MLの皆様：

お世話になっております名古屋大学情報基盤センターの大島です。
MLをお借りして、IPDPS 2022のワークショップの1つである
自動チューニングに関する国際会議 iWAPT 2022 の参加募集をさせていただきます。

IPDPS 2022の開催が完全オンライン形式になったことに伴い、
併設する自動チューニングに関するワークショップiWAPT 2022もオンライン開催となりました。
Webページにあらかじめプレゼン資料・ビデオを掲載しておき、
当日はショートプレゼンと質疑を行う予定です。

日本人にとってもそこまで厳しくない開催時間帯ですので、是非参加をご検討ください。
（8:00AM ESTは10:00PM JSTです。）

なお、参加にはIPDPSへの登録が必要です。5月23日まで早期登録割引が受けられます。

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

The virtual iWAPT 2022 will be held with presentation materials (slides and videos)
and online discussion in conjunction with IEEE IPDPS 2022.
Please take the time to view the presentation video with slides and post your
question into the discussion on slack.
Active day of the virtual workshop is June 3, 2022.

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# 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.

iWAPT 2022 consists of 7 talks of accepted papers. Each talks has 15-minute short time slot
including short presentation and discussion. Because the presentation slilde and video
are uploaded before the iWAPT 2022, attendees can see them before the workshop.

# Program

8:00AM – 8:05AM EST
Opening Remarks

Session 1
8:05AM – 9:05AM, June 3, 2022 (EST)

1. 8:05-8:20 EST
QuaLM: Learning Quantitative Performance of Latency-Sensitive Code
Arun Sathanur, Nathan R. Tallent(Pacific Northwest National Laboratory), Patrick Konsor, Ken Koyanagi, Ryan Mclaughlin, V, Michael Chynoweth (Intel Corp)

2. 8:20-8:35 EST
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras(RWTH Aachen University), Paolo Bientinesi(Umeå Universitet)

3. 8:35-8:50 EST
Automated selection of build configuration based on machine learning
Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa(Tohoku University)

4. 8:50-9:05 EST
A Cost Model for Compilers Based on Transfer Learning
Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa (Tohoku University)

Session 2
9:20AM – 10:05AM, June 3, 2022 (EST)

5. 9:20-9:35 EST
Modeling pre-Exascale AMR Parallel I/OWorkloads via Proxy Applications
William Godoy, Jenna DeLozier, Gregory Watson(Oak Ridge National Laboratory)

6. 9:35-9:50 EST
Smoothing on Dynamic Concurrency Throttling
Janaína Schwarzrock, Hiago Mayk G. de A. Rocha(UFRGS), Arthur F. Lorenzon(UNIPAMPA), Antonio Carlos S. Beck(UFRGS)

7. 9:50-10:05 EST
Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes
Jacob Odgård Tørring, Anne C. Elster(Norwegian University of Science and Technology)

10:05AM – 10:10AM EST
Closing Remarks

# Program Committee

PC Chair: Che-Rung Lee, National Tsing Hua University, Taiwan
PC Vice-Chair: Satoshi Ohshima, Nagoya University, Japan
Akihiro Ida, JAMSTEC, Japan
Boyana Norris, University of Oregon, USA
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
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
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
PC Chair: Che-Rung Lee, National Tsing Hua University, Taiwan

# Steering Committee

Steering Committee Chair: Hiroyuki Takizawa, Tohoku University, Japan
Akihiro Fujii, Kogakuin University, Japan
Jakub Kurzak, AMD Research, USA
Jonathan T. Carter, NERSC/Lawrence Berkley National Laboratory, USA
Osni A. Marques, Lawrence Berkley National Laboratory, USA
R. Clint Whaley, Louisiana State University, USA
Reiji Suda, The University of Tokyo, Japan
Richard Vuduc, Georgia Institute of Technology, USA
Takahiro Katagiri, Nagoya University, Japan
Takeshi Iwashita, Hokkaido University, Japan
Toshiyuki Imamura, RIKEN R-CCS, Japan
Victor Eijkhout, Texas Advanced Computing Center, University of Texas, USA
Weichung Wang, National Taiwan University, Taiwan
Yusaku Yamamoto, The University of Electro-Communications, Japan

# Contact

iwapt2022@iwapt.org
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