Workshop Best Paper of LHAM Award @CANDARW’20
Good evening, I am Furuhata, a M1 student.
I had a presentation in CANDARW’20 (The Eighth International Conference on Computing and Networking Workshops), from November 25, 2020 (JST) to November 27, 2020 (JST), taking place virtually this year. And I received the Workshop Best Paper of LHAM (International Workshop on Large-scale HPC Application Modernization). Even though I couldn’t go to Okinawa due to COVID-19, it still was a very meaningful experience for me.
It won’t be possible to receive such an award without all of co-authors and labmates’ help. I would like to express my gratitude again to all the members of the laboratory for their support of my research activities.
Improving the Accuracy in SpMV Implementation Selection with Machine Learning
Reo Furuhata*, Minglu Zhao*, Mulya Agung†, Ryusuke Egawa‡, Hiroyuki Takizawa†
*Graduate School of Information Sciences, Tohoku University
†Cyberscience Center, Tohoku University
‡Department of Information and Communication Engineering, Tokyo Denki University