DaMoN 2005 Logo

First International Workshop on
Data Management on New Hardware
(DaMoN 2005)

Baltimore, Maryland

June 12, 2005

Colocated with ACM SIGMOD/PODS 2005

Sponsored by sigmod

» Call for Papers
Submission Instructions
Camera-Ready Instructions
Accepted Papers
Workshop Program

Important Dates

Submission Deadline:
» 30 March 2005
» 6 May 2005
Camera-Ready Due:
» 16 May 2005
» 12 June 2005

.: 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. CPUs with superscalar out-of-order execution, simultaneous multi-threading, multi-level memory hierarchies, and future storage hardware (such as MEMS) 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:

  • database algorithms and data structures on modern hardware
  • 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
  • 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

.: Important Dates

  • Paper submission: 30 March 2005
  • Notification of acceptance: 6 May 2005
  • Camera-ready copies: 16 May 2005
  • Workshop: 12 June 2005

.: Workshop Co-Chairs

  • Anastassia Ailamaki, Carnegie Mellon University (natassa@cmu.edu)
  • Peter Boncz, CWI Amsterdam (boncz@cwi.nl)
  • Stefan Manegold, CWI Amsterdam (manegold@cwi.nl)

.: Program Committee

  • Philippe Bonnet (University of Copenhagen)
  • Phil Gibbons (Intel Research)
  • Martin Kersten (CWI Amsterdam)
  • Josep.-L. Larriba-Pey (University of Catalonia, Spain)
  • Paul Larson (Microsoft Research)
  • Jeff Naughton (University of Wisconsin - Madison)
  • Jignesh Patel (University of Michigan)
  • Keshav Pingali (Cornell University)
  • Ken Ross (Columbia University)

.: Web Chair

  • Kun Gao, Carnegie Mellon University (kgao@cs.cmu.edu)

.: Contact

  • Please e-mail DaMoN2005@cs.cmu.edu

Call for Papers | Registration | Submission Instructions | Camera-Ready Instructions | Accepted Papers | Program | Acknowledgments