News

20 Nov 2020

Our work on Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing has been accepted at BTW'21.

31 Jul 2020

I gave a talk on Processing Large Data on GPUs with Fast Interconnects at the CWI Database Architectures group. The talk is available on  YouTube.

9 Jul 2020

I gave a talk on Processing Large Data on GPUs with Fast Interconnects at Snowflake.

17 Jun 2020

I presented our work on Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects at SIGMOD'20. Check out the talk on  Vimeo and my recording on  YouTube.

20 May 2020

I gave a talk on Processing Large Data on GPUs with Fast Interconnects at the HPI Data Engineering Systems group.

18 May 2020

Our paper on Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects received the SIGMOD Best Paper Award.

14 Mar 2020

Our work on Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects has been accepted at SIGMOD'20.

6 Feb 2020

I gave a talk on Scalable GPU Co-Processing with Fast Interconnects at the Imperial College Large-Scale Data & Systems group.

Publications

BTW'21
 Paper

Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing Alexander Kumaigorodski, Clemens Lutz, Volker Markl, to appear in Database Systems for Business, Technology and Web, September 20–24, 2021, Dresden, Germany.

SIGMOD'20
 Best Paper
 Paper  Blog
 YouTube  Slides

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl, in the ACM International Conference on Management of Data, June 14–19, 2020, Portland, OR, USA.

PVLDB'19
 Paper

Analyzing Efficient Stream Processing on Modern Hardware Steffen Zeuch, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl, in The Proceedings of the VLDB Endowment, Vol. 12, No. 5, Los Angeles, CA, USA, August 26th-30th, 2019.

Datenbanken Spektrum
 Paper  Code

Efficient and Scalable k-Means on GPUs Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl, in Datenbanken Spektrum 2018.

DaMoN'18
 Paper  Code
 Slides  Poster

Efficient k-Means on GPUs Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl, in the 14th ACM Int. Workshop on Data Management on New Hardware (DaMoN'18), colocated with SIGMOD/PODS, Houston, TX, USA, June 11th, 2018.

ICDCS'15
 Paper

RStore: A Direct-Access DRAM-based Data Store Animesh Trivedi, Patrick Stuedi, Bernard Metzler, Clemens Lutz, Martin Schmatz, Thomas R. Gross, in the 35th IEEE Int. Conf. Distributed Computing Systems (ICDCS'15), Columbus, OH, USA, June 29th - July 2nd, 2015.

MSc 2014
 Thesis

Carafe: High-Performance, In-Memory Graph Processing with RDMA. Clemens Lutz, MSc thesis, D-INFK, ETH Zurich, Zurich, Switzerland, October 2014

Theses & Teaching

Thesis Supervision

 Thesis

Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing. Alexander Kumaigorodski, MSc thesis, Faculty IV (EECS), TU Berlin, Berlin, Germany, July 2020

 Thesis

Lock-based Data Structures on GPUs with Independent Thread Scheduling. Phillip Grote, BSc thesis, Faculty IV (EECS), TU Berlin, Berlin, Germany, February 2020

Teaching

• Big Data Analytics Seminar, WS 2020, TU Berlin
• Information Systems and Data Analysis, SS 2020, TU Berlin
• In-Memory Databases On Modern Hardware, SS 2020, TU Berlin
• Databases Laboratory, WS 2019, TU Berlin
• Information Systems and Data Analysis, SS 2019, TU Berlin
• In-Memory Databases On Modern Hardware, SS 2019, TU Berlin
• Databases Laboratory, WS 2018, TU Berlin
• Information Systems and Data Analysis, SS 2018, TU Berlin
• Databases Laboratory, WS 2017, TU Berlin
• Information Systems and Data Analysis, SS 2017, TU Berlin
• Databases Laboratory, WS 2016, TU Berlin
• Information Management Seminar, SS 2016, TU Berlin
• Databases Seminar, WS 2015, TU Berlin
• Operating Systems and Networks, SS 2011, ETH Zurich