Mohamed Wahib

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 69

Top Topics

Benchmark Suite

Neural Architecture

Execution Model

Top Venues

Publications

Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics 28 (1) (2024)
Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR (2024)
Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, Xiao Wang
Neural architecture search via similarity adaptive guidance. Appl. Soft Comput. 162 (2024)
Yu Xue, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj
A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism. CoRR (2024)
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
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. CoRR (2024)
Pengcheng Jiang, Yu Xue, Ferrante Neri, Mohamed Wahib
Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction. ICIC (2) (2024)
Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations. CoRR (2024)
Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Meta generative image and text data augmentation optimization. J. Supercomput. 80 (9) (2024)
Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Real-time High-resolution X-Ray Computed Tomography. ICS (2024)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. ICS (2023)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. CoRR (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR (2023)
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
Ultra-Long Sequence Distributed Transformer. CoRR (2023)
Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Training Knowledge Inheritance Through Deep Q-Net. SMC (2023)
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. NeurIPS (2023)
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. CoRR (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and Legends in High-Performance Computing. CoRR (2023)
Ismayil Ismayilov, Javid Baydamirli, Dogan Sagbili, Mohamed Wahib, Didem Unat
Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge. ICS (2023)
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
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
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
Flash-X, a multiphysics simulation software instrument. CoRR (2022)
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
Flash-X: A multiphysics simulation software instrument. SoftwareX 19 (2022)
Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
Learning from the Past: Regularization by Validation. SCIS/ISIS (2022)
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. CoRR (2022)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Applications. Comput. Sci. Eng. 24 (2) (2022)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR (2022)
Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi
Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. IPDPS (2022)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Apps. CoRR (2022)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR (2022)
Xiao Wang, Aristeidis Tsaris, Debangshu Mukherjee, Mohamed Wahib, Peng Chen, Mark Oxley, Olga Ovchinnikova, Jacob D. Hinkle
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. SC (2022)
Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
Scalable FBP decomposition for cone-beam CT reconstruction. SC (2021)
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. CoRR (2021)
Truong Thao Nguyen, Mohamed Wahib
An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. CCGRID (2021)
Jared O'Neal, Mohamed Wahib, Anshu Dubey, Klaus Weide, Tom Klosterman, Johann Rudi
Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms. Euro-Par Workshops (2021)
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters. Concurr. Comput. Pract. Exp. 33 (12) (2021)
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
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)
Jun Li, Minjun Li, Zhigang Cai, François Trahay, Mohamed Wahib, Balazs Gerofi, Zhiming Liu, Min Huang, Jianwei Liao
Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs. ICPP (2021)
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. CoRR (2021)
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
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR (2021)
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. HPDC (2021)
Anshu Dubey, Martin Berzins, Carsten Burstedde, Michael L. Norman, Didem Unat, Mohamed Wahib
Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity. Comput. Sci. Eng. 23 (5) (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS (2021)
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. ICS (2021)
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
A computational-graph partitioning method for training memory-constrained DNNs. Parallel Comput. (2021)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX space mission benchmarks. SoftwareX 14 (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. CoRR (2020)
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs. CoRR (2020)
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
AN5D: automated stencil framework for high-degree temporal blocking on GPUs. CGO (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC (2020)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX Space Mission Benchmarks. CoRR (2020)
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs. CoRR (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. IPDPS (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR (2020)
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches? IPDPS (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
iFDK: a scalable framework for instant high-resolution image reconstruction. SC (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction. CoRR (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
A versatile software systolic execution model for GPU memory-bound kernels. SC (2019)
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
Topology-aware Sparse Allreduce for Large-scale Deep Learning. IPCCC (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels. CoRR (2019)
Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano
Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. CANDAR Workshops (2018)
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches? CoRR (2018)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
Efficient Algorithms for the Summed Area Tables Primitive on GPUs. CLUSTER (2018)
Martin Schlueter, Mohamed Wahib, Masaharu Munetomo
Numerical Optimization of ESA's Messenger Space Mission Benchmark. EvoApplications (1) (2017)
Mohamed Wahib, Naoya Maruyama, Takayuki Aoki
Daino: a high-level framework for parallel and efficient AMR on GPUs. SC (2016)
Mohamed Wahib, Naoya Maruyama
Data-centric GPU-based adaptive mesh refinement. IA3@SC (2015)
Mohamed Wahib, Naoya Maruyama
Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications. HPDC (2015)
Mohamed Wahib, Naoya Maruyama
Scalable Kernel Fusion for Memory-Bound GPU Applications. SC (2014)
Mohamed Wahib, Naoya Maruyama
Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES. CLUSTER (2013)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES (2011)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION (2011)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. IEEE Congress on Evolutionary Computation (2010)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. PDPTA (2010)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. Future Gener. Comput. Syst. 26 (4) (2010)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT (2009)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. Genet. Program. Evolvable Mach. 10 (4) (2009)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. GRID (2008)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) (2008)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT (2007)