.: News

- May 29, 2012: Talk slides are posted on the workshop program page.

- May 21, 2012: DaMoN 2012 proceedings is online. Links to individual papers are also available in the workshop program.

- May 14, 2012: Detailed information about the keynote is online.

- Apr 19, 2012: Workshop program is online.

- Apr 19, 2012: The keynote speaker will be Prof. Steven Swanson from University of California, San Diego.

- Apr 19, 2012: List of accepted papers is announced.

- Mar 20, 2012: As per author request, the final paper submission deadline is extended to Mar 26 Monday 6:00AM PST. Note that you will have to submit a version of your paper by Mar 22 Thursday 5:00pm PST the original deadline. Between Mar 22 and Mar 26, you can update your submission in the CMT site. Notification and camera-ready deadlines will be adjusted accordingly.

- Mar 2, 2012: The submission site is open at: submission site.

- Feb 24, 2012: HP Labs will sponsor the workshop.

- Dec 14, 2011: The web site is updated with important dates.

- Sept 27, 2011: 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 maximizing performance transparently to applications. 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
  • 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

  • Shimin Chen, HP Labs China (shimin.chen@hp.com)
  • Stavros Harizopoulos, Nou Data (stavros@noudata.com)

.: Program Committee

  • Phil Gibbons (Intel Labs)
  • Nikos Hardavellas (Northwestern University)
  • Qiong Luo (Hong Kong University of Science and Technology)
  • Ryan Johnson (University of Toronto)
  • Bongki Moon (University of Arizona)
  • Ippokratis Pandis (IBM Research)
  • Kenneth Ross (Columbia University)
  • Eric Sedlar (Oracle Labs)