iWAPT 2022 Program

Reminder about IPDPS 2022 registration: All papers in the workshop must have one author registered at full (non-student) fee. It is assumed that all attendees to the workshop will be registered with IPDPS 2022 to give access to the proceedings and to all live events and recorded sessions of the conference.

iWAPT2022 is an one day workshop held at June 3, 2022.
iWAPT is held in limited live sessions for about 2 hours for discussions and Q&A, and the online discussion forum using slack.
Please take the time to view the presentation video with slides before the live session and join in the live sessions or post your questions into slack by registering/joining the slack workspace:
https://join.slack.com/t/iwapt/shared_invite/zt-1801vj5nk-W2Mp13nWzJC6NrslMaogrg (We use "iwapt2022" channnel. If you have already joined "iWAPT" workspace, please join the "iwapt2022" channel by yourself.)
Online information will be provided by IPDPS. Zoom URL is available on IPDPS web system. After registration, please check e-mail from "noreply at rdmobile.com". (The title of e-mail is "Login Details - IPDPS 2022".)
In the live sessions, chairs will read all questions from slack to four papers and presenters will answer them. Each accepted talks has 15 minitues includes both short presentation and discussion.

Session 1
8:05AM - 9:05AM, June 3, 2022 (EST)
Chairs: Che-Rung Lee (National Tsing Hua University), Satoshi Ohshima (Nagoya University)

8:05-8:20 EST QuaLM: Learning Quantitative Performance of Latency-Sensitive Code [slides] [video]
Authors: Arun Sathanur, Nathan R. Tallent(Pacific Northwest National Laboratory), Patrick Konsor, Ken Koyanagi, Ryan Mclaughlin, V, Michael Chynoweth (Intel Corp)
8:20-8:35 EST Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch [slides] [video]
Authors: Aravind Sankaran, Navid Akbari Alashti, Christos Psarras(RWTH Aachen University), Paolo Bientinesi(Umeå Universitet)
8:35-8:50 EST Automated selection of build configuration based on machine learning [slides] [video]
Authors: Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa(Tohoku University)
8:50-9:05 EST A Cost Model for Compilers Based on Transfer Learning [slides] [video]
Authors: Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa (Tohoku University)

Session 2
9:20AM - 10:05AM, June 3, 2022 (EST)
Chairs: Satoshi Ohshima (Nagoya University), Che-Rung Lee (National Tsing Hua University)

9:20-9:35 EST Modeling pre-Exascale AMR Parallel I/OWorkloads via Proxy Applications [slides] [video]
Authors: William Godoy, Jenna DeLozier, Gregory Watson(Oak Ridge National Laboratory)
9:35-9:50 EST Smoothing on Dynamic Concurrency Throttling [slides] [video]
Authors: Janaína Schwarzrock, Hiago Mayk G. de A. Rocha(UFRGS), Arthur F. Lorenzon(UNIPAMPA), Antonio Carlos S. Beck(UFRGS)
9:50-10:05 EST Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes [slides] [video]
Authors: Jacob Odgård Tørring, Anne C. Elster(Norwegian University of Science and Technology)