Information:

 The iWAPT2019 will be held in conjunction with IEEE IPDPS 2019.


May 20-24, 2019
Hilton Rio de Janeiro Copacabana
Rio de Janeiro, Brazil

Conference Overview

The goal of the Fourteenth International Workshop on Automatic Performance Tuning (iWAPT2019)
is to bring together researchers who are investigating automated techniques for constructing
and/or adapting algorithms and software for high-performance on modern complex machine
architectures.

Topics of Interest

We are particularly interested in autotuning and its relationship to the following topic areas, among others:

Paper Submissions

Paper Submission Guidelines

Submitted manuscripts may not exceed ten (10) single-spaced double-column pages using
10-point size font on 8.5x11 inch pages (IEEE conference style), including figures,
tables, and references.
See style templates for details:

LaTex Package (ZIP)
Word Template (ZIP)

Files should be submitted by following the instructions available at the EasyChair portal.

Accepted submissions will be included in the IPDPS 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's online file congerter and validation tool,
to complete the final paper submission process. More details about camera-ready will also be
announced when notification of the paper.


Important Dates

Submission due : Monday, Jan. 28, 2019
Friday, Feb. 8, 2019
Monday, Feb. 18, 2019 (AOE)
Notification of acceptance: Thursday, Mar. 7, 2019
Tuesday, Mar. 12, 2019
Camera ready papers: Friday, Mar. 15, 2019
Friday, Mar. 22, 2019
Conference sessions: Friday, May 24, 2019

Registration

To join the workshop, you must register for IEEE IPDPS 2019.
The registration page for IEEE IPDPS 2019 is open via: http://www.ipdps.org/

Committees

Program Chair

Akihiro Fujii, Kogakuin University, Japan

Program Vice-chair

I-Hsin Chung, IBM T. J. Watson Research Center, USA

Program Committee

Ray-Bing Chen, National Cheng Kung University, Taiwan
Björn Franke, University of Edinburgh, UK
Takeshi Fukaya, Hokkaido University, Japan
Michael Gerndt, Technische Universitaet Muenchen, Germany
Torsten Hoefler, ETH Zurich, Switzerland
Jeremy Johnson, Drexel University, USA
Takahiro Katagiri, Nagoya University, Japan
Jakub Kurzak, University of Tennessee, USA
Che-Rung Lee, National Tsing Hua University, Taiwan
Osni Marques, Lawrence Berkeley National Laboratory, USA
Daichi Mukunoki, Tokyo Woman's Christian University, Japan
Boyana Norris, University of Oregon, USA
Satoshi Ohshima, Kyushu University, Japan
Louis-Noel Pouchet, Ohio State University, USA
Daisuke Takahashi, University of Tsukuba, Japan
Hiroyuki Takizawa, Tohoku University, Japan
Teruo Tanaka, Kogakuin University, Japan
Richard Vuduc, Georgia Institute of Technology, USA
Weichung Wang, National Taiwan University, Taiwan
Yusaku Yamamoto, The 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: Takahiro Katagiri, Nagoya University, Japan
Web Chair: Hisayasu Kuroda, Ehime University, Japan
Publicity Chair: Satoshi Ohshima, Kyushu University, Japan
PC Chair: Akihiro Fujii, Kogakuin University, Japan

Steering Committee

Victor Eijkhout, Texas Advanced Computing Center, University of Texas, USA
Toshiyuki Imamura, RIKEN AICS, Japan
Domingo Jimenez Canovas, University of Murcia, Spain
Takahiro Katagiri, Nagoya University, Japan
Osni A. Marques, Lawrence Berkley National Laboratory, USA
Reiji Suda, The University of Tokyo, Japan
Richard Vuduc, Georgia Institute of Technology, USA
R. Clint Whaley, Louisiana State University, USA
Yusaku Yamamoto, The University of Electro-Communications, Japan
Jonathan T. Carter, NERSC/Lawrence Berkley National Laboratory, USA
John Cavazos, University of Delaware, USA
Takeshi Iwashita, Hokkaido University, Japan
Weichung Wang, National Taiwan University, Taiwan

Financial Supports

Challenging Research (Exploratory), 18K19782, "Development of Innovative Auto-tuning Middleware With Deep Learning"

Contact

E-mail: iwapt2019 .at. iwapt.org (replace ".at." by "@" in the email address)