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CALL FOR PAPERS

Seventh International Workshop on Data Management on New Hardware
(DaMoN 2011)
Sponsored by and Held in Conjunction with SIGMOD/PODS 2011

Athens, Greece
Jun 13, 2011

http://www.cse.ust.hk/damon2011

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Objective
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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
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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, many-core, simultaneous multi-threading, multi-level
memory hierarchies, flash storage and other future storage hardware (such as
PCM) 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
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* Paper submission: 30 March 2011
* Notification of acceptance: 20 April 2011
* Camera-ready copies: 10 May 2011
* Workshop: 13 June 2011


Workshop Co-Chairs
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* Stavros Harizopoulos, HP Labs (stavros@hp.com)
* Qiong Luo, HKUST (luo@cse.ust.hk)


Program Committee
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* Peter Boncz (CWI Amsterdam)
* Shimin Chen (Intel)
* Goetz Graefe (HP Labs)
* Ryan Johnson (University of Toronto)
* Christian Lang (IBM)
* Kenneth Ross (Columbia University)
* Jens Teubner (ETH Zurich)
* Dimitris Tsirogiannis (Microsoft)


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