Accepted Papers

Full Papers

  • Bridging the latency gap between NVM and DRAM for latency-bound operations (Georgios Psaropoulos,EPFL; Ismail Oukid, SAP SE; Thomas Legler, SAP SE; Norman May, SAP SE; Anastasia Ailamaki, EPFL)
  • Exact Set Similarity Joins for Large Datasets in the GPGPU paradigm (Christos Bellas, Aristotle University of Thessaloniki; Anastastios Gounaris, Aristotle University of Thessaloniki)
  • GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data (Michael Gowanlock, Northern Arizona University; Ben Karsin, Université libre de Bruxelles)
  • Cold Storage Data Archives: More Than Just a Bunch of Tapes (Bunjamin Memishi, German Aerospace Center; Raja Appuswamy, Eurecom; Marcus Paradies, German Aerospace Center)
  • Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs (Viktor Rosenfeld, DFKI GmbH; Sebastian Breß, DFKI GmbH; Steffen Zeuch, DFKI Berlin; Tilmann Rabl, Technische Universität Berlin; Volker Markl, Techniche Universität Berlin)
  • Data Compression in NVRAM-centric Data Stores - Comparative Experimental Analysis to DRAM (Mikhail Zarubin, TU Dresden; Patrick Damme, Technische Universität Dresden; Thomas Kissinger, TU Dresden; Dirk Habich, TU Dresden; Thomas Willhalm, Intel Deutschland GmbH; Wolfgang Lehner, TU Dresden)
  • Fast & Strong: The Case of Compressed String Dictionaries on Modern CPUs (Robert Lasch, SAP SE; Ismail Oukid, SAP SE; Roman Dementiev, Intel Deutschland GmbH; Norman May, SAP SE; Suleyman Demirsoy, Intel Corp.; Kai-Uwe Sattler, TU Ilmenau)
  • Improving CPU I/O Performance via SSD Controller FTL Support for Batched Writes (Jaeyoung Do, Microsoft; David Lomet, Microsoft Research; Ivan Luiz Picoli, ITU Copenhagen)
  • Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives (Michael Gowanlock, Northern Arizona University; Ben Karsin, Université libre de Bruxelles; Zane Fink, Northern Arizona University; Jordan Wright, Northern Arizona University)
  • Towards Practical Vectorized Analytical Query Engines (Orestis Polychroniou, Amazon; Kenneth A Ross, Columbia University)
  • Persistent Memory I/O Primitives (Alexander van Renen, TUM; Lukas Vogel, TUM; Viktor Leis, Friedrich Schiller University Jena; Thomas Neumann, TUM; Alfons Kemper, TUM)
  • Event Stream Processing on Heterogeneous System Architecture (Michael Körber, University of Marburg; Jakob Eckstein, University of Marburg; Nikolaus Glombiewski, University of Marburg; Bernhard Seeger, University of Marburg)
  • Fluid Co-processing: GPU Bloom-filters for CPU Joins (Tim Gubner, CWI; Diego Tomé, CWI; Harald Lang, TU Munich; Peter Boncz, Centrum Wiskunde & Informatica)

Short Papers

  • Exploiting Intel Optane SSD for Microsoft SQL Server (Kan Wu, UW-Madison; Andrea Arpaci-Dusseau, UW-Madison; Remzi Arpaci-Dusseau, UW-Madison; Rathijit Sen, Microsoft; Kwanghyun Park, Microsoft)
  • On the Impact of Memory Allocation on High-Performance Query Processing (Dominik Durner, TUM; Viktor Leis, Friedrich Schiller University Jena; Thomas Neumann, TUM)
  • LSM Management on Computational Storage (Philippe Bonnet, IT Univ Copenhagen; Ivan Luiz Picoli, ITU Copenhagen; Pinar Tozun, ITU)
  • IPA-IDX: In-Place Appends for B-Tree Indices (Ilia Petrov, Reutlingen University; Sergej Hardock, TU Darmstadt; Andreas Koch, TU Darmstadt; Tobias Vincon, Reutlingen University)
  • Persistent Buffer Management with Optimistic Consistency (Lucas Lersch, TU Dresden; Wolfgang Lehner, TU Dresden; Ismail Oukid, SAP SE)
  • Relational Queries with a Tensor Processing Unit (Pedro Holanda, CWI; Hannes Mühleisen, CWI)
  • Freezing Frozen Pages with Multi-Stream SSDs (Hyunwoo Park, SungKyunKwan University; Soyee Choi, SungKyunKwan University; Mijin An, Sungkyunkwan University; Sang Won Lee, Sungkyunkwan University)
  • In situ Statistics Generation within partially reconfigurable Hardware Accelerators for Query Processing (Andreas Becher, Friedrich-Alexander-Universität Erlangen-Nürnberg; Jürgen Teich, Friedrich-Alexander-Universität Erlangen-Nürnberg)