The Seventh Workshop on Architectures and Systems For Big Data

( ASBD 2017 )

Held in conjunction with The 44th International Symposium on Computer Architecture (ISCA 2017)

June 24, 2017
  Toronto, Canada

Submissions deadline: May 16, 2017
            Author notification: June 06, 2017


Call for papers

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 seventh Workshop on Architectures and Systems for Big Data (ASBD 2017) held in conjunction with ISCA-44. 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:
  1. Processor, memory and system architectures for data analytics

  2. Benchmarks, metrics and workload characterization for big data

  3. Accelerators for analytics and data-intensive computing

  4. Heterogeneous computing and heterogeneous system architecture 

  5. Implications of data analytics to mobile and embedded systems

  6. Energy efficiency and energy-efficient designs for analytics

  7. Availability, fault tolerance and data recovery in big data environments

  8. Scalable system and network designs for high concurrency/bandwidth streaming

  9. Data management and analytics for vast amounts of unstructured data

  10. Evaluation tools, methodologies and workload synthesis

  11. OS, distributed systems and system management support for large-scale analytics

  12. Debugging and performance analysis tools for analytics and big data

  13. Programming systems and language support for deep analytics

  14. MapReduce 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.

  Paper Submission :

Preliminary Program

To Be Announced


Program Co-Chairs:

Christina Delimitrou (Cornell University)

Yuhang Liu, ICT/CAS China

Program Committee:

- Tom Wenisch (Michigan University)

- José Martinez (Cornell University)

- Daniel Sanchez (MIT University)

- Eric Chung (Microsoft)

- David Meisner (Facebook)

- Heiner Litz (Google)

- Jana Giceva (ETH)

Important Dates
          Submissions deadline: May 16, 2017
          Author notification: June 06, 2017
                     Prior Workshops:

                        ASBD 2016              
                            ASBD 2015              
                            ASBD 2014              
                            ASBD 2013              
                            ASBD 2012              
                            ASBD 2011