[hpc-announce] [Deadline extended: Jan 29, 2021] BID 2021 - Benchmarking in the Data Center: Expanding to the Cloud Workshop (held in conjunction with PPoPP'21)

[Kevin Brown]

CALL FOR PAPER: Full papers and short papers

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3rd Workshop on Benchmarking in the Data Center: Expanding to the Cloud
Workshop (BID 2021)
All-virtual, 28 February 2021 7:00 am KST
(Held in conjunction with PPoPP21)

Submission deadline: 29 January 2021 AoE (EXTENDED)
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URL: https://parallel.computer/


WORKSHOP SCOPE AND TOPIC

High performance computing (HPC) is no longer confined to universities and
national research laboratories, it is increasingly used in industry and in
the cloud. Users need to be able to evaluate what benefits HPC can bring to
their companies, what type of computational resources would be best for
their workloads and how they can evaluate what they should pay for these
resources. Recent general adoption of machine learning has motivated
migration of HPC workloads to cloud data centers, and there is a growing
interest by the community in performance evaluation in this area,
especially for end-to-end workflows. Benchmarking has typically involved
running specific workloads that are reflective of typical HPC workloads,
yet with the growing diversity of workloads, theoretical performance
modeling is also of interest to allow for performance prediction given a
minimal set of measurements. The workshop will be composed of submitted
papers, invited talks, and a panel composed of representatives from the
industry.

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Topics
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We invite novel, unpublished research paper submission within the scope of
this workshop. Paper submission topics include, but are not limited to, the
following areas:
 * Multi-, many-core CPUs, GPUs, hybrid system evaluation
 * Performance, power, efficiency, and cost analysis
 * HPC, data center, and cloud workloads and benchmarks
 * System, workload, and workflow configuration and optimization


SUBMISSIONS

Full paper: Up to 10 pages (not including references)
Short paper: Up to 5 pages (including references)

All submissions must be made electronically through the submission site in
PDF format, printable on both A4 and US letter size paper. All papers must
be prepared in ACM Conference Format using the 2-column acmart format: use
the SIGPLAN proceedings template acmart-sigplanproc-template.tex for Latex,
and interim-layout.docx for Word. You may also want to consult the official
ACM information on the Master Article Template and related tools. Important
note: The Word template (interim-layout.docx) on the ACM website uses 9pt
font; you need to increase it to 10pt.

Paper text typeface should be no smaller than 10 point. References must
include the name of all authors (not {et al.}), and there is no page limit
for references in full paper submissions. Appendices are not allowed, but
the authors may provide supplementary material (proofs or source code etc.)
to the Program Chairs. Review of supplementary material is at the
discretion of the reviewers; papers must be complete and self-contained.

Submission is double blind and authors will need to identify any potential
conflicts of interest with PC and Extended Review Committee members, as
defined here: http://www.sigplan.org/Resources/Policies/Review/ (ACM
SIGPLAN policy).

* Submission site: https://easychair.org/conferences/?conf=bid2021


PROCEEDINGS

All accepted papers will be indexed and published in the ACM Digital
Library after the workshop.


SCHEDULE

 * Submission deadline:  29 January 2021 AoE (EXTENDED)
 * Author notification:  12 February 2021
 * Workshop date:   28 February 2021, 7:00 am KST



ORGANIZING COMMITTEE

Workshop Chairs
* Juan (Jenny) Chen (National University of Defense Technology, China)
* Kevin Brown (Argonne National Laboratory, USA)
Contact: chairs2021 at parallel.computer

Industrial Panel Chairs
* Ammar Awan (Microsoft Research, USA)
* Shahzeb Siddiqui (Lawrence Berkeley National Laboratory, USA)
Contact: panel2021 at parallel.computer


Program Committee
* To be announced.

Web
* Xinxin (Alva) Qi (National University of Defense Technology, China)

Advisory Committee
* Samar Aseeri (King Abdullah University of Science and Technology, Saudi
Arabia)
* Guo Liang (Open Data Center Committee and China Academy of Information
and Communications Technology, China)
* Benson Muite (Kichakato Kizito, Kenya)


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Kevin A. Brown, PhD
Leadership Computing Facility (LCF)
Argonne National Laboratory
kabrown at anl.gov