.: News
  • Jun 11, 2015: The proceedings of DaMoN 2015 can be found here
  • Jun 02, 2015: Slides of the keynote are uploaded here
  • May 20, 2015: The workshop program is posted
  • May 06, 2015: List of accepted papers published
  • Mar 31, 2015: Changed camera-ready paper deadline to May 10, 2015
  • Mar 31, 2015: Changed notification of acceptance date to Apr 17, 2015
  • Mar 20, 2015: The new submission deadline is March 25, 2015
  • Jan 21, 2015: Keynote speaker announced
  • Oct 30, 2014: Program committee announced
  • Oct 28, 2014: SAP, Oracle, Cloudera and MonetDB are sponsoring DaMoN 2015!
  • Sep 12, 2014: The web site is up

.: Objective

The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on modern computing infrastructure by designing new data management techniques and tools.

.: Topics of Interest

The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional database architectures that focus solely on I/O optimization increasingly fail to utilize hardware resources efficiently. Multi-core CPUs, GPUs, new memory and storage technologies (such as flash and phase change memory), and low-power hardware impose a great challenge to optimizing database performance. Consequently, exploiting the characteristics of modern hardware has become an important topic of database systems research.

The goal is to make database systems adapt automatically to the sophisticated hardware characteristics, thus passing maximum performance to applications in transparent fashion. To achieve this goal, the data management community needs interdisciplinary collaboration with computer architecture, compiler and operating systems researchers. This involves rethinking traditional data structures, query processing algorithms, and database software architectures to adapt to the advances in the underlying hardware infrastructure.

We seek submissions bridging the area of database systems to computer architecture, compilers, and operating systems. In particular, submissions covering topics from the following non-exclusive list are encouraged:

  • cost models and query optimization for novel hierarchical memory systems
  • hardware systems for query processing
  • data management using co-processors
  • query processing using computing power in storage systems
  • novel application of new storage technologies (flash, PCM, etc.) to data management
  • database architectures for low-power computing and embedded devices
  • database architectures on multi-threaded and chip multiprocessors
  • database performance analysis, algorithms, and data structures on modern hardware
  • databases and transactional memory systems
  • performance analysis of database workloads on modern hardware
  • compiler and operating systems advances to improve database performance
  • new benchmarks for microarchitectural evaluation of database workloads

.: Workshop Co-Chairs

.: Program Committee
  • Shimin Chen, Chinese Academy of Sciences
  • Bingsheng He, Nanyang Technological University
  • Ryan Johnson, University of Toronto
  • Hideaki Kimura, HP Labs
  • Sang-Won Lee, Sungkyunkwan University, Korea
  • Wolfgang Lehner, TU Dresden
  • Justin Levandoski , Microsoft Research
  • Eric Lo, Hong Kong Polytechnic University
  • Rene Mueller, IBM Research - Almaden
  • Jignesh Patel, University of Wisconsin - Madison
  • Holger Pirk, CWI/MIT
  • Jens Teubner, TU Dortmund

.: Webmaster