Reminder about IPDPS 2021 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 2021 to give access to the proceedings and to all live events and recorded sessions of the conference.
Session 1
6:10AM - 6:50AM PDT
Chairs: Satoshi Ohshima (Nagoya U.), Kazuhiko Komatsu (Tohoku U.)
  1. Evaluating I/O Acceleration Mechanisms of SX-Aurora TSUBASA [slides] [video]
    Authors: Yuta Sasaki, Ayumu Ishizuka, Mulya Agung and Hiroyuki Takizawa.
  2. Efficient Parallel Multigrid Methods on Manycore Clusters with Double/Single Precision Computing [slides] [video]
    Authors: Kengo Nakajima, Takeshi Ogita and Masatoshi Kawai.
  3. Automatic Selection of Tensor Decomposition for Compressing Convolution Neural Networks: A Case Study on VGG-type Networks [slides] [video]
    Authors: Chia-Chun Liang and Che-Rung Lee.
  4. A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs [slides] [video]
    Authors: Kou Murakami, Kazuhiko Komatsu, Masayuki Sato and Hiroaki Kobayashi.
Session 2
7:00AM - 7:40AM PDT
Chairs: Shuhei Kudo (Riken), Kazuhiko Komatsu (Tohoku U.)
  1. An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL [slides] [video]
    Authors: Naruya Kitai, Daisuke Takahashi, Franz Franchetti, Takahiro Katagiri, Satoshi Ohshima and Toru Nagai.
  2. Improving the MPI-IO Performance of Applications with Genetic Algorithm based Auto-tuning [slides] [video]
    Authors: Ayse Bagbaba and Xuan Wang.
  3. Autotuning Benchmarking Techniques: A Roofline Model Case Study [slides] [video]
    Authors: Jacob Odgård Tørring, Jan Christian Meyer and Anne C. Elster.
  4. Scalable Performance Prediction of Irregular Workloads in Multi-Phase Particle-in-Cell Applications [slides] [video]
    Authors: Sai Prabhakar Rao Chenna, Sivaramakrishnan Balachandar, Herman Lam and Greg Stitt.