Talks

Daphne Prototype Release Announcement

2022
Aleš Zamuda “DAPHNE meets ICT-Standardization” (BDV ICT-51 projects workshop)
Aleš Zamuda “DAPHNE: Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC and Machine Learning” [poster] (31st International Electrotechnical and Computer Science Conference)
• Patrick Damme, et al  “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines” (International Symposium on Parallel and Distributed Computing, ISPDC)
• Florina Ciorba “Multilevel Scheduling and Load Balancing in Scientific Applications” (NHR4CES)
• Matthias Boehm, et al “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines” (HiPEAC)
• Matthias Boehm “Optimizing Compiler Infrastructure for Data-centric ML Pipelines” (Microsoft GSL Talk Series)
• Pinar Tözün “Hardware-Conscious Machine Learning “ (Dagstuhl Seminar)
• Tobias Maltenberger and Till Lehmann “Evaluating In-Memory Hash Joins on Persistent Memory” (EDBT)
• Nils Strassenburg “Efficiently Managing Deep Learning Models in a Distributed Environment” (EDBT)
• Matthias Boehm, et al “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines” (German Spring DB Synopsium)
• Pinar Tözün “Toward Hardware-Conscious Data Science” (German Spring DB Symposium)
• Florina Ciorba “Scheduling of Integrated Data Analysis Pipelines” (Leogang HPC Workshop)
• Matthias Boehm, et al “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines” (EVEREST workshop at HiPEAC)
• Matthias Boehm, et al “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines” (Conference on Innovative Data Systems Research, CIDR)

Events, we have organized or co-organized:

• Florina Ciorba “MODA: Monitoring and Operational Data Analytics” (ISC High Performance)
• Florina Ciorba “Swiss Chapter Women in HPC” (Platform for Advancing Scientific Computing)
• Florina Ciorba “21st IEEE International Symposium on Parallel and Distributed Computing” (ISPDC)
• Florina Ciorba “51st International Conference on Parallel Processing” (ICPP)

2021

• Wolfgang Lehner “Academia meets industry: Is there more than polishing the round ball?” (SAP Open House Event E33)
• Matthias Boehm “Data Independence in Machine Learning Pipelines and Data Science Workflows” (ETH/Stanford Workshop on Data-centric AI)
• Wolfgang Lehner “ScaleUp, ScaleOut, …: „ScaleFlex“ for the Next-Generation Database engines?” (Huawei STW2021, Strategy and Technology Workshop)
• Tilmann Rabl “Benchmarking Integrated Data Analysis Pipelines” (Huawei Strategy and Technology Workshop)
• Ilin Tolovski “A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks” (TPCTC @VLDB)
• Florina M. Ciorba: “Multilevel Scheduling and Load Balancing in Scientific Applications” (University of Delaware)
• Aleš Zamuda: “Monitoring and Operational Data Analytics from a User Perspective at First EuroCC HPC Vega Supercomputer and Nation-wide in Slovenia” (MODA at ISC High Performance Digital)
• Wolfgang Lehner: “Flexible Vector Processing for Database Engines” (Huawei ACM SIGMOD/PODS)
• Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl: “Drop It In Like It’s Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs” (International Workshop on Data Management on New Hardware)
• Alberto Lerner, Philippe Bonnet: “Not your Grandpa’s SSD: Storage in the co-Design Era” (International Conference on Management of Data, Sigmod)
• Matthias Boehm: ”Big-Data, Cloud and Machine Learning as a key-enabler for the European Automotive Eco-System” (BDVA Data Week)
• Pınar Tözün: “Data-Intensive Systems in the Microsecond Era” (Waterloo Data Systems Seminars, 2020-2021; Data Processing on Modern Hardware Lectures, TU Munich, 2021; Dutch Seminar on Data Systems Design)

Events, we have organized or co-organized:

• Florina Ciorba: “MODA: Monitoring and Operational Data Analytics” (ISC High Performance Digital)
• Florina Ciorba: “Heterogeneity in Computing” (IPDPS)