Seminars

2024
Different Scales of Resource-Aware Deep Learning & How to Tackle Them
Pınar Tözün, IT University of Copenhagen
Thursday, June 6, 2024 - 14:00, Imperial College London
Mysticeti: The New Core of the Sui Blockchain
Alberto Sonnino, Mysten Labs
Thursday, May 30, 2024 - 14:00, Imperial College London
System Infrastructure for Data-centric ML Pipelines
Matthias Boehm, TU Berlin
Thursday, February 8, 2024 - 14:00, Imperial College London
Adaptive serverless edge computing
Tomasz Szydlo, Newcastle University
Thursday, January 25, 2024 - 14:30, Imperial College London
Trusted environment for cloud-edge continuum
Devki Nandan Jha, Newcastle University
Thursday, January 25, 2024 - 14:00, Imperial College London
WiscSort: External Sorting For Byte-Addressable Storage
Yuvraj Patel, University of Edinburgh
Thursday, January 18, 2024 - 14:00, Online
Predicate pushdown for data science pipelines
Cong Yan, Microsoft Research Redmond
Thursday, January 11, 2024 - 14:00, Online
2023
Towards ML-augmented Database Systems
Carsten Binnig, TU Darmstadt
Thursday, November 23, 2023 - 14:00, Online
Rethinking System Software for the Serverless Cloud
Ana Klimovic, ETH Zurich
Thursday, November 16, 2023 - 14:00, Imperial College London
Achieving Datacenter Resource Fungibility with Logical Processes
Zain Ruan, MIT
Thursday, November 9, 2023 - 14:00, Online
BtrBlocks: Efficient Columnar Compression for Data Lakes
Maximilian Kuschewski, Technical University of Munich
Friday, November 3, 2023 - 14:00, Online
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies
Xenofon Chatziliadis, TU Berlin
Thursday, October 19, 2023 - 14:00, Imperial College London
Query Compilation for Modern Data Processing Environments
Philipp Grulich, TU Berlin
Thursday, October 12, 2023 - 14:00, Imperial College London
Johnny Cache: the End of DRAM Cache Conflicts in Tiered Main Memory Systems
Baptiste Lepers, Université de Neuchâtel
Thursday, September 28, 2023 - 14:00, Online
Towards a General ML for Systems Methodology
Martin Maas, Google
Thursday, August 31, 2023 - 14:00, Imperial College London
DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps
Tianyu Li, MIT
Thursday, July 27, 2023 - 13:00, Imperial College London
Transparent Container Checkpointing and Rollback-Recovery with Kubernetes: Open Challenges and Research Directions
Radostin Stoyanov, University of Oxford
Thursday, March 9, 2023 - 14:00, Imperial College London
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Imperial College London
Thursday, February 9, 2023 - 14:00, Imperial College London
Building Hybrid Trusted Execution Environments with both Large Secure Memory and Integrity Protection Against Hardware Attacks
Pierre-Louis Aublin, IIJ Research Laboratory, Japan
Thursday, January 12, 2023 - 14:00, Online
2022
Scaling AI Computing Sustainably
Carole-Jean Wu, Meta AI
Thursday, December 8, 2022 - 14:00, Online

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