DaMoN 2008 Logo

Fourth International Workshop on
Data Management on New Hardware
(DaMoN 2008)

Vancouver, Canada

June 13, 2008

Colocated with


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

Important Dates

Submission Deadline:
 April 11, 2008
 5:00pm PST
 May 2, 2008
Camera-Ready Due:
 May 16, 2008
 5:00pm PST
 June 13, 2008

.: News

- Jun 24, 2008: The powerpoint slides of Prof. Keshav Pingali's keynote talk is put online.

-Jun 13, 2008: The workshop is in Salon A. Breakfast is provided at 8-8:30 and lunch 12-13:15.

- Jun 12, 2008: Electronic proceedings is online. You can also check out individual papers under Accepted Papers.

- Jun 6, 2008: Keynote talk information is available.

- Jun 1, 2008: Workshop program is posted.

- May 10, 2008: Prof. Keshav Pingali will give a keynote talk at DaMoN'08.

- May 3, 2008: Accepted papers are announced and camera-ready instructions are provided.

- Apr 8, 2008: Submission instructions are updated to allow the inclusion of a clearly marked appendix beyond the 6 pages of submission.

- Nov 27, 2007: 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. 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:

  • 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

.: Important Dates

  • Paper submission: April 11, 2008
  • Notification of acceptance: May 2, 2008
  • Camera-ready copies: May 16, 2008
  • Workshop: June 13, 2008

.: Workshop Co-Chairs

  • Kenneth Ross, Columbia University (kar@cs.columbia.edu)
  • Qiong Luo, HKUST (luo@cse.ust.hk)

.: Program Committee

  • Anastasia Ailamaki (Carnegie Mellon University)
  • Bishwaranjan Bhattacharjee (IBM Research)
  • Peter Boncz (CWI Amsterdam)
  • Shimin Chen (Intel Research)
  • Goetz Graefe (HP Labs)
  • Stavros Harizopoulos (HP Labs)
  • Martin Kersten (CWI Amsterdam)
  • Bongki Moon (University of Arizona)
  • Jun Rao (IBM Research)
  • Jingren Zhou (Microsoft Research)

Call for Papers | Registration | Submission Instructions | Camera-Ready Instructions | Accepted Papers | Program | Previous Offerings | Sponsors