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                   CALL FOR PARTICIPATION

	     List of accepted Papers available at
          http://www.cse.ust.hk/damon2008/papers.html

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

			June 13, 2008
		Colocated with ACM SIGMOD/PODS 2008
 
	
	  http://www.cse.ust.hk/damon2008/ 
 

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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. 

.: Motivation
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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, 
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.



.: Topics of Interest 

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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 

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



.: Workshop Co-Chairs 

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



.: Program Committee 

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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)