Aleksandr Drozd

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Natural Language Processing

Computational Science

Noisy Environments

Memory Capacity

Top Venues

Publications

Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR (2024)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and Legends in High-Performance Computing. CoRR (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Applications. Comput. Sci. Eng. 24 (2) (2022)
Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta
Outlier Dimensions that Disrupt Transformers are Driven by Frequency. EMNLP (Findings) (2022)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR (2022)
Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. IPDPS (2022)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Apps. CoRR (2022)
Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency. CoRR (2022)
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR (2021)
Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. CoRR (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR (2020)
Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du
Scaling Word2Vec on Big Corpus. Data Sci. Eng. 4 (2) (2019)
Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka
Learning Neural Representations for Predicting GPU Performance. ISC (2019)
Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex ChiChung Kot
VANT at TRECVID 2018. TRECVID (2018)
Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka
Predicting Performance Using Collaborative Filtering. CLUSTER (2018)
Anna Rogers, Aleksandr Drozd, Bofang Li
The (too Many) Problems of Analogical Reasoning with Word Vectors. *SEM (2017)
Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. EMNLP (2017)
Mateusz Bysiek, Aleksandr Drozd, Satoshi Matsuoka
Migrating Legacy Fortran to Python While Retaining Fortran-Level Performance through Transpilation and Type Hints. PyHPC@SC (2016)
Anna Gladkova, Aleksandr Drozd
Intrinsic Evaluations of Word Embeddings: What Can We Do Better? RepEval@ACL (2016)
Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen. COLING (2016)
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka
GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity. IEEE Trans. Big Data 2 (1) (2016)
Aleksandr Drozd, Olaf Witkowski, Satoshi Matsuoka, Takashi Ikegami
Critical mass in the emergence of collective intelligence: a parallelized simulation of swarms in noisy environments. Artif. Life Robotics 21 (3) (2016)
Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. SRW@HLT-NAACL (2016)
Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka
Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora. DSDIS (2015)
Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka
Python, performance, and natural language processing. PyHPC@SC (2015)
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka
Large-scale distributed sorting for GPU-based heterogeneous supercomputers. IEEE BigData (2014)
Aleksandr Drozd, Miquel Pericàs, Satoshi Matsuoka
Efficient String Sorting on Multi - and Many-Core Architectures. BigData Congress (2014)
Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka
Sequence Alignment on Massively Parallel Heterogeneous Systems. IPDPS Workshops (2012)
Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka
A Multi GPU Read Alignment Algorithm with Model-Based Performance Optimization. VECPAR (2012)
Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka
Poster: fast GPU read alignment with burrows wheeler transform based index. SC Companion (2011)