MLの皆様：

名古屋大学情報基盤センターの大島です。
日頃お世話になっております。

本MLをお借りして、IPDPS 2022の併設ワークショップである
iWAPT 2022の論文募集締切の延長（最終）をご連絡させていただきます。
締切がだいぶ延びましたので、是非投稿をご検討ください。
（これ以上の延長は絶対にありません。）

—-

本MLをお借りして、IPDPS 2022の併設ワークショップである
iWAPT 2022の論文募集をお送りします。
iWAPTは自動チューニングに関する国際会議であり、
2015年からは毎年IPDPSの併設ワークショップとして開催しています。
自動チューニングに関する論文を広く募集しますので、
是非ご投稿をご検討ください。

なおIPDPS 2022はいまのところフランス リヨンで開催予定です。
iWAPTの開催形態はIPDPS本体に倣う予定です。

重複してお受け取りの際はご容赦ください。

==============================================================
:: iWAPT 2021 :: CALL FOR PAPERS
The 17th International Workshop on Automatic Performance Tuning
http://www.iwapt.org/2022/

June 3, 2022 at Ecole Normale Supérieure de Lyon
Lyon, France

The iWAPT 2022 will be held in conjunction with IPDPS 2022.
http://www.ipdps.org/
===============================================================

# Important dates

Paper submission due: February 20, 2022 (AOE)
Author Notification: March 10, 2022
Camera ready papers: March 31, 2022
Conference sessions: June 3, 2022

Submission site:
https://ssl.linklings.net/conferences/ipdps/

# About iWAPT

iWAPT (International Workshop on Automatic Performance Tuning) is
a series of workshops that focus on research and techniques
that address performance sustainability issues.
It provides an opportunity for researchers and users of
automatic performance tuning (AT) technologies to exchange ideas
and experiences while applying such technologies to improve the
performance of algorithms, libraries, and applications; in particular,
on cutting edge computing platforms.
The full-day workshops consist of invited keynote speaker
presentations and 30-minute presentations of well-founded papers.
Occasionally, exploratory papers are also accepted.
Topics of interest include performance modeling, adaptive algorithms,
autotuned numerical algorithms, libraries and scientific applications,
empirical compilation, automated code generation,
frameworks and theories of AT and software optimization,
autonomic computing, and context-aware computing.

We are particularly interested in autotuning and its relationship
to the following areas (the list is not exhaustive):

* Applying machine learning to autotuning
* Machine-adaptive algorithms
* Automatic program generation
* Performance analysis and modeling
* Adaptive numerical algorithms and libraries
* Multi- and manycore systems, heterogeneous architectures challenges
* Compilation strategies (e.g. iterative and empirical compilers)
* Programming models
* Runtime systems
* Empirical search heuristics
* Power- and/or energy-aware computing

# Paper Submission guidelines

Submitted manuscripts may not exceed ten (10) single-spaced
double-column pages using 10-point size font on 8.5×11 inch pages
(IEEE conference style), including figures, tables, and references.

The IEEE conference style templates for MS Word and LaTeX provided
by IEEE eXpress Conference Publishing are available for download.
https://www.ieee.org/conferences/publishing/templates.html

Files should be submitted by following the instructions at the
IPDPS 2022 Submission Site (powered by Linklings).
https://ssl.linklings.net/conferences/ipdps/

Authors must ensure that electronically submitted files are
formatted in PDF format for 8.5×11 inch paper.
Accepted submissions will be included in the IPDPSW proceedings.

Submission implies the willingness of at least one of the authors
to register and present the paper. The authors may use PDF eXpress,
the IEEE online file converter and validation tool, to complete the
final paper submission process. More details about camera-ready
will also be announced when notification of the paper.

# Program Committee

PC Chair: Che-Rung Lee, National Tsing Hua University, Taiwan
PC Vice-Chair: Satoshi Ohshima, Nagoya University, Japan
PC members:
* Akihiro Ida, JAMSTEC, Japan
* Boyana Norris, University of Oregon, USA
* Che-Rung Lee, National Tsing Hua University, Taiwan
* Daisuke Takahashi, University of Tsukuba, Japan
* Fei Xu, East China Normal University, China
* Hiroyuki Takizawa, Tohoku University, Japan
* I-Hsin Chung, IBM T. J. Watson Research Center, USA
* Jeremy Johnson, Drexel University, USA
* Jerry Chou, National Tsing Hua University, Taiwan
* Kazuhiko Komatsu, Tohoku University, Japan
* Louis-Noel Pouchet, Colorado State University, USA
* Michael Gerndt, Technische Universitaet Muenchen, Germany
* Osni Marques, Lawrence Berkeley National Laboratory, USA
* Ray-Bing Chen, National Tsing Hua University, Taiwan
* Richard Vuduc, Georgia Institute of Technology, USA
* Ryuichi Sakamoto, Tokyo Institute of Technology, Japan
* Satoshi Ohshima, Nagoya University, Japan
* Shih-Hao Hung, National Taiwan University, Taiwan
* Siegfried Benkner, University of Vienna, Austria
* Takahiro Katagiri, Nagoya University, Japan
* Takeshi Fukaya, Hokkaido University, Japan
* Toshiaki Hishinuma, Research Institute for Computational Science Co. Ltd., Japan
* Weichung Wang, National Taiwan University, Taiwan
* Yusaku Yamamoto, University of Electro-Communications, Japan

# Organizing Committee

* General Chair: Osni Marques, LBNL, USA
* General Vice-Chair: Reiji Suda, The University of Tokyo, Japan
* PC Chair: Che-Rung Lee, National Tsing Hua University, Taiwan
* Finance Chair: Yusaku Yamamoto, The University of Electro-Communications, Japan
* SC liaison: Hiroyuki Takizawa, Tohoku University, Japan
* Web Chair: Hisayasu Kuroda, Ehime University, Japan
* Publicity Chair: Satoshi Ohshima, Nagoya University, Japan

# Contact

iwapt2022@iwapt.org
===============================================================