Mohamed Wahib

132 papers A* 1A 29B 10C 8Misc 1Journal 63Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Pairwise Comparison Relation-Assisted Multiobjective Evolutionary Neural Architecture Search Method With Multipopulation Mechanism.
IEEE Trans. Syst. Man Cybern. Syst.
Yu Xue, Pengcheng Jiang, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj
2026 A conf
FRUGAL: Pushing GPU Applications beyond Memory Limits.
CGO
Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
2026 J jnl
Looking for (Genomic) Needles in a Haystack: Sparsity-Driven Search for Identifying Correlated Genetic Mutations in Cancer.
CoRR
Ritvik Prabhu, Emil Vatai, Bernard Moussad, Emmanuel Jeannot, Ramu Anandakrishnan, Wu-chun Feng, Mohamed Wahib
2026 J jnl
Neural architecture search for generative adversarial networks with hybrid convolution.
Neurocomputing
Yu Xue, Yufeng Zou, Mohamed Wahib, Peng Chen, Moncef Gabbouj
2025 A conf
A Device-Side Execution Model for Multi-GPU Task Graphs.
ICS
Ilyas Turimbetov, Mohamed Wahib, Didem Unat
2025 B conf
A General and Scalable GCN Training Framework on CPU Supercomputers.
PPoPP
Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025 A conf
A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation.
SC
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 J jnl
A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows.
CoRR
Jens Domke, Mohamed Wahib, Anshu Dubey, Tal Ben-Nun, Erik W. Draeger
2025 J jnl
A Unifying Framework to Enable Artificial Intelligence in High-Performance Computing Workflows.
Comput. Sci. Eng.
Jens Domke, Mohamed Wahib, Anshu Dubey, Tal Ben-Nun, Erik W. Draeger
2025 A conf
Balanced and Elastic End-to-end Training of Dynamic LLMs.
SC
Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
2025 J jnl
Balanced and Elastic End-to-end Training of Dynamic LLMs.
CoRR
Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
2025 J jnl
CG-Kit: Code Generation Toolkit for performant and maintainable variants of source code applied to Flash-X hydrodynamics simulations.
Future Gener. Comput. Syst.
Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey
2025 — conf
Can Tensor Cores Benefit Memory-Bound Kernels? (NO!).
GPGPU@PPoPP
Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
Can Tensor Cores Benefit Memory-Bound Kernels? (No!).
CoRR
Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025 A conf
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models.
SC
Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang
2025 J jnl
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models.
CoRR
Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Yi-Fei Wang, Xiao Wang
2025 J jnl
Enabling Visual Scene Recovery From Wi-Fi CSI for Occlusion-Free Surveillance.
IEEE Internet Things J.
Cheng Chen, Shoki Ohta, Takayuki Nishio, Mehdi Bennis, Jihong Park, Mohamed Wahib
2025 J jnl
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation.
IEEE Trans. Evol. Comput.
Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, Mohamed Wahib
2025 J jnl
Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures.
Future Gener. Comput. Syst.
Manh Cuong Dao, Phi Le Nguyen, Hieu H. Pham, Thanh Hung Nguyen, Peng Chen, Mohamed Wahib, Truong Thao Nguyen
2025 A conf
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
SC
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 J jnl
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
CoRR
Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, 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 J jnl
Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure.
CoRR
Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
Predictor-assisted evolutionary neural architecture search for spiking neural networks.
Neurocomputing
Yuting Wang, Yu Xue, Wei Ding, Yiyu Tan, Peng Chen, Mohamed Wahib
2025 A conf
RAPTOR: Practical Numerical Profiling of Scientific Applications.
SC
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke
2025 J jnl
RAPTOR: Practical Numerical Profiling of Scientific Applications.
CoRR
Felix Hörold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke
2025 J jnl
SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication.
CoRR
Chen Zhuang, Lingqi Zhang, Benjamin Brock, Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025 A conf
Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers.
ICS
Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
Think Before You Attribute: Improving the Performance of LLMs Attribution Systems.
CoRR
João Eduardo Batista, Emil Vatai, Mohamed Wahib
2025 J jnl
Vision transformer-based meta loss landscape exploration with actor-critic method.
J. Supercomput.
Enzhi Zhang, Rui Zhong, Xingbang Du, Mohamed Wahib, Masaharu Munetomo
2025 J jnl
YOLO-DKR: Differentiable architecture search based on kernel reusing for object detection.
Inf. Sci.
Yu Xue, Chenhang Yao, Mohamed Wahib, Moncef Gabbouj
2024 J jnl
A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism.
CoRR
Yu Xue, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj
2024 A conf
Adaptive Patching for High-resolution Image Segmentation with Transformers.
SC
Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib
2024 J jnl
Adaptive Patching for High-resolution Image Segmentation with Transformers.
CoRR
Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
2024 — conf
Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage.
CLUSTER Workshops
Du Wu, Peng Chen, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 J jnl
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations.
CoRR
Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey
2024 — conf
Communication Optimization for Distributed GCN Training on ABCI Supercomputer.
CLUSTER Workshops
Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 — conf
Investigating Nvidia GPU Architecture Trends via Microbenchmarks.
CLUSTER Workshops
Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 J jnl
Learning from the Past Training Trajectories: Regularization by Validation.
J. Adv. Comput. Intell. Intell. Informatics
Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024 J jnl
Meta generative image and text data augmentation optimization.
J. Supercomput.
Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024 J jnl
Neural architecture search via similarity adaptive guidance.
Appl. Soft Comput.
Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang
2024 B conf
Progressive Neural Predictor with Score-Based Sampling.
IJCNN
Liwen Jiang, Yu Xue, Ferrante Neri, Xiaoping Zhao, Mohamed Wahib
2024 A conf
Real-time High-resolution X-Ray Computed Tomography.
ICS
Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 J jnl
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier.
CoRR
Aristeidis Tsaris, Chengming Zhang, Xiao Wang, Junqi Yin, Siyan Liu, Moetasim Ashfaq, Ming Fan, Jong-Youl Choi, Mohamed Wahib, Dan Lu, Prasanna Balaprakash, Fei-Yue Wang
2024 J jnl
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers.
CoRR
Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 — conf
Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction.
ICIC (2)
Pengcheng Jiang, Yu Xue, Ferrante Neri, Mohamed Wahib
2024 J jnl
Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness.
CoRR
Emil Vatai, Aleksandr Drozd, Ivan R. Ivanov, Yinghao Ren, Mohamed Wahib
2024 B conf
Validation Loss Landscape Exploration with Deep Q-Learning.
IJCNN
Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib
2024 C conf
Welcome Message from the IEEE Cluster 2024 Program Chairs.
CLUSTER
Yutong Lu, Wu-chun Feng, Mohamed Wahib
2024 A conf
autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures.
SC
Du Wu, Jintao Meng, Wenxi Zhu, Minwen Deng, Xiao Wang, Tao Luo, Mohamed Wahib, Yanjie Wei
2023 J jnl
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads.
ACM Trans. Archit. Code Optim.
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2023 — conf
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).
GPGPU@PPoPP
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023 J jnl
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).
CoRR
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023 A* conf
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training.
NeurIPS
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
2023 J jnl
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training.
CoRR
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
2023 A conf
Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge.
ICS
Ismayil Ismayilov, Javid Baydamirli, Dogan Sagbili, Mohamed Wahib, Didem Unat
2023 J jnl
Myths and Legends in High-Performance Computing.
CoRR
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
2023 J jnl
Myths and legends in high-performance computing.
Int. J. High Perform. Comput. Appl.
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
2023 A conf
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications.
ICS
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023 A conf
Revisiting Temporal Blocking Stencil Optimizations.
ICS
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023 J jnl
Revisiting Temporal Blocking Stencil Optimizations.
CoRR
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
2023 J jnl
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst.
Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong
2023 B conf
Training Knowledge Inheritance Through Deep Q-Net.
SMC
Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2023 J jnl
Ultra-Long Sequence Distributed Transformer.
CoRR
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
2022 J jnl
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache.
CoRR
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
2022 J jnl
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.
IEEE Trans. Parallel Distributed Syst.
Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng
2022 J jnl
Flash-X, a multiphysics simulation software instrument.
CoRR
Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore
2022 J jnl
Flash-X: A multiphysics simulation software instrument.
SoftwareX
Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul M. Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore
2022 A conf
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction.
SC
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
2022 J jnl
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction.
CoRR
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
2022 — conf
Learning from the Past: Regularization by Validation.
SCIS/ISIS
Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
2022 J jnl
Persistent Kernels for Iterative Memory-bound GPU Applications.
CoRR
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
2022 J jnl
Preparing for the Future - Rethinking Proxy Applications.
Comput. Sci. Eng.
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf
2022 J jnl
Preparing for the Future - Rethinking Proxy Apps.
CoRR
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf
2022 A conf
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning.
IPDPS
Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi
2021 J jnl
A computational-graph partitioning method for training memory-constrained DNNs.
Parallel Comput.
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
2021 B conf
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning.
CCGRID
Truong Thao Nguyen, Mohamed Wahib
2021 A conf
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks.
HPDC
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
2021 J jnl
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks.
CoRR
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
2021 — conf
Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms.
Euro-Par Workshops
Jared O'Neal, Mohamed Wahib, Anshu Dubey, Klaus Weide, Tom Klosterman, Johann Rudi
2021 J jnl
Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters.
Concurr. Comput. Pract. Exp.
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2021 J jnl
GTOPX space mission benchmarks.
SoftwareX
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2021 B conf
Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs.
ICPP
Jun Li, Minjun Li, Zhigang Cai, François Trahay, Mohamed Wahib, Balazs Gerofi, Zhiming Liu, Min Huang, Jianwei Liao
2021 J jnl
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
CoRR
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
2021 — conf
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
MLHPC@SC
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
2021 A conf
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?
IPDPS
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2021 J jnl
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations.
CoRR
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
2021 A conf
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations.
ICS
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
2021 A conf
Scalable FBP decomposition for cone-beam CT reconstruction.
SC
Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
2021 J jnl
Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity.
Comput. Sci. Eng.
Anshu Dubey, Martin Berzins, Carsten Burstedde, Michael L. Norman, Didem Unat, Mohamed Wahib
2020 J jnl
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs.
CoRR
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
2020 A conf
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.
IPDPS
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
2020 J jnl
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.
CoRR
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
2020 — ch.
AIMES: Advanced Computation and I/O Methods for Earth-System Simulations.
Software for Exascale Computing
Julian M. Kunkel, Nabeeh Jumah, Anastasiia Novikova, Thomas Ludwig, Hisashi Yashiro, Naoya Maruyama, Mohamed Wahib, John Thuburn
2020 J jnl
AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs.
CoRR
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
2020 A conf
AN5D: automated stencil framework for high-degree temporal blocking on GPUs.
CGO
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
2020 J jnl
GTOPX Space Mission Benchmarks.
CoRR
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2020 J jnl
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?
CoRR
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
2020 J jnl
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA.
CoRR
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2020 A conf
Scaling distributed deep learning workloads beyond the memory capacity with KARMA.
SC
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
2019 J jnl
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels.
CoRR
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019 A conf
A versatile software systolic execution model for GPU memory-bound kernels.
SC
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019 A conf
Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches?
IPDPS
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
2019 C conf
Topology-aware Sparse Allreduce for Large-scale Deep Learning.
IPCCC
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2019 J jnl
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction.
CoRR
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2019 A conf
iFDK: a scalable framework for instant high-resolution image reconstruction.
SC
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2018 J jnl
Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?
CoRR
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
2018 C conf
Efficient Algorithms for the Summed Area Tables Primitive on GPUs.
CLUSTER
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
2018 — conf
Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads.
CANDAR Workshops
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
2017 — conf
Numerical Optimization of ESA's Messenger Space Mission Benchmark.
EvoApplications (1)
Martin Schlueter, Mohamed Wahib, Masaharu Munetomo
2016 A conf
Daino: a high-level framework for parallel and efficient AMR on GPUs.
SC
Mohamed Wahib, Naoya Maruyama, Takayuki Aoki
2016 — ed.
OpenMP: Memory, Devices, and Tasks - 12th International Workshop on OpenMP, IWOMP 2016, Nara, Japan, October 5-7, 2016, Proceedings
IWOMP
Naoya Maruyama, Bronis R. de Supinski, Mohamed Wahib
2015 A conf
Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications.
HPDC
Mohamed Wahib, Naoya Maruyama
2015 — conf
Data-centric GPU-based adaptive mesh refinement.
IA3@SC
Mohamed Wahib, Naoya Maruyama
2014 A conf
Scalable Kernel Fusion for Memory-Bound GPU Applications.
SC
Mohamed Wahib, Naoya Maruyama
2013 C conf
Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES.
CLUSTER
Mohamed Wahib, Naoya Maruyama
2013 — ch.
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU.
Massively Parallel Evolutionary Computation on GPGPUs
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications.
SERVICES
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
Advanced genetic algorithm to solve MINLP problems over GPU.
IEEE Congress on Evolutionary Computation
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
Optimization of parallel Genetic Algorithms for nVidia GPUs.
IEEE Congress on Evolutionary Computation
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011 — conf
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search.
LION
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2010 B conf
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU.
IEEE Congress on Evolutionary Computation
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010 Misc conf
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment.
PDPTA
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010 J jnl
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization.
Future Gener. Comput. Syst.
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009 J jnl
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework.
Genet. Program. Evolvable Mach.
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009 C conf
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm.
PDCAT
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving.
IEEE SCC (2)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 C conf
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing.
HPCC
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application.
GRID
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 — ch.
Parallel GEAs with Linkage Analysis over Grid.
Linkage in Evolutionary Computation
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes.
GRID
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 C conf
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE.
HPCC
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2007 C conf
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing.
PDCAT
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama