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IEEE BigData’20において趙さんが発表

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こんばんは、発表が終わった勢いで早速記事を書いてるM1の趙(Zhao)です。
12/10-12/13にかけて、2020 IEEE International Conference on Big Data (IEEE BigData 2020)が開催されました。
コロナの影響でアメリカに行けないのは非常に残念でしたが、こたつで国際学会に参加できるという非常に珍しい経験をすることができました（笑）。
IEEE BigDataのワークショップ、Third International Workshop of Internet of Things Data Analytics (IoTDA)にて発表を行いました。

  • Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection
    Minglu Zhao*, Reo Furuhata*, Mulya Agung†, Hiroyuki Takizawa†, and Tomoya Soma‡
    *Graduate School of Information Science, Tohoku University
    †Cyberscience Center, Tohoku University
    ‡Corporate Business Development Division, NEC Corporation

Pre-recorded動画とリアルタイムのQ&Aセッションの様子は以下の通りでした。

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電子版日本経済新聞において，滝沢教授，江川客員教授が取材されました

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電子版日本経済新聞において，スパコンの熱中症リスク予測サービスにおける利用について，滝沢教授と江川客員教授が取材を受けました．
本文は以下より閲覧できます．
異なる分野のプロとスパコンで社会実装を果たしたパーソナライズドサービスとは？　～熱中症リスク予測への挑戦～ | 日本経済新聞 電子版特集
 

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Furuhata, Liu and Ebata made a presentation at CANDAR’20

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Hello! I am Naoki Ebata, a master-course student.
The Eighth International Symposium on Computing and Networking (CANDAR’20) was held during 11/24~11/27．
Physical conference in Okinawa was canceled due to COVID-19 and the conference was held virtually.
I wanted to visit Okinawa…
In the conference, three students from our laboratory, Reo Furuhata, Liu Jiaheng and Naoki Ebata, have presented their research projects.

  • Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Improving the accuracy in SpMV implementation selection with machine learning,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020. [youtube]

 

  • Jiaheng Liu, Ryusuke Egawa, Mulya Agung, and Hiroyuki Takizawa, “A Conflict-Aware Capacity Control Mechanism for Last-Level Cache,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020. [youtube]

 

  • Naoki Ebata, Yoko Isobe, Ryusuke Egawa, and Hiroyuki Takizawa, “Polymorphic Data Layout for SX-Aurora TSUBASA Vector Engines,” The Eighth International Conference on Computing and Networking (CANDAR), 2020. [youtube]

 
Furuhata won Workshop Best Paper of LHAM! Congratulations! Details
They will improve their researches based on the received comments and questions at the conference!

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CANDAR’20で古畑君，劉君，江端君が発表

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こんにちは．M2の江端です．
11/24~11/27にかけて，The Eighth International Symposium on Computing and Networking (CANDAR’20) が開催されました．
当初は沖縄での開催予定でしたが，COVID-19の影響によりオンライン開催となりました．仕方のないことですが，沖縄，行きたかったですね．
さて，当研究室からは，M1の古畑玲生君，M2の劉佳恒君，江端直樹君の3名が発表を行いました．

  • Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Improving the accuracy in SpMV implementation selection with machine learning,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020. [youtube]

 

  • Jiaheng Liu, Ryusuke Egawa, Mulya Agung, and Hiroyuki Takizawa, “A Conflict-Aware Capacity Control Mechanism for Last-Level Cache,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020. [youtube]

 

  • Naoki Ebata, Yoko Isobe, Ryusuke Egawa, and Hiroyuki Takizawa, “Polymorphic Data Layout for SX-Aurora TSUBASA Vector Engines,” The Eighth International Conference on Computing and Networking (CANDAR), 2020. [youtube]

 
古畑君の発表はWorkshop Best Paper of LHAMを受賞しました！おめでとうございます！受賞記事はこちら
また，今回の発表でいただいたコメントや質問をもとに，より研究を発展させていきたいですね．
 

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CANDARW’20において古畑らがWorkshop Best Paper of LHAMを受賞

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こんばんは，M1の古畑です．
2020年11月25日(JST)から2020年11月27日(JST)にかけて開催されたCANDARW’20 (The Eighth International Conference on Computing and Networking Workshops)にてオンラインで発表を行い， Workshop Best Paper of LHAM: International Workshop on Large-scale HPC Application Modernization を受賞しました．
COVID-19の影響によりオンライン開催となり，開催予定地であった沖縄での発表はできませんでしたが，大変有意義な経験になりました．
学会で発表することができたことも，賞を頂くことができたことも，共著者の方々と研究室の皆さんの協力があったからこそ成し遂げられたものでした．
日頃から研究活動を支えてくださっている研究室の皆さんへ改めて感謝を申し上げます．

Improving the Accuracy in SpMV Implementation Selection with Machine Learning
Reo Furuhata*, Minglu Zhao*, Mulya Agung†, Ryusuke Egawa‡, and Hiroyuki Takizawa†
*Graduate School of Information Science, Tohoku University
†Cyberscience Center, Tohoku University
‡Department of Information and Communication Engineering, Tokyo Denki University
 

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Workshop Best Paper of LHAM Award @CANDARW’20

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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