Mohamed Wahib
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
17
Active years
2007–2026
Best venue rank
A
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CGO | FRUGAL: Pushing GPU Applications beyond Memory Limits. | Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib |
| 2026 | ICS | SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication. | Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2025 | ICS | A Device-Side Execution Model for Multi-GPU Task Graphs. | Ilyas Turimbetov, Mohamed Wahib, Didem Unat |
| 2025 | ICS | Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers. | Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2025 | PPoPP | A General and Scalable GCN Training Framework on CPU Supercomputers. | Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2025 | SC | A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. | Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng |
| 2025 | SC | ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. | Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu |
| 2025 | SC | RAPTOR: Practical Numerical Profiling of Scientific Applications. | Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke |
| 2025 | SC | Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. | Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang |
| 2025 | SC | Balanced and Elastic End-to-end Training of Dynamic LLMs. | Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat |
| 2024 | CLUSTER | Welcome Message from the IEEE Cluster 2024 Program Chairs. | Yutong Lu, Wu-chun Feng, Mohamed Wahib |
| 2024 | CLUSTER | Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage. | Du Wu, Peng Chen, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2024 | CLUSTER | Investigating Nvidia GPU Architecture Trends via Microbenchmarks. | Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2024 | CLUSTER | Communication Optimization for Distributed GCN Training on ABCI Supercomputer. | Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2024 | IJCNN | Progressive Neural Predictor with Score-Based Sampling. | Liwen Jiang, Yu Xue, Ferrante Neri, Xiaoping Zhao, Mohamed Wahib |
| 2024 | IJCNN | Validation Loss Landscape Exploration with Deep Q-Learning. | Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib |
| 2024 | ICS | Real-time High-resolution X-Ray Computed Tomography. | Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib |
| 2024 | SC | autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. | Du Wu, Jintao Meng, Wenxi Zhu, Minwen Deng, Xiao Wang, Tao Luo, Mohamed Wahib, Yanjie Wei |
| 2024 | SC | Adaptive Patching for High-resolution Image Segmentation with Transformers. | Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib |
| 2023 | ICS | Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge. | Ismayil Ismayilov, Javid Baydamirli, Dogan Sagbili, Mohamed Wahib, Didem Unat |
| 2023 | ICS | PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. | Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka |
| 2023 | ICS | Revisiting Temporal Blocking Stencil Optimizations. | Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka |
| 2023 | SMC | Training Knowledge Inheritance Through Deep Q-Net. | Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo |
| 2022 | SC | Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. | Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle |
| 2021 | CCGRID | An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. | Truong Thao Nguyen, Mohamed Wahib |
| 2021 | EuroPar | Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms. | Jared O'Neal, Mohamed Wahib, Anshu Dubey, Klaus Weide, Tom Klosterman, Johann Rudi |
| 2021 | HPDC | An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. | Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib |
| 2021 | ICPP | Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs. | Jun Li, Minjun Li, Zhigang Cai, Franois Trahay, Mohamed Wahib, Balazs Gerofi, Zhiming Liu, Min Huang, Jianwei Liao |
| 2021 | ICS | Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. | Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka |
| 2021 | SC | Scalable FBP decomposition for cone-beam CT reconstruction. | Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka |
| 2020 | CGO | AN5D: automated stencil framework for high-degree temporal blocking on GPUs. | Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka |
| 2020 | SC | Scaling distributed deep learning workloads beyond the memory capacity with KARMA. | Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka |
| 2019 | IPCCC | Topology-aware Sparse Allreduce for Large-scale Deep Learning. | Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano |
| 2019 | SC | A versatile software systolic execution model for GPU memory-bound kernels. | Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka |
| 2019 | SC | iFDK: a scalable framework for instant high-resolution image reconstruction. | Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka |
| 2018 | CLUSTER | Efficient Algorithms for the Summed Area Tables Primitive on GPUs. | Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka |
| 2016 | SC | Daino: a high-level framework for parallel and efficient AMR on GPUs. | Mohamed Wahib, Naoya Maruyama, Takayuki Aoki |
| 2015 | HPDC | Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications. | Mohamed Wahib, Naoya Maruyama |
| 2015 | SC | Data-centric GPU-based adaptive mesh refinement. | Mohamed Wahib, Naoya Maruyama |
| 2014 | SC | Scalable Kernel Fusion for Memory-Bound GPU Applications. | Mohamed Wahib, Naoya Maruyama |
| 2013 | CLUSTER | Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES. | Mohamed Wahib, Naoya Maruyama |
| 2011 | CEC | Advanced genetic algorithm to solve MINLP problems over GPU. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2011 | CEC | Optimization of parallel Genetic Algorithms for nVidia GPUs. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2011 | SERVICES | A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2010 | CEC | A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2010 | PDPTA | A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2009 | PDCAT | Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2008 | HPCC | Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2008 | HPCC | A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2007 | PDCAT | MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |