Ninth International Workshop on Data Management on New Hardware
(DaMoN 2013)

Colocated with SIGMOD/PODS 2013
New York, New York, USA, 24 Jun 2013
http://www.cs.toronto.edu/damon2013/

Important Dates
-----------------

* Paper registration: 14 Mar 2013
* Paper submission: 21 Mar 2013
* Notification of acceptance: 26 Apr 2013
* Camera ready: 17 May 2013
* Workshop: 24 Jun 2013

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 passing maximum performance
to applications in transparent fashion. 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
modern memory hierarchies

* hardware systems for query processing

* data management using co-processors

* query processing using computing power in
storage systems

* implications and novel applications of new
storage technologies (flash, PCM, etc.) for
data management.

* 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
--------------------

Ryan Johnson, University of Toronto (rjohnson@cs.utoronto.ca)
Alfons Kemper, TU-M�nchen (kemper@in.tum.de)

Program committee
-------------------

Shimin Chen (HP Labs China)
Martin Kersten (CWI)
Wolfgan Lehner (TU-Dresden)
Qiong Luo (HKUST)
C. Mohan (IBM Almaden)
Ren� M�ller (IBM Almaden)
Jignesh Patel (Wisconsin)
Eric Sedlar (Oracle)
Jens Teubner (ETH Zurich)