研究概要

主要論文

「*」は、理研外のみでの成果です。

• 1. *Thao Nguyen Truong, Balazs Gerofi, Edgar Josafat Martinez-Noriega, Francois Trahay, Mohamed Wahib, KAKURENBO:
  "Adaptively Hiding Samples in Deep Neural Network Training",
  Advances in Neural Information Processing Systems 2023 (NeurIPS 2023)
• 2. *Huaipeng Zhang, Nhut-Minh Ho, Yigit Polat Dogukan, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong,
  "Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips,"
  in IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 10, pp. 2767-2782, Oct. 2023
• 3. *Lingqi, Mohamed Wahib, Chen Peng, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka, PERKS:
  "a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications",
  ACM 37th International Confernce on Supercomputing (ACM ICS 2023)
• 4. *Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shenzhong Feng,
  "Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning"
  in IEEE Transactions on Parallel & Distributed Systems, vol. 34, April 2022.
• 5. *Jintao Meng, Peng Chen, Mingjun Yang, Mohamed Wahib, Yanjie Wei, Shengzhong Feng, Wei Liu, Junzhou Huang,
  "Boosting the Predictive Performance with Aqueous Solubility Dataset Curation",
  Nature Scientific Data, March 2022
• 6. *Albert Khaira, Truong Thao Nguyen, Leonardo Bautista Gomez, Ryousei Takano, Rosa Badia, Mohamed Wahib:
  "An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks",
  30th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2021)
• 7. Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard Boardman, Thomas Blumensath, Satoshi Matsuoka,
  "Scalable FBP Decomposition for Cone-Beam CT Reconstruction",
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021)
• 8. Fareed Mohammad Qararyah, Mohamed Wahib, Doga Dikbayır, Mehmet Esat Belviranl, Didem Unat,
  "A computational-graph Partitioning Method for Training Memory-constrained DNNs",
  Elsevier Parallel Computing, Volume 104 pp. 102-117, July 2021
• 9. Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka:
  "Scaling Deep Learning Workloads Beyond Memory Capacity",
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2020)
• 10. Chen Peng,Wahib Mohamed,Takizawa Shinichiro,Matsuoka Satoshi:
  "A Versatile Software Systolic Execution Model for GPU Memory Bound Kernels",
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2019)

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募集職種	応募締切
研究員または特別研究員募集（R-CCS2202）	ポストが決まり次第

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