
Konstantinos Kallas | Practically Correct, Just-in-Time Shell Script Parallelization | #20 30/01/2023
Vasily Sartakov | CAP-VMs: Capability-Based Isolation and Sharing in the Cloud #19 23/01/2023
Haoran Ma | MemLiner: Lining up Tracing and Application for a Far-Memory-Friendly Runtime | #18 16/01/2023
Lexiang Huang | Metastable Failures in the Wild | #17 09/01/2023
Andrew Quinn | Debugging the OmniTable Way | #16 02/01/2023
Audrey Cheng | TAOBench: An End-to-End Benchmark for Social Network Workloads | #15 12/12/2022
George Konstantinidis | Enabling Personal Consent in Databases | #14 05/12/2022
Per Fuchs | Sortledton: a Universal, Transactional Graph Data Structure | #13 28/11/2022
George Theodorakis | Scabbard: Single-Node Fault-Tolerant Stream Processing | #12 21/11/2022
Kevin Gaffney | SQLite: Past, Present, and Future | #11 14/11/2022
Matthias Jasny | P4DB - The Case for In-Network OLTP | #10 08/08/2022
Tobias Ziegler | ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA | #9 01/08/2022
Chuzhe Tang | Ad Hoc Transactions in Web Applications: The Good, the Bad, and the Ugly | #8 25/07/2022
Michael Abebe | Proteus: Autonomous Adaptive Storage for Mixed Workloads | #7 18/07/2022
Hani Al-Sayeh | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | #6 11/07/2022
Thomas Hütter | JEDI: These aren’t the JSON documents you’re looking for | #4 08/07/2022
Sainyam Galhotra | Causal Feature Selection for Algorithmic Fairness | #5 08/07/2022
Draco Xu | TSUBASA: Climate Network Construction on Historical and Real-Time Data | #3 04/07/2022
Felix S Campbell | Efficient Answering of Historical What-if Queries | #2 01/07/2022
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