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Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

SIGMOD 2020

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Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

SIGMOD 2020

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Optimizing Machine Learning Workloads in Collaborative Environments

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan,Tilmann Rabl, Volker Markl

SIGMOD 2020

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ExDRa: Exploratory Data Science on Federated Raw Data

Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp Marian Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch

SIGMOD 2021

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Compliant Geo-distributed Query Processing

Kaustubh Beedkar, Jorge Quiane-Ruiz, Volker Markl

SIGMOD 2021

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NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access

Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl

SIGMOD 2022

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Triton Join: Efficiently Scaling the Operator State on GPUs with Fast Interconnects

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

SIGMOD 2022

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Rethinking Stateful Stream Processing with RDMA

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

SIGMOD 2022

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