Drozd Aleksandr ドローズドアレクサンドロ

Researcher Number	90740126
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 計算科学研究センター, 研究員
Affiliation (based on the past Project Information) *help	2022 – 2024: 国立研究開発法人理化学研究所, 計算科学研究センター, 研究員 2018: 東京工業大学, 情報理工学院, 研究員 2017: 東京工業大学, 学術国際情報センター, 研究員
Review Section/Research Field	Principal Investigator Intelligent informatics Except Principal Investigator Basic Section 60090:High performance computing-related
Keywords	Principal Investigator 自然言語処理 / benchmarking / embeddings / text representations / evaluation / corpora Except Principal Investigator Numerical Methods / GPUs / Machine Learning / Compilers … More / HPC / Intelligent Programming / Neural Networks / Code Generation Less

Automated, Scalable, and Machine Learning-Driven Approach for Generating and Optimizing Scientific Application Codes
- Principal Investigator
  
  WAHIB MOHAMED
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Institute of Physical and Chemical Research
Corpora on Demand: Scalable Methods of Obtaining Linguistic DataPrincipal Investigator
- Principal Investigator
  
  Drozd Aleksandr
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Tokyo Institute of Technology

All 2023 2018 2017

All Journal Article Presentation

[Journal Article] At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads2023
- Author(s)
  Domke Jens、Vatai Emil、Gerofi Balazs、Kodama Yuetsu、Wahib Mohamed、Podobas Artur、Mittal Sparsh、Pericas Miquel、Zhang Lingqi、Chen Peng、Drozd Aleksandr、Matsuoka Satoshi
- Journal Title
  
  ACM Transactions on Architecture and Code Optimization
  
  Volume: 20 Issue: 4 Pages: 1-26
- DOI
  10.1145/3629520
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24856
[Journal Article] Myths and legends in high-performance computing2023
- Author(s)
  Matsuoka Satoshi、Domke Jens、Wahib Mohamed、Drozd Aleksandr、Hoefler Torsten
- Journal Title
  
  The International Journal of High Performance Computing Applications
  
  Volume: 37 Issue: 3-4 Pages: 245-259
- DOI
  10.1177/10943420231166608
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04119, KAKENHI-PROJECT-23K24856
[Journal Article] The (too Many) Problems of Analogical Reasoning with Word Vectors2017
- Author(s)
  Anna Rogers, Aleksandr Drozd and Bofang Li
- Journal Title
  
  Proceedings of the 6th Joint Conference on Lexical and Computational Semantics
  
  Volume: *SEM 2017 Pages: 135-148
- DOI
  10.18653/v1/s17-1017
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12739
[Journal Article] Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings2017
- Author(s)
  Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du
- Journal Title
  
  Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  
  Volume: EMNLP 2017 Pages: 2421-2431
- DOI
  10.18653/v1/d17-1257
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12739
[Presentation] Subword-level composition functions for learning word embeddings2018
- Author(s)
  Bofang Li, Aleksandr Drozd, Tao Liu, and Xiaoyong Du
- Organizer
  2nd Workshop on Subword and Character level models in NLP (SCLeM)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12739
[Presentation] Subcharacter information in japanese embeddings: when is it worth it?2018
- Author(s)
  Marzena Karpinska, Bofang Li, Anna Rogers, and Aleksandr Drozd
- Organizer
  Workshop on Relevance of Linguistic Structure in Neural Architectures for NLP (RELNLP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12739
[Presentation] HPCとビッグデータ・AIを融合するグリーン・クラウドスパコンTSUBAME3.0の概要2017
- Author(s)
  松岡聡, 遠藤敏夫, 額田彰, 三浦信一, 野村哲弘, 佐藤仁, 實本英之, Drozd Aleksand
- Organizer
  情報処理学会研究報告 2017-HPC-160
- Data Source
  KAKENHI-PROJECT-17K12739

1. WAHIB MOHAMED (00650037)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. ドンケイェンス

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Drozd Aleksandr ドローズド アレクサンドロ

Research Projects

Research Products

Co-Researchers

Automated, Scalable, and Machine Learning-Driven Approach for Generating and Optimizing Scientific Application Codes

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Corpora on Demand: Scalable Methods of Obtaining Linguistic DataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Myths and legends in high-performance computing2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The (too Many) Problems of Analogical Reasoning with Word Vectors2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings2017

Author(s)

Journal Title

DOI

Data Source

[Presentation] Subword-level composition functions for learning word embeddings2018

Author(s)

Organizer

Data Source

[Presentation] Subcharacter information in japanese embeddings: when is it worth it?2018

Author(s)

Organizer

Data Source

[Presentation] HPCとビッグデータ・AIを融合するグリーン・クラウドスパコンTSUBAME3.0の概要2017

Author(s)

Organizer

Data Source

Drozd Aleksandr ドローズドアレクサンドロ