A Quest to Reduce Dependency on CPUs in Deep Learning Data Pipelines
By Pınar Tözün at CHEOPS 2025 (March 2025, collocated with EuroSys 2025)
GPU Memory Usage Estimation for Efficient Resource Management for Deep Learning Training
By Ehsan Yousefzadeh-Asl-Miandoab at ESwML 2025 Workshop, colocated with EuroSys 2025, and ASPLOS 2025 (31st March 2025)
Towards A Modular End-To-End Machine Learning Benchmarking Framework
By Robert Bayer at TDIS 2025 (March 2025)
The Five-Minute Rule for the Cloud: Caching in Analytics Systems
By Pınar Tözün at CIDR 2025 (January 2025)
Efficient Supercomputing for Data-Intensive Applications
By Pınar Tözün at Digital Tech Summit 2024 (October 2024)
Data Path in Deep Learning
By Pınar Tözün at Data Management Aspects of Analytics session at D3A 2024 (October 2024)
Peaceful Sharing while Training
By Pınar Tözün at Dutch Seminar on Data Systems Design (October 2024)
From Image Analysis in Space to Complex Pipelines at the Edge
By Robert Bayer
(September 19, 2024) at Systems Research @ Google (SRG), ML Compilers @ Google
(September 20, 2024) at Gray Systems Lab @ Microsoft
Shipping up to Space
By Robert Bayer at HPTS 2024 (September 2024)
Data Processing at the Edge: From Satellites to Earth
By Pınar Tözün at DEI Keynote at MDM 2024 (June 2024)
Reaching the Edge of the Edge: Image Analysis in Space
By Robert Bayer at DEEM (@SIGMOD 2024) (June 2024)
Towards Transparency in Computational Footprint of Deep Learning
By Pınar Tözün at ESwML 2024 (April 2024)
An Analysis of Collocation on GPUs for Deep Learning Training
By Ties Robroek at 4th EuroMLSys (@EuroSys 2024) (April 2024)
No Resource Left Behind: Machine Learning at the Edge
By Robert Bayer at EuroSys 2024 Doctoral Workshop (April 2024)
CPU, GPU, FPGA, Accelerator
By Ehsan Yousefzadeh-Asl-Miandoab at Large Scale Data Analysis course (April 2024)
VideoResource-Efficient Training via Task Collocation on GPUs
By Ehsan Yousefzadeh-Asl-Miandoab at D3A conference (February 2024)
Different Scales of Resource-Aware Deep Learning and How to Tackle Them
By Pınar Tözün at various places during her sabbatical in Fall 2023 and the following year.
September 2024: ChiData Group, University of Chicago, IL, USA
June 2024: Large Scale Data & Systems Group, Imperial College London, UK
December 12, 2023: Systems Group, ETH Zürich, Switzerland
December 8, 2023: DIAS Lab, EPFL, Switzerland
December 4, 2023: eXascale Infolab, University of Fribourg, Switzerland
November 28, 2023: Databricks, Amsterdam, The Netherlands
November 28, 2023: INDE Lab, University of Amsterdam, The Netherlands
November 27, 2023: Database Architectures Group, CWI, Amsterdam, The Netherlands
October 27, 2023: Systems Group, TU Darmstadt, Germany
October 10, 2023: Chair for Database Systems, TU Munich, Germany
October 5, 2023: Snowflake, Berlin, Germany
September 25, 2023: DIMA, TU Berlin, Germany
September 19, 2023: HPI Data & AI Cluster Retreat, Germany
September 12, 2023: BIFOLD Summer School 2023 on Artificial Intelligence and Ecological Sustainability, Berlin, Germany
Hardware Parallelism and Transaction Processing Systems
By Pınar Tözün at HPI Lecture Series on Database Research (October 2023) and VLDB Summer School (July 2023)
Data Management and Visualization for Benchmarking Deep Learning Training Systems
By Ties Robroek at 7th DEEM (@SIGMOD) (Best Presentation Award) (June 2023)
Profiling and Monitoring Deep Learning Training Tasks
By Ehsan Yousefzadeh-Asl-Miandoab at 3rd EuroMLSys (May 2023)
TPCx-AI on NVIDIA Jetsons
By Robert Bayer at TPCTC (September 2022)
Micro-Architectural Analysis of a Learned Index
By Pınar Tözün at aiDM (June 2022)
Peaceful Co-habitation on GPUs for Deep Learning
By Pınar Tözün at Microsoft GSL Talk Series 2022 (May 2022)
Sustainable Use of Hardware
By Pınar Tözün at ITU Climate IT Video Series (May 2022)
Toward Hardware-Conscious Data Science
By Pınar Tözün at FGDB (March 2022), WiDS Copenhagen (April 2022), ITU Workshop on Frontiers of NLP Research (May 2022)
Processors
By Ehsan Yousefzadeh-Asl-Miandoab at Large Scale Data Analysis course (April 2022)