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BPOE 2014 : The Fourth workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware


When Mar 1, 2014 - Mar 1, 2014
Where Salt Lake City, Utah, USA
Submission Deadline Jan 14, 2014
Notification Due Jan 25, 2014
Final Version Due Feb 17, 2014
Categories    big data   benchmarking   performance optimization,   emerging hardware

Call For Papers

Fourth Workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware (BPOE-4) Call for Papers (co-located with ASPLOS 2014 – Salt Lake City, Utah, USA)

**** Important Dates ****

Abstract submission deadline, December 31, 2013
Submission Deadline: Extended to January 14, 2014 (11:59pm PST)
Author Notification: January 25, 2014
Final Copy Due: February 17, 2014
Workshop: Saturday, March 1, 2014
Workshop home page:
Submission Web page:

Big data has emerged as a strategic property of nations and organizations. There are driving needs to generate values from big data. However, the sheer volume of big data requires significant storage capacity, transmission bandwidth, computations, and power consumption. It is expected that systems with unprecedented scales can resolve the problems caused by varieties of big data with daunting volumes. Nevertheless, it is very difficult for big data owners to make choice on which system is most suited for their specific requirements. They also face challenges on how to optimize the systems and their solutions. Meanwhile, system researchers are working on new hardware architecture, operating systems, programming systems, and data management systems to improve performance in dealing with big data.

This workshop, the fourth in its series, aims at bringing researchers and practitioners in related areas together to discuss the research issues at the intersection of these areas, and also to draw much attention from architecture, systems, programming, and data management research communities to this new and highly promising field.


The workshop seeks papers that address hot topic issues in benchmarking, designing and optimizing big data systems. Early stage work, new ideas, unconventional approaches are encouraged. Specific topics of interest include but are not limited to:
 Big data workload characterization and benchmarking
 Innovative computer and memory architecture for big data
 Emerging hardware technologies in big data systems
 Innovative operating systems and programming systems for big data
 Interactions among architecture, systems and data management
 Performance analysis and optimization of big data systems
 Innovative prototypes of big data infrastructures
 Practice report of evaluating and optimizing large-scale big data systems

Papers should present original research. As big data spans many disciplines, papers should provide sufficient background material to make them accessible to the broader community.


Papers must be submitted in PDF, and be no more than 6 pages in standard two-column SIGPLAN conference format including figures and tables but not including references. The submissions will be judged based on the merit of the ideas rather than the length. Submissions must be made through the on-line submission site. Final papers and presentations will be accessible from the workshop website, but to facilitate resubmission to more formal venues, no archival proceedings will be published, and papers will not be sent to the ACM Digital Library.


Steering committee:

Christos Kozyrakis, Stanford
Xiaofang Zhou, University of Queensland
Dhabaleswar K Panda, Ohio State University
Aoying Zhou, East China Normal University
Raghunath Nambiar, Cisco
Lizy K John, University of Texas at Austin
Xiaoyong Du, Renmin University of China
Ippokratis Pandis, IBM Almaden Research Center
Xueqi Cheng, ICT, Chinese Academy of Sciences
Bill Jia, Facebook
Lidong Zhou, Microsoft Research Asia
H. Peter Hofstee, IBM Austin Research Laboratory
Haibo Chen, Shanghai Jiaotong University
Alexandros Labrinidis, University of Pittsburgh
Cheng-Zhong Xu, Wayne State University
Jianfeng Zhan, ICT, Chinese Academy of Sciences

Program Chair:

Jianfeng Zhan, ICT, Chinese Academy of Sciences
Chuliang Weng, Shannon (IT) Lab, Huawei

Web Chair:

Lei Wang, ICT, Chinese Academy of Sciences

Publicity Chairs:

Yuqing Zhu (Data management), ICT, CAS
Gang Lu (Operating systems), ICT, CAS
Zhen Jia (Architecture), ICT, CAS

Program Committee:

Onur Mutlu, Carnegie Mellon University
Xu Liu, Rice University
Yunquan Zhang, ICT, Chinese Academy of Sciences
Meikel Poess, Oracle Corporation
Dejun Jiang, ICT, Chinese Academy of Sciences
Yueguo Chen, Renmin University
Rene Mueller, IBM
Xiaoyi Lu, Ohio State University
Yongqiang He, Dropbox
Edwin Sha, University of Texas at Dallas
Kun Wang, IBM Research China
Rong Chen, Shanghai Jiaotong University
Jens Teubner, Tu Dortmund University
Mauricio Breternitz, AMD Research
Seetharami Seelam, IBM
Farhan Tauheed, EPFL
Gansha Wu, Intel
Bingsheng He, Nanyang Technological University
Zhibin Yu, SIAT, Chinese Academy of Sciences
Lei Wang, ICT, Chinese Academy of Sciences
Yuanchun Zhou, CNIC, Chinese Academy of Sciences
Tilmann Rabl, University of Toronto
Weijia Xu, TACC, University of Texas at Austin

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