Eleventh International Workshop on Data Management on New Hardware
(DaMoN 2015)
http://event.cwi.nl/damon2015/
Collocated with SIGMOD/PODS 2015
Melbourne, Australia
1 June 2015
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. Multi-socket machines with multi-core
CPUs, GPUs, FPGAs, new memory and storage technologies (such as flash and phase
change memory), and low-power hardware (common in e-health/IoT) 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, operating systems and storage 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
* data management using e-health devices
* novel application of new storage technologies to data management
* 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 evaluation of database workloads
Keynote
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The keynote this year will be given by Prof. Onur Mutlu from
Carnegie Mellon University (http://users.ece.cmu.edu/~omutlu/).
Important Dates (planned)
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* Paper submission: 13 March 2015
* Notification of acceptance: 10 April 2015
* Camera-ready copies: 4 May 2015
* Workshop: 1 June 2015
Workshop co-chairs
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Ippokratis Pandis, Cloudera
Martin Kersten, CWI
Program committee
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Shimin Chen, Chinese Academy of Sciences
Bingsheng He, Nanyang Technological University
Ryan Johnson, University of Toronto
Hideaki Kimura, HP Labs
Sang-Won Lee, Sungkyunkwan University
Wolfgang Lehner, TU Dresden
Justin Levandoski, Microsoft Research
Eric Lo, Hong Kong Polytechnic University
Rene Mueller, IBM Research - Almaden
Jignesh Patel, University of Wisconsin - Madison
Holger Pirk, CWI/MIT
Jens Teubner, TU Dortmund
Sponsors
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The following organizations are sponsoring DaMoN'15:
* ACM SIGMOD -- http://www.acm.org/sigmod
* Cloudera -- http://www.cloudera.com/
* MonetDB -- http://www.monetdb.com/
* Oracle Labs -- http://labs.oracle.com/
* SAP -- http://www.sap.com/corporate-en/about/our-company/innovation/labs/index.html