[hpc-announce] Final Call for Papers (3/29 AoE): HEART2022 (12th Highly Efficient Accelerators and Reconfigurable Technologies)

yoshiki yoshiki at cs.tsukuba.ac.jp
Fri Mar 18 03:10:34 CDT 2022


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*** Submission Deadline Extended to March 29 ***
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HEART2022  ( https://heart2022.lila.cs.tsukuba.ac.jp/ )
  International Symposium on
  Highly Efficient Accelerators and Reconfigurable Technologies
  9th-10th June 2022 @ Tsukuba, JP
(hybrid symposium in person and online)

HEART2022 is a forum to present and discuss new research
on all aspects of accelerator technologies that improve
power- or energy-efficiency of computing systems.

* Important Dates and Deadlines
March 29, 2022 AOE: Submission deadline of regular papers (Extended, 
Final)
April 1,  2022 AOE: Submission deadline of special session papers
April 25, 2022    : Notification of regular papers
April 28, 2022    : Notification of special session papers
June 9-10th, 2022 : Conference dates

* Submission link:
https://heart2022.lila.cs.tsukuba.ac.jp/heart2022/submission


* Invited Keynote Lecture
   (This presentation is related to high-efficiency supercomputing.)
    Dr. Mitsuhisa Sato
    Deputy Director, RIKEN Center for Computational Science

* Special Lecture
   (This presentation is related to CMOS Emerging Technology)
    Dr. Hao YU
    Professor, Southern University of Science and Technology

*  Invited Industrial Talk
    Atom switch technology for energy efficient electronics
    Dr. Toshitsugu Sakamoto
    Co-Founder / CTO, Nano Bridge Semiconductor, Inc.


* New in 2022: Special Session on Efficiency-Driven Computing

To advance the frontier in power- and energy-efficient computing,
HEART 2022 will organize a special session dedicated to works that can
quantitatively demonstrate software, hardware and/or architectural
techniques that improve the efficiency of computer systems by meeting
the following criteria: Given a baseline system B and an accelerated
system A, let perf_A, eff_A, perf_B, eff_B be the performance (higher
is better) and power- or energy-efficiency of A and B respectively,
then this special session seeks submissions that demonstrate:

eff_A > eff_B; and
perf_A >= perf_B x 0.8

Criteria 1 specifies that the overarching evaluation criteria for this
special session are efficiency improvement.  In addition, Criteria 2
specifies that while achieving speedup is usually a desirable feature
for an accelerated system, for the purpose of this special session, if
the authors can demonstrate efficiency improvement in the resulting
system A, then A may be up to 20% slower than B as a tradeoff.

Submission to this special session includes 2 parts:

- An 8-page technical paper describing research contributions.
- A 1-page summary describing quantitatively the measured power and
performance of the target system.

See the conference website for more details.  Submissions to the
special session are single-blinded.  Papers submitted to this special
session will undergo a peer-review process to evaluate their technical
contributions, which must contain at least 30% beyond previously
published work.  An award will be given to the submission that
demonstrates the most increase in efficiency in this session.


*Main Research Track

Following its tradition, HEART 2022 will continue to focus on high
efficiency as a cross-cutting issue and seeks contributions for the
main research track in, but not limited to, the following areas:

** Architectures for Efficient Acceleration

Novel systems/platforms based on FPGA, GPU, and other devices
Heterogeneous processor architectures and systems for high-performance
and/or low-power
Domain-specific architectures

** Design Methods and Tools for Efficient Acceleration

Programming paradigms, languages, and frameworks
High-level synthesis and compilers
Runtime methodologies for heterogeneous systems
Performance evaluation and analysis

** Applications and Systems

Application examples that benefit from efficient acceleration to a great
extent
Complete systems demonstrating increased energy efficiency and/or
performance
Comparisons between accelerator technologies


*Submission Guidelines (Format and Anonymity)

Prospective authors are invited to submit original contributions as
12-page papers without references to be considered regular papers or
8-page papers without references to be considered special session
papers. HEART2022 adopt a double-blind review process, authors should
not identify themselves, so author names, affiliations, e-mail
addresses, and self-references should be blanked out. All
contributions must be submitted electronically in PDF format according
to the ACM proceedings style.

Word:
https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx
LaTex:
https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip
Overleaf:
https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary-article-template/wbvnghjbzwpc

Each accepted paper MUST have at least one author with a regular
registration for the manuscript to be included and published in the
proceedings. Authors are also expected to present their paper(s) at
the HEART2022 symposium.


*Ph.D. Forum

Ph.D. students working in areas relevant to HEART 2022 are solicited
to submit an extended abstract of up to 4 pages (including references)
comprising a summary of their research findings, work in progress,
and/or planned research—the Ph.D. Forum is intended as a platform for
Ph.D. students to interact with peers and experienced researchers. The
Ph.D. forum will be organized as a virtual poster session and include
a 5 minutes oral introduction by each student. The Ph.D. student
should be the first author; thesis advisors may be coauthors. The
technical program committee will review submissions to ensure quality
and relevance. Authors of accepted submissions are expected to attend
HEART 2022 and present their posters. The accepted extended abstracts
will also appear in the conference proceedings.


*Program Committee

Jason Anderson, University of Toronto
Nick Brown, The University of Edinburgh
Joao Cardoso, University of Porto
Paul Chow, University of Toronto
Oliver Diessel, University of New South Wales
Marco Domenico Santambrogio, Politecnico di Milano
Iman Firmansyah, National Research and Innovation Agency
Diana Goehringer, TU Dresden
Martin Herbordt, Boston University
Michael Huebner, Brandenburg University of Technology Cottbus
Tomonori Izumi, Ritsumeikan University
Peter Jamieson, Miami University
Kenji Kise, Tokyo Institute of Technology
Dirk Koch, The University of Manchester
Miriam Leeser, Northeastern University
Vivek Menon, U.S. Dept. of Defense
Takaaki Miyajima, Meiji University
Hiroki Nakahara, Tokyo Institute of Technology
Hironori Nakajo, Tokyo University of Agriculture and Technology
Smail Niar, LAMIH/CNRS, Polytechnic University Hauts-de-France
Kenneth O'Brien, Xilinx Inc
Marco Platzner, Paderborn University
Christian Plessl, Paderborn University
Kentaro Sano, Riken R-CCS
Hayden K.H. So, The University of Hong Kong
Antonio Carlos Schneider Beck Filho, Universidade Federal do Rio Grande
do Sul
Yuichiro Shibata, Nagasaki University
Dimitrios Soudris, National Technical University of Athens
Stephan Wong, Delft University of Technology
Yoshiki Yamaguchi, University of Tsukuba


*Organization Committee

General Chair: Yoshiki Yamaguchi, University of Tsukuba
Program Co-Chair: Hayden K.H. So, The University of Hong Kong
Program Co-Chair: Takaaki Miyajima, Meiji University
Publication Chair: Ryohei Kobayashi, University of Tsukuba
Finance Chair: Tomohiro Ueno, RIKEN Center for Computational Science
Publicity Chair: Riadh Ben Abdelhamid, University of Tsukuba


*Steering Committee
Hideharu Amano, Keio University, JP
Jason Anderson, University of Toronto, CA
Khaled Benkrid, ARM, UK
Martin Herbordt, Boston University, US
Miriam Leeser, North Eastern University, USA
Wayne Luk, Imperial College London, UK
Hironori Nakajo, Tokyo University of Agriculture and Technology, JP
Kentaro Sano, Tohoku University, JP
Yuichiro Shibata, Nagasaki University, JP
Hayden Kwok-Hay So, University of Hong Kong, HK
Yoshiki Yamaguchi, University of Tsukuba, JP


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