Supervision

Postdocs

Jon Voigt Tøttrup (January 2022 - July 2022)
Sebastian Baunsgaard (July 2019 - December 2019, now PhD student at TU Berlin, Germany)
Sebastian Benjamin Wrede (July 2019 - December 2019, now PhD student at KNOW Center, Graz, Austria)

DAPHNE at the Edge
Students: Adelina-Georgiana Mahu, Peter Due Jensen, Signe Frederikke Bramsen Hansen
Data Pre-Processing in ML Pipelines
Student: Joachim Moe Osterhammel
Efficient Data Storage and Loading for Deep Learning Frameworks
Student: Neil Kim Nielsen
Co-supervised with Ties Robroek
Hardware Utilization Estimation with Machine Learning
Student: Hans Kristian Krogshede
Co-supervised with Ehsan Yousefzadeh-Asl-Miandoab
Image Analysis on Cubesats
Student: Robert Bayer
Disk Access Tracing for Data-Intensive Systems
Student: Jonas Aagaard

An Analysis of Multi-Instance GPUs for Machine Learning Workloads
Students: Anders Friis Kaas, Stilyan Petrov Paleykov
Co-supervised with Ties Robroek
Computational Storage - Experimental Analysis of ScaleFlux Device
Students: Benjamin Møller Noer, Mark Kristian Kristensen, Servan Güler
Micro-architectural Analysis of Learned Indexes
Student: Thomas Tyge Andersen
An Analysis of Data Integration Challenges in Digital Marketing Data
Student: Pernille Lykke Weiercke

Dynamic eCP
Student: Morten Skøtt Knudsen
Co-supervised with Björn Thór Jónsson
An Analysis Of New Generation SSDs
Student: Andreas Blanke, Magnus Christian Frydenlund Krøyer
Co-supervised with Philippe Bonnet
Profiling Unity DOTS
Students: Niels Frederik Ejlersen

Benchmarking time-series systems with an HTAP/IoT workload
Student: Marcus Winding Quistgaard
Scheduling in Multi-tenant Systems based on Application Characteristics
Student: Peter Hrvola

Scalable Speech Recognition
Students: Sebastian Baunsgaard, Sebastian Benjamin Wrede

Unity Performance with Data Oriented Technology Stack (DOTS)
Students: Anders Parsberg Wagner

Performance profiling of the learned index ALEX against different database indexes
Students: Mikkel Møller Andersen
Later published as Micro-architectural Analysis of a Learned Index at aiDM 2022
Optimizing Neural Networks for PYNQ
Students: Neil Kim Nielsen, Robert Bayer
Co-supervised with Zsolt István
Analysis of Multi-GPU Training for Neural Networks
Students: Gustav Sandholm Franck, Jacob August Xander Ottensten
Exploration of SystemDS
Students: Emil Dichmann
Gathering and presentation of data for CO2 emmision from buildings
Students: Andreas Pries-Brokmann, Jeremy Wernet Rasmussen

Comparing Intel’s oneAPI performance to traditional multithreaded code
Students: Danny Delic

A Study of Partitioning Algorithms For In-Memory Databases
Student: Tobias Skovgaard Jeppesen
Co-supervised with Philippe Bonnet

Low-latency Inference for NLP on Specialized Hardware
Students: Neil Kim Nielsen, Robert Bayer
Co-supervised with Zsolt István