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Mohamed Wahib

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction


May 12, 2022
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob Hinkle

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MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems


Oct 26, 2021
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey 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

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An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks


Apr 19, 2021
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez, Ryousei Takano, Rosa M Badia, Mohamed Wahib

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* The International ACM Symposium on High-Performance Parallel and Distributed Computing 2021 (HPDC'21) 
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GTOPX Space Mission Benchmarks


Nov 05, 2020
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner

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Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA


Aug 26, 2020
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka

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* ACM/IEEE Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'20) 
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