Mohamed Wahib

Most-cited papers

AN5D: automated stencil framework for high-degree temporal blocking on GPUs
Kazuaki Matsumura, H. Zohouri, Mohamed Wahib, Toshio Endo +1 more
2020IEEE/ACM International Symposium on Code Generation and Optimization65 citations Open access
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MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
S. Farrell, M. Emani, J. Balma, L. Drescher +39 more
2021arXiv.org61 citations
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Boosting the predictive performance with aqueous solubility dataset curation
Jin-Tao Meng, Peng Chen, Mohamed Wahib, Mingjun Yang +4 more
2022Scientific Data36 citations Open access
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Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning
Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd +4 more
2022IEEE International Parallel and Distributed Processing Symposium31 citations
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A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, R. Takano +1 more
2019International Conference for High Performance Computing, Networking, Storage and Analysis26 citations Open access
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Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation
Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen +4 more
2025IEEE Transactions on Evolutionary Computation25 citations
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A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, S. Matsuoka
2020IEEE International Parallel and Distributed Processing Symposium25 citations Open access
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Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd +4 more
2020International Conference for High Performance Computing, Networking, Storage and Analysis24 citations Open access
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Myths and legends in high-performance computing
S. Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd +1 more
2023The international journal of high performance computing applications22 citations Open access
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Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge
Ismayil Ismayilov, Javid Baydamirli, Doğan Sağbili, Mohamed Wahib +1 more
2023International Conference on Supercomputing21 citations Open access
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PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jin-Tao Meng +3 more
2022International Conference on Supercomputing19 citations Open access
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Efficient MPI‐AllReduce for large‐scale deep learning on GPU‐clusters
Truong Thao Nguyen, Mohamed Wahib, R. Takano
2019Concurrency and Computation19 citations Open access
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Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches?
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang +5 more
2018IEEE International Parallel and Distributed Processing Symposium19 citations Open access
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iFDK: A Scalable Framework for Instant High-Resolution Image Reconstruction
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, R. Takano +1 more
2019International Conference for High Performance Computing, Networking, Storage and Analysis18 citations Open access
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Revisiting Temporal Blocking Stencil Optimizations
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jin-Tao Meng +3 more
2023International Conference on Supercomputing17 citations Open access
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Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads
Truong Thao Nguyen, Mohamed Wahib, R. Takano
20182018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)17 citations
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autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures
Du Wu, Jintao Meng, Wenxi Zhu, Minwen Deng +4 more
2024International Conference for High Performance Computing, Networking, Storage and Analysis16 citations Open access
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ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
Xiao Wang, Jong-Youl Choi, Takuya Kurihaya, I. Lyngaas +13 more
2025International Conference on Software Composition15 citations Open access
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An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
A. Kahira, Truong Thao Nguyen, L. B. Gomez, R. Takano +2 more
2020IEEE International Symposium on High-Performance Parallel Distributed Computing15 citations Open access
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YOLO-DKR: Differentiable architecture search based on kernel reusing for object detection
Yu Xue, Chenhang Yao, Mohamed Wahib, M. Gabbouj
2025Information Sciences14 citations Open access
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Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning
Jin-Tao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib +7 more
2022IEEE Transactions on Parallel and Distributed Systems14 citations Open access
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Scalable FBP Decomposition for Cone-Beam CT Reconstruction
Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi +5 more
2021International Conference for High Performance Computing, Networking, Storage and Analysis14 citations Open access
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Can Tensor Cores Benefit Memory-Bound Kernels? (NO!)
Lingqi Zhang, Jia-Jun Huang, Sheng Di, Satoshi Matsuoka +1 more
2025GPGPU@PPoPP12 citations Open access
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An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning
Truong Thao Nguyen, Mohamed Wahib
2021IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing12 citations
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Topology-aware Sparse Allreduce for Large-scale Deep Learning
Truong Thao Nguyen, Mohamed Wahib, R. Takano
2019IEEE International Performance, Computing, and Communications Conference12 citations
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Adaptive Patching for High-resolution Image Segmentation with Transformers
En-Zhi Zhang, I. Lyngaas, Peng Chen, Xiao Wang +4 more
2024International Conference for High Performance Computing, Networking, Storage and Analysis11 citations Open access
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Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips
Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen +7 more
2023IEEE Transactions on Parallel and Distributed Systems11 citations
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Real-time High-resolution X-Ray Computed Tomography
Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas +4 more
2024International Conference on Supercomputing10 citations Open access
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A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation
Yang-Jie Zhou, Honglin Zhu, Qian Qiu, Wei-Hao Cui +12 more
2025International Conference on Software Composition8 citations Open access
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Persistent Kernels for Iterative Memory-bound GPU Applications
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jin-Tao Meng +2 more
2022arXiv.org8 citations Open access
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RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, A. Dhruv, William S. Moses +3 more
2025International Conference on Software Composition7 citations Open access
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At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads
Jens Domke, Emil Vatai, Balazs Gerofi, Y. Kodama +8 more
2022ACM Transactions on Architecture and Code Optimization (TACO)7 citations Open access
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KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Truong Thao Nguyen, Balazs Gerofi, E. J. Martinez-Noriega, François Trahay +1 more
2023Neural Information Processing Systems6 citations
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Ultra-Long Sequence Distributed Transformer
Xiao Wang, I. Lyngaas, A. Tsaris, Peng Chen +6 more
2023arXiv.org6 citations
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Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction
Xiao Wang, A. Tsaris, Debangshu Mukherjee, Mohamed Wahib +4 more
2022International Conference for High Performance Computing, Networking, Storage and Analysis6 citations
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Efficient Distributed Sequence Parallelism for Transformer-Based Image Segmentation
I. Lyngaas, Murali Gopalakrishnan Meena, Evan Calabrese, Mohamed Wahib +4 more
2024Electronic imaging5 citations Open access
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At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache
Jens Domke, Emil Vatai, Balazs Gerofi, Y. Kodama +8 more
2022arXiv.org5 citations Open access
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Efficient Algorithms for the Summed Area Tables Primitive on GPUs
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, R. Takano +1 more
2018IEEE International Conference on Cluster Computing5 citations
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Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures
M. Dao, Phi Le Nguyen, Hieu H. Pham, Thanh Hung Nguyen +3 more
2025Future generations computer systems4 citations
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Preparing for the Future - Rethinking Proxy Applications
S. Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd +4 more
2022Comput. Sci. Eng.4 citations Open access
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Predictor-assisted evolutionary neural architecture search for spiking neural networks
Yuting Wang, Yu Xue, Wei Ding, Yi-Yu Tan +2 more
2025Neurocomputing3 citations
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A Device-Side Execution Model for Multi-GPU Task Graphs
Ilyas Turimbetov, Mohamed Wahib, Didem Unat
2025International Conference on Supercomputing3 citations Open access
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Balanced and Elastic End-to-end Training of Dynamic LLMs
Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
2025International Conference on Software Composition3 citations Open access
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Enabling Visual Scene Recovery From Wi-Fi CSI for Occlusion-Free Surveillance
Cheng Chen, Shoki Ohta, Takayuki Nishio, Mehdi Bennis +2 more
2025IEEE Internet of Things Journal3 citations Open access
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Distributed Cross-Channel Hierarchical Aggregation for Foundation Models
A. Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib +5 more
2025International Conference on Software Composition3 citations Open access
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers
Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen +7 more
2024International Conference on Supercomputing3 citations Open access
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Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs
Jun Li, Minjun Li, Zhi-Gang Cai, François Trahay +5 more
2021International Conference on Parallel Processing3 citations
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Sequence length scaling in vision transformers for scientific images on frontier
A. Tsaris, Cheng-Ming Zhang, Xiao Wang, Jun-Qi Yin +8 more
2024The international journal of high performance computing applications2 citations Open access
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Preparing for the Future - Rethinking Proxy Apps
S. Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd +4 more
2022arXiv.org2 citations Open access
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MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
S. Farrell, M. Emani, J. Balma, Lukas Drescher +39 more
2021Workshop on Machine Learning in High Performance Computing Environments2 citations
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