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Aleksandr Drozd
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2020 – today
- 2024
- [c22]Kevin A. Brown, Tanwi Mallick, Juliane Mueller, Aleksandr Drozd:
Welcome Message from LLMxHPC Workshop. CLUSTER Workshops 2024: 1 - [i10]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 abs/2404.00399 (2024) - [i9]Emil Vatai, Aleksandr Drozd, Ivan R. Ivanov, Yinghao Ren, Mohamed Wahib:
Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness. CoRR abs/2410.03210 (2024) - 2023
- [j6]Satoshi Matsuoka
, Jens Domke
Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. 37(3-4): 245-259 (2023) - [j5]Jens Domke
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20(4): 57:1-57:26 (2023) - [i8]Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler:
Myths and Legends in High-Performance Computing. CoRR abs/2301.02432 (2023) - 2022
- [j4]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): 85-90 (2022) - [c21]Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta:
Outlier Dimensions that Disrupt Transformers are Driven by Frequency. EMNLP (Findings) 2022: 1286-1304 - [c20]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: 1085-1096 - [e1]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [i7]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 abs/2204.02235 (2022) - [i6]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 abs/2204.07336 (2022) - [i5]Giovanni Puccetti
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency. CoRR abs/2205.11380 (2022) - 2021
- [c19]Jens Domke, Emil Vatai
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS 2021: 1056-1065 - [c18]Steven Farrell
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC 2021: 33-45 - [i4]Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers:
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. CoRR abs/2110.01518 (2021) - [i3]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 abs/2110.11466 (2021) - 2020
- [c17]Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC 2020: 19 - [i2]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 abs/2008.11421 (2020) - [i1]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 abs/2010.14373 (2020)
2010 – 2019
- 2019
- [j3]Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du:
Scaling Word2Vec on Big Corpus. Data Sci. Eng. 4(2): 157-175 (2019) - [c16]Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka:
Learning Neural Representations for Predicting GPU Performance. ISC 2019: 40-58 - 2018
- [c15]Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka:
Predicting Performance Using Collaborative Filtering. CLUSTER 2018: 504-514 - [c14]Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex ChiChung Kot:
VANT at TRECVID 2018. TRECVID 2018 - 2017
- [c13]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: 2421-2431 - [c12]Anna Rogers, Aleksandr Drozd, Bofang Li:
The (too Many) Problems of Analogical Reasoning with Word Vectors. *SEM 2017: 135-148 - 2016
- [j2]Aleksandr Drozd, Olaf Witkowski
Critical mass in the emergence of collective intelligence: a parallelized simulation of swarms in noisy environments. Artif. Life Robotics 21(3): 317-323 (2016) - [j1]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): 57-69 (2016) - [c11]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen. COLING 2016: 3519-3530 - [c10]Anna Gladkova
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't. SRW@HLT-NAACL 2016: 8-15 - [c9]Anna Gladkova
Intrinsic Evaluations of Word Embeddings: What Can We Do Better? RepEval@ACL 2016: 36-42 - [c8]Mateusz Bysiek, Aleksandr Drozd, Satoshi Matsuoka:
Migrating Legacy Fortran to Python While Retaining Fortran-Level Performance through Transpilation and Type Hints. PyHPC@SC 2016: 9-18 - 2015
- [c7]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora. DSDIS 2015: 61-68 - [c6]Aleksandr Drozd, Anna Gladkova, Satoshi Matsuoka:
Python, performance, and natural language processing. PyHPC@SC 2015: 1:1-1:10 - 2014
- [c5]Aleksandr Drozd, Miquel Pericàs, Satoshi Matsuoka:
Efficient String Sorting on Multi - and Many-Core Architectures. BigData Congress 2014: 637-644 - [c4]Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka:
Large-scale distributed sorting for GPU-based heterogeneous supercomputers. IEEE BigData 2014: 510-518 - 2012
- [c3]Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka:
Sequence Alignment on Massively Parallel Heterogeneous Systems. IPDPS Workshops 2012: 2498-2501 - [c2]Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka:
A Multi GPU Read Alignment Algorithm with Model-Based Performance Optimization. VECPAR 2012: 270-277 - 2011
- [c1]Aleksandr Drozd, Naoya Maruyama, Satoshi Matsuoka:
Poster: fast GPU read alignment with burrows wheeler transform based index. SC Companion 2011: 21-22
Coauthor Index
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last updated on 2024-11-21 20:28 CET by the dblp team
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