[hpc-announce] CFP: First Workshop on Architectures and Systems for Big Data (ASBD) - held in conjunction with PACT 2011

Anthony Hylick hylick at us.ibm.com
Tue Jul 19 18:56:50 CDT 2011

***We apologize if you receive multiple copies of this CFP***

First Workshop on Architectures and Systems for Big Data (ASBD 2011)

Held in conjunction with the 12th International Conference on
Parallel Architectures and Compilation Techniques (PACT)
October 10, 2011
Galveston Island, Texas.

Submissions deadline: August 10, 2011; Author notification: September 10,

Workshop Co-Organizers:
Evan Speight, IBM Research
Jian Li, IBM Research
Jichuan Chang, HP Labs

Publicity Chair:
Anthony Hylick, IBM Research

Program Committee:
Viraj N. Bhat, Yahoo!
Shimin Chen, Intel Labs & CMU
Alok N. Choudhary, Northwestern University
Peter Hofstee, IBM Research
Robert Hundt, Google
Christos Kozyrakis, Stanford University
Trevor Mudge, University of Michigan
Ling Qian, China Mobile Research Institute
Partha Ranganathan, HP Labs
Freeman Rawson, IBM Research
Ben Sigelman, Google
Dimitris Tsirogiannis, Microsoft Research
Chitra Venkatramani, IBM Research
Ben Yang, IBM Research
Lin Zhong, Rice University

Submission format: All papers should be submitted in PDF format, using 10
point or larger font for text (8 points or larger for figures and tables),
total length not to exceed 6 pages.

Submission website:
https://www.easychair.org/conferences/?conf=asbd2011 (opens April 15, 2011)

Data continue a massive expansion in scale, diversity, and complexity. Data
underpins activities in all sectors of society. As informatics is the
science of information, analytics is the science of data analysis.
Achieving the full transformative potential of big data in this
increasingly digital world requires both new data analysis algorithms and a
new class of systems and distributed computing environments to handle the
dramatic data growth, the lack of structure for much of it and the
increasing computational needs of massive-scale analytics.

We are pleased to request papers for presentation at the upcoming First
Workshop on Architectures and Systems for Big Data (ASBD 2011) held in
conjunction with PACT 2011. The workshop will provide a forum for the
exchange of research ideas related to all critical aspects of emerging
analytics systems including data management software, operating systems,
architecture support, and benchmarks and metrics. We hope to attract a
broad mix of researchers from academia, industry and funding agencies. To
encourage discussion between participants, the workshop will include
significant time for interactions between presenters and the audience. We
also plan to have a keynote speaker and/or panel session.

Topics of interest include but are not limited to:

• Scalable system and network designs for capturing large numbers of
concurrent data streams or high bandwidth data streaming
• Data management for vast amounts of unstructured data
• OS, distributed systems and system management support for very
large-scale analytics
• Debugging and performance analysis tools for analytics and data-intensive
• Programming systems and language support for deep analytics
• Map/reduce and other processing paradigms for analytics
• Processor, memory and system architectures for data analytics
• Benchmarks, metrics and workload characterization for analytics and
data-intensive computing
• Accelerators for analytics and data-intensive computing
• Implications of data analytics to mobile and embedded systems
• Energy-efficiency and energy-efficient designs for analytics
• Availability, fault tolerance and data recovery in large-scale
data-oriented environments

We encourage both industry and academic researchers to submit their
research. Preliminary results of interesting ideas and work-in-progress are
welcome. Submissions that are likely to generate vigorous discussion will
be favored!


Anthony Hylick, PhD
Research Staff Member
Workload-Optimized Systems Group
IBM Research, Austin Research Laboratory
11501 Burnet Road, Austin, TX 78758
P: +1 512.286.7291, T/L: 363.7291
F: +1 512.973.4253
E: hylick at us.ibm.com

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