Mohamed Wahib

According to our database, Mohamed Wahib authored at least 67 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning from the Past Training Trajectories: Regularization by Validation.

Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo

J. Adv. Comput. Intell. Intell. Informatics, January, 2024

CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations.

Johann Rudi, Youngjun Lee, Aidan H. Chadha, Mohamed Wahib, Klaus Weide, Jared P. O'Neal, Anshu Dubey

CoRR, 2024

2023

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

ACM Trans. Archit. Code Optim., December, 2023

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.

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

IEEE Trans. Parallel Distributed Syst., October, 2023

Myths and legends in high-performance computing.

Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler

Int. J. High Perform. Comput. Appl., July, 2023

Ultra-Long Sequence Distributed Transformer.

Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley

CoRR, 2023

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt).

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

CoRR, 2023

Training Knowledge Inheritance Through Deep Q-Net.

Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training.

Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting Temporal Blocking Stencil Optimizations.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka

Proceedings of the 37th International Conference on Supercomputing, 2023

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

Proceedings of the 37th International Conference on Supercomputing, 2023

Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge.

Ismayil Ismayilov, Javid Baydamirli, Dogan Sagbili, Mohamed Wahib, Didem Unat

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.

Jintao Meng, Chen Zhuang, Peng Chen, Mohamed Wahib, Bertil Schmidt, Xiao Wang, Haidong Lan, Dou Wu, Minwen Deng, Yanjie Wei, Shengzhong Feng

IEEE Trans. Parallel Distributed Syst., 2022

Flash-X: A multiphysics simulation software instrument.

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

SoftwareX, 2022

Preparing for the Future - Rethinking Proxy Applications.

Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf

Comput. Sci. Eng., 2022

Preparing for the Future - Rethinking Proxy Apps.

Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf

CoRR, 2022

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache.

Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

CoRR, 2022

Persistent Kernels for Iterative Memory-bound GPU Applications.

Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka

CoRR, 2022

Learning from the Past: Regularization by Validation.

Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

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

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning.

Truong Thao Nguyen, François Trahay, Jens Domke, Aleksandr Drozd, Emil Vatai, Jianwei Liao, Mohamed Wahib, Balazs Gerofi

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

GTOPX space mission benchmarks.

Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner

SoftwareX, 2021

A computational-graph partitioning method for training memory-constrained DNNs.

Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat

Parallel Comput., 2021

Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity.

Anshu Dubey, Martin Berzins, Carsten Burstedde, Michael L. Norman, Didem Unat, Mohamed Wahib

Comput. Sci. Eng., 2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters.

Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano

Concurr. Comput. Pract. Exp., 2021

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

Proceedings of the International Conference for High Performance Computing, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?

Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

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

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs.

Jun Li, Minjun Li, Zhigang Cai, François Trahay, Mohamed Wahib, Balazs Gerofi, Zhiming Liu, Min Huang, Jianwei Liao

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

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

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms.

Jared O'Neal, Mohamed Wahib, Anshu Dubey, Klaus Weide, Tom Klosterman, Johann Rudi

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning.

Truong Thao Nguyen, Mohamed Wahib

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

AIMES: Advanced Computation and I/O Methods for Earth-System Simulations.

Julian M. Kunkel, Nabeeh Jumah, Anastasiia Novikova, Thomas Ludwig, Hisashi Yashiro, Naoya Maruyama, Mohamed Wahib, John Thuburn

Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020

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

Proceedings of the International Conference for High Performance Computing, 2020

A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs.

Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

AN5D: automated stencil framework for high-degree temporal blocking on GPUs.

Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

iFDK: a scalable framework for instant high-resolution image reconstruction.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2019

A versatile software systolic execution model for GPU memory-bound kernels.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2019

Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches?

Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Topology-aware Sparse Allreduce for Large-scale Deep Learning.

Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

2018

Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads.

Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano

Proceedings of the Sixth International Symposium on Computing and Networking, 2018

Efficient Algorithms for the Summed Area Tables Primitive on GPUs.

Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

Numerical Optimization of ESA's Messenger Space Mission Benchmark.

Martin Schlueter, Mohamed Wahib, Masaharu Munetomo

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Daino: a high-level framework for parallel and efficient AMR on GPUs.

Mohamed Wahib, Naoya Maruyama, Takayuki Aoki

Proceedings of the International Conference for High Performance Computing, 2016

2015

Data-centric GPU-based adaptive mesh refinement.

Mohamed Wahib, Naoya Maruyama

Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications.

Mohamed Wahib, Naoya Maruyama

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Scalable Kernel Fusion for Memory-Bound GPU Applications.

Mohamed Wahib, Naoya Maruyama

Proceedings of the International Conference for High Performance Computing, 2014

2013

arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the Massively Parallel Evolutionary Computation on GPGPUs, 2013

Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES.

Mohamed Wahib, Naoya Maruyama

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2011

A Framework for Cloud Embedded Web Services Utilized by Cloud Applications.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the World Congress on Services, 2011

Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Optimization of parallel Genetic Algorithms for nVidia GPUs.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Advanced genetic algorithm to solve MINLP problems over GPU.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Future Gener. Comput. Syst., 2010

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

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Genet. Program. Evolvable Mach., 2009

Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 2009 International Conference on Parallel and Distributed Computing, 2009

2008

Parallel GEAs with Linkage Analysis over Grid.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the Linkage in Evolutionary Computation, 2008

A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE.

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007

MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing.

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Proceedings of the Eighth International Conference on Parallel and Distributed Computing, 2007