Balasubramanian Gurumurthy

M.Sc. Balasubramanian Gurumurthy

AG Datenbanken & Software Engineering
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, G29-105
Vita

Bala begann sein Informatik-Masterstudium im Sommersemester 2015 an der Otto-von-Guericke-Universität Magdeburg. Seinen Bachelor erhielt er hier im Jahr 2013 und seinen Master im Jahr 2017. Seit Oktober 2017 arbeitet Bala in der Arbeitsgruppe Datenbanken und Software Engineering als wissenschaftlicher Mitarbeiter. 

Publikationen

2021

  • David Broneske, Anna Drewes, Bala Gurumurthy, Imad Hajjar, Thilo Pionteck, and Gunter Saake. In-Depth Analysis of OLAP Query Performance On Heterogeneous Hardware. Datenbank-Spektrum, May 2021. Accepted.
     
  • Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake. Analysis of GPU-Libraries for rapid Prototyping Database Operations. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2021. Accepted.
     
  • Bala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck, and Gunter Saake. An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2021. Accepted.
     
  • Anh Trang Le, Gabriel Campero Durand, Bala Gurumurthy, David Broneske, Christoph Steup, and Gunter Saake. Design Considerations Towards AI-Driven Co-Processor Accelerated Database Management. In Grundlagen von Datenbanken (GvDB), April 2021. Accepted.
     

2020

  • Bala Gurumurthy, Imad Hajjar, David Broneske, Thilo Pionteck, and Gunter Saake. When Vectorwise Meets Hyper, Pipeline Breakers Become the Moderator. Eleventh International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), August 2020.
     
  • Anna Drewes, Jan Moritz Joseph, Bala Gurumurthy, David Broneske, Gunter Saake, and Thilo Pionteck. Optimising Operator Sets for Analytical Database Processing on FPGAs. In International Workshop on Applied Reconfigurable Computing (ARC), pages 30–44, February 2020.
     

2018

2017

Forschung
  • Adaptive database systems
  • Heterogeneous hardware
  • Hardware parallelisms in DB

Letzte Änderung: 31.03.2021 - Ansprechpartner:

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