Fourth Workshop on Architectures and Systems for Big Data ( ASBD 2014 )
Held in conjunction with The 41st International Symposium on Computer Architecture (ISCA 2014)
June 14, 2014
Minneapolis, MN, USA
The term "Big Data" refers to the continuing massive expansion in the data volume and diversity as well as the speed and complexity of data processing. The use of big data underpins critical activities in all sectors of our society. 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 to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive-scale analytics.
We are pleased to request papers for presentation at the upcoming Fourth Workshop on Architectures and Systems for Big Data (ASBD 2014) held in conjunction with ISCA-41. The workshop will provide a forum to exchange research ideas related to all critical aspects of emerging analytics systems for big data, including architectural support, benchmarks and metrics, data management software, operating systems, and emerging challenges and opportunities. We hope to attract a group of interdisciplinary researchers from academia, industry and government research labs. To encourage discussion between participants, the workshop will include significant time for interactions between the 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:
oProcessor, memory and system architectures for data analytics
oBenchmarks, metrics and workload characterization for big data
oAccelerators for analytics and data-intensive computing
oImplications of data analytics to mobile and embedded systems
oEnergy efficiency and energy-efficient designs for analytics
oAvailability, fault tolerance and data recovery in big data environments
oScalable system and network designs for high concurrency/bandwidth streaming
oData management and analytics for vast amounts of unstructured data
oEvaluation tools, methodologies and workload synthesis
oOS, distributed systems and system management support for large-scale analytics
oDebugging and performance analysis tools for analytics and big data
oProgramming systems and language support for deep analytics
oMapReduce and other processing paradigms for analytics
We encourage researchers from all institutions to submit their work for review. Preliminary results of interesting ideas and work-in-progress are welcome. Submissions that are likely to generate vigorous discussion will be favored!
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.
Workshop Co-Organizers:
Lixin Zhang, ICT/CAS China
Xiufeng Sui, ICT/CAS China
Program Co-Chairs:
Christos Kozyrakis, Stanford University USA
Yungang Bao, ICT/CAS China
Steering Committee:
Jian Li, IBM Research
Jichuan Chang, HP Labs
Evan Speight, IBM Research
Important Dates
Submissions deadline: March 31, 2014
Author notification: April 30, 2014
Program Committee:
Boris Grot, University of Edinburgh
Changkyu Kim, Google
Christopher Hughes, Intel
Dejun Jiang, ICT,CAS
Eric Chung, Microsoft Research
Hassan Chafi, Oracle/Stanford
H. Peter Hofstee, IBM
Jishen Zhao, HP Lab
Robert Hundt, Google
Shiding Lin, Baidu
Xiangyu Dong, Qualcomm
Yuan Xie, PSU/AMD
Website: http://acs.ict.ac.cn/asbd2014/
Held in conjunction with The 41st International Symposium on Computer Architecture (ISCA 2014)
June 14, 2014
Minneapolis, MN, USA
The term "Big Data" refers to the continuing massive expansion in the data volume and diversity as well as the speed and complexity of data processing. The use of big data underpins critical activities in all sectors of our society. 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 to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive-scale analytics.
We are pleased to request papers for presentation at the upcoming Fourth Workshop on Architectures and Systems for Big Data (ASBD 2014) held in conjunction with ISCA-41. The workshop will provide a forum to exchange research ideas related to all critical aspects of emerging analytics systems for big data, including architectural support, benchmarks and metrics, data management software, operating systems, and emerging challenges and opportunities. We hope to attract a group of interdisciplinary researchers from academia, industry and government research labs. To encourage discussion between participants, the workshop will include significant time for interactions between the 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:
oProcessor, memory and system architectures for data analytics
oBenchmarks, metrics and workload characterization for big data
oAccelerators for analytics and data-intensive computing
oImplications of data analytics to mobile and embedded systems
oEnergy efficiency and energy-efficient designs for analytics
oAvailability, fault tolerance and data recovery in big data environments
oScalable system and network designs for high concurrency/bandwidth streaming
oData management and analytics for vast amounts of unstructured data
oEvaluation tools, methodologies and workload synthesis
oOS, distributed systems and system management support for large-scale analytics
oDebugging and performance analysis tools for analytics and big data
oProgramming systems and language support for deep analytics
oMapReduce and other processing paradigms for analytics
We encourage researchers from all institutions to submit their work for review. Preliminary results of interesting ideas and work-in-progress are welcome. Submissions that are likely to generate vigorous discussion will be favored!
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.
Workshop Co-Organizers:
Lixin Zhang, ICT/CAS China
Xiufeng Sui, ICT/CAS China
Program Co-Chairs:
Christos Kozyrakis, Stanford University USA
Yungang Bao, ICT/CAS China
Steering Committee:
Jian Li, IBM Research
Jichuan Chang, HP Labs
Evan Speight, IBM Research
Important Dates
Submissions deadline: March 31, 2014
Author notification: April 30, 2014
Program Committee:
Boris Grot, University of Edinburgh
Changkyu Kim, Google
Christopher Hughes, Intel
Dejun Jiang, ICT,CAS
Eric Chung, Microsoft Research
Hassan Chafi, Oracle/Stanford
H. Peter Hofstee, IBM
Jishen Zhao, HP Lab
Robert Hundt, Google
Shiding Lin, Baidu
Xiangyu Dong, Qualcomm
Yuan Xie, PSU/AMD
Website: http://acs.ict.ac.cn/asbd2014/
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