[Storage-research-list] [CFP] BigDAW Workshop in Computing Frontiers

[Minutoli, Marco]

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               BIG DATA ANALYTICS WORKSHOP (BIGDAW 2022)
            Co-Located with the ACM International Conference
                      on Computing Frontiers 2022
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                              18 May 2021





Call For Papers
===============

  Data analytics is transforming the world of science, health, commerce,
  defense, and social activities. Complex scientific and human systems
  are being designed, managed, and optimized using first-principles
  simulations, data science, machine learning, and graph methods. Many
  real-world analytic workloads are a mix of algorithms and data types
  best supported by different programming and parallel execution models.
  The composability of models and the capability of computer systems to
  efficiently and transparently support the diverse model is key to
  achieving performance and productivity requirements of emerging
  real-world uses.

  This workshop seeks paper on mixed data analytic workflows,
  algorithms, composability, optimizations, programming environments,
  hardware designs, and benchmarking studies. Besides regular papers,
  extended abstracts papers describing innovative ideas related to the
  workshop theme are also encouraged. Topics of interest, of both
  theoretical and practical significance, include but are not limited
  to:

  + Applications and workflows integrating scientific simulation, data
    analytics, and learning.
  + Libraries, Runtime systems and programming models in support for Big
    Data Analytics workflows.
  + Data Structures and Algorithms supporting hybrid data models (e.g.,
    Graphs and Tables and Attributed Graphs) and Machine Learning.
  + Machine Learning and Combinatorial Optimization algorithms.
  + Approaches for managing massive unstructured datasets (including
    graph databases and solutions combining learning approaches with
    graph analytics).
  + Explainable AI and Fairness in algorithms.
  + Novel computer architecture design in support of Big Data Analytics
    workflows: including micro and system level design, accelerators,
    custom processors and reconfigurable computing.


Important Dates
===============

  + Position or full paper submission: March 6, 2022
  + Notification: March 28, 2022
  + Camera-ready: April 4, 2022


Submissions
===========

  + Submissions site:
    <https://easychair.org/conferences/?conf=bigdaw2022>

  Authors can submit two types of papers: extended abstracts (2 pages,
  excluding references) and regular papers (up to 6 pages, excluding
  references). All submissions must be single-spaced double-column pages
  in ACM format.

  The templates are available at:
  <https://www.acm.org/publications/proceedings-template>


Organizers
==========

  + John Feo, Workshop Co-Chair, (PNNL), john.feo at pnnl.gov<mailto:john.feo at pnnl.gov>
  + Marco Minutoli, Workshop Co-Chair, (PNNL), marco.minutoli at pnnl.gov<mailto:marco.minutoli at pnnl.gov>


Program Committee
=================

  + Ritu Arora, University of Texas at San Antonio
  + David Bader, New Jersey Institute of Technology
  + Suren Byna, Lawrence Berkeley National Laboratory
  + Umit Catalyurek, Georgia Tech
  + Barbara Pernici, Politecnico di Milano

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