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Matthias Jasny M.Sc. Informatik

PhD Student Computer Science

Technische Universität Darmstadt

Education

04/2021 - present

Ph.D. in Computer Science , TU Darmstadt

• Focus: Scalable Data Management on Programmable Networks
• Advisor: Prof. Carsten Binnig

10/2018 - 04/2021

M.Sc. in Computer Science (GPA: 1.7), TU Darmstadt

• Subsidiary subject: Electrical engineering and information technology
• Thesis: In-Network Processing of Hot Transactional Tuples on Programmable Switches (Grade: 1.0) (Best Master's Thesis Award)

10/2015 - 10/2018

B.Sc. in Computer Science (GPA: 1.6), TU Darmstadt

• Thesis: A Transactional Database Kernel for Machine Learning (Grade: 1.0)

Conference Publications

SIGMOD 2024

Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs

VLDB 2023

Databases on Modern Networks: A Decade of Research That Now Comes into Practice

DaMoN 2023

Zero-sided RDMA: Network-driven Data Shuffling

Demo@VLDB 2022

DBMS Annihilator: A High-Performace Database Workload Generator in Action

SIGMOD 2022

P4DB - The Case for In-Network OLTP

SIGMOD 2021

DFI - The Data Flow Interface for High-Speed Networks (Best Paper Award)

SIGMOD 2020

DB4ML - An In-Memory Database Kernel with ML Support

All publications can be found at DBLP

Work Experice

04/2021 - present

Research Assistant , Data and AI Systems Lab, TU Darmstadt

01/2019 - 09/2020

Student Assistant , Data Management Lab, TU Darmstadt

• Support in Teaching
• Database Research (DB4ML)
• Data Processing in High-speed Networks (DFI)

05/2018 - 02/2020

Student Assistant , Distributed Systems Programming Lab, TU Darmstadt

• In-Network Processing (Netronome SmartNIC)

Honors

01/2022

Best Master's Thesis Award , TU Darmstadt

Award for outstanding scientific achievements
Gifted by: Vereinigung von Freunden der Technischen Universität zu Darmstadt e.V.

06/2021

SIGMOD 2021 Best Papers Award , ACM SIGMOD/PODS

Award for most outstanding paper presented at the annual ACM SIGMOD/PODS conference
More information:Conference web-page