Fourth Workshop on Architectures and Systems for Big Data (ASBD 2014)

Call for Papers
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Fourth Workshop on Architectures and Systems for Big Data (ASBD 2014)

? ? ? ? ? ? ? ?   http://acs.ict.ac.cn/asbd2014/


? ? ? ? ? ? ? ?June 14, 2014, Minneapolis, MN, USA
Held in conjunction with The 41st International Symposium on Computer Architecture (ISCA 2014)


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? ? ? ? ? Paper Submission Deadline: April 11, 2014
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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:
* Processor, memory and system architectures for data analytics
* Benchmarks, metrics and workload characterization for big data
* 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 big data environments
* Scalable system and network designs for high concurrency/bandwidth streaming
* Data management and analytics for vast amounts of unstructured data
* Evaluation tools, methodologies and workload synthesis
* OS, distributed systems and system management support for large-scale analytics
* Debugging and performance analysis tools for analytics and big data
* Programming systems and language support for deep analytics
* MapReduce and other processing paradigms for analytics




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? ? ? ? ? Organizers and?Program Committees
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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


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


Steering Committee:

Jian Li, IBM Research
Jichuan Chang, HP Labs
Evan Speight, IBM Research