posted by user: Pedro85 || 543 views || tracked by 3 users: [display]

iWAPT 2024 : The Nineteenth International Workshop on Automatic Performance Tuning

FacebookTwitterLinkedInGoogle

Link: http://www.iwapt.org/2024/
 
When May 31, 2024 - May 31, 2024
Where San Francisco, USA
Abstract Registration Due Oct 9, 2023
Submission Deadline Jan 15, 2024
Notification Due Feb 26, 2024
Final Version Due May 31, 2024
Categories    autotuning   parallel progamming   high performance computing   scientific computing
 

Call For Papers

-Conference Overview
The goal of the Nineteenth International Workshop on Automatic Performance Tuning (iWAPT2024) 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:
--Use of Generative AI for 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
--Hyper-parameter tuning for machine learning

-Paper Submissions
--To be announced.

-Important Dates
--Paper submission starts: October 9, 2023
--Paper submission closes: January 15, 2024 (AoE)
--Notification of acceptance: February 26, 2024
--Camera-ready papers: March 25, 2024
--Conference sessions: May 31, 2024

-Registration
--To be announced.

-Committees
-Program Chair
--Valero Lara, Pedro, Oak Ridge National Laboratory, USA

-Program Vice-chair
--Hiroyuki Takizawa, Tohoku University, Japan

-Program Committee
--TBD
-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: Satoshi Ohshima, Kyushu University, Japan
--Web Chair: Hisayasu Kuroda, Ehime University, Japan
--Publicity Chair: Satoshi Ohshima, Kyushu University, Japan
--PC Chair: Valero Lara, Pedro, Oak Ridge National Laboratory, USA

-Steering Committee Chair
--Satoshi Ohshima, Kyushu University, Japan

-Steering Committee
--Akihiro Fujii, Kogakuin University, Japan
--Che-Rung Lee, National Tsing Hua University, Taiwan
--Jakub Kurzak, AMD Research, 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
--E-mail: iwapt2024 .at. iwapt.org (replace ".at." by "@" in the email address)

Related Resources

iWAPT 2023   The Eighteenth International Workshop on Automatic Performance Tuning
ISC 2024   International Supercomputing Conference
HPCCT 2024   ACM--2024 8th High Performance Computing and Cluster Technologies Conference (HPCCT 2024)
SIGMETRICS / Performance 2024   2024 ACM SIGMETRICS / IFIP Performance
ACM HP3C 2024   ACM--2024 8th International Conference on High Performance Compilation, Computing and Communications (HP3C 2024)
Interdisciplinary Social Sciences 2024   Nineteenth International Conference on Interdisciplinary Social Sciences Jagiellonian University, Krak√≥w, Poland + Online
HPDC 2024   ACM International Symposium on High-Performance Parallel and Distributed Computing (Call for Posters)
HPDC 2024   ACM International Symposium on High-Performance Parallel and Distributed Computing (Call for Papers)
GPGPU 2024   General Purpose Processing on Graphics Processing Units
CF' 24   21th ACM International Conference on Computing Frontiers