[Storage-research-list] [CFP] Big Data Analytics Workshop (BigDAW 2020)

[Minutoli, Marco]

[Apologies if you receive multiple copies of this message]
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              BIG DATA ANALYTICS WORKSHOP (BIGDAW 2020)
           Co-Located with the ACM International Conference
                     on Computing Frontiers 2021
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                               May 2021


1 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 benchmark 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).
 + 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.
 + Innovative algorithmic techniques.
 + Novel computer architecture design in support of Big Data Analytics
   workflows: including micro and system level design, accelerators,
   custom processors and reconfigurable computing.


2 Important Dates
=================

 + Position or full paper submission: February 28, 2021
 + Notification: March 20, 2021
 + Camera-ready: Marrch 25, 2021


3 Submissions
=============

 + Submissions site:
   <https://easychair.org/conferences/?conf=bigdaw2020>

 Authors can submit two types of papers: extended abstracts (2 pages,
 excluding references) and regular papers (up to 6 pages, including
 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>


4 Organizers
============

 + John Feo, Workshop Co-Chair, (PNNL), john.feo at pnnl.gov
 + Marco Minutoli, Workshop Co-Chair, (PNNL), marco.minutoli at pnnl.gov
 + Omer Subashi, Publicity Chair, (PNNL), omer.subashi at pnnl.gov
 + Sumit Purohit, Virtual Meeting Chair, (PNNL), sumit.purohit at pnnl.gov


5 Program Committee
===================

 + Fabrizio Ferrandi, Politecnico di Milano
 + Fabrizio Petrini, Intel
 + Maurizio Drocco, IBM
 + Omer Subashi, Pacific Northwest National Laboratory
 + Sumit Purohit, Pacific Northwest National Laboratory
 + Ananth Kalyanaraman, Washington State University
 + Ivy Peng, Lawrence Livermore National Laboratory
 + Alex Fender, NVIDIA
 + Kasia Swirydowicz, Pacific Northwest National Laboratory
 + Anil Vullikanti, University of Virginia
 + Other members TBD