Masahiro Nakao

Orcid: 0000-0001-7848-1172

According to our database1, Masahiro Nakao authored at least 39 papers between 2008 and 2024.

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Bibliography

2024
Analysis Towards Energy-Aware Image-based In Situ Visualization on the Fugaku.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2024

On the Building of a Common In-Situ Visualization Environment for Arm A64FX Supercomputers.
Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023
Optimization Algorithm with Automatic Adjustment of the Number of Switches in the Order/Radix Problem.
IEICE Trans. Inf. Syst., December, 2023

OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA.
Proceedings of the High Performance Computing, 2023

Introducing Open OnDemand to Supercomputer Fugaku.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Evaluating DAOS Storage on ARM64 Clients.
Proceedings of the HPC Asia 2023 Workshops, 2023

2022
Graph optimization algorithm using symmetry and host bias for low-latency indirect network.
Parallel Comput., 2022

2021
Graph optimization algorithm for low-latency interconnection networks.
Parallel Comput., 2021

Performance of the Supercomputer Fugaku for Breadth-First Search in Graph500 Benchmark.
Proceedings of the High Performance Computing - 36th International Conference, 2021

XcalableACC: An Integration of XcalableMP and OpenACC.
Proceedings of the XcalableMP PGAS Programming Language, 2021

XcalableMP 2.0 and Future Directions.
Proceedings of the XcalableMP PGAS Programming Language, 2021

Implementation and Performance Evaluation of Omni Compiler.
Proceedings of the XcalableMP PGAS Programming Language, 2021

Mixed-Language Programming with XcalableMP.
Proceedings of the XcalableMP PGAS Programming Language, 2021

XcalableMP Programming Model and Language.
Proceedings of the XcalableMP PGAS Programming Language, 2021

Coarrays in the Context of XcalableMP.
Proceedings of the XcalableMP PGAS Programming Language, 2021

2020
InKS: a programming model to decouple algorithm from optimization in HPC codes.
J. Supercomput., 2020

Parallelization of All-Pairs-Shortest-Path Algorithms in Unweighted Graph.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

Performance Evaluation of Supercomputer Fugaku using Breadth-First Search Benchmark in Graph500.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Evaluation of XcalableACC with tightly coupled accelerators/InfiniBand hybrid communication on accelerated cluster.
Int. J. High Perform. Comput. Appl., 2019

Implementation and evaluation of the HPC challenge benchmark in the XcalableMP PGAS language.
Int. J. High Perform. Comput. Appl., 2019

A Method for Order/Degree Problem Based on Graph Symmetry and Simulated Annealing with MPI/OpenMP Parallelization.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2019

Multi-accelerator extension in OpenMP based on PGAS model.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2019

2018
Metaprogramming Framework for Existing HPC Languages Based on the Omni Compiler Infrastructure.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

Performance evaluation for a hydrodynamics application in XcalableACC PGAS language for accelerated clusters.
Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

Performance evaluation for omni XcalableMP compiler on many-core cluster system based on knights landing.
Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

Linkage of XcalableMP and Python languages for high productivity on HPC cluster system: application to graph order/degree problem.
Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

A Source-to-Source Translation of Coarray Fortran with MPI for High Performance.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2018

InKS, a Programming Model to Decouple Performance from Algorithm in HPC Codes.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017
Preliminary Performance Evaluation of Coarray-based Implementation of Fiber Miniapp Suite using XcalableMP PGAS Language.
Proceedings of PAW@SC 2017: Second Annual PGAS Applications Workshop, 2017

Implementing Lattice QCD Application with XcalableACC Language on Accelerated Cluster.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Implementation and Evaluation of One-sided PGAS Communication in XcalableACC for Accelerated Clusters.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2015
Hybrid Communication with TCA and InfiniBand on a Parallel Programming Language XcalableACC for GPU Clusters.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
XcalableACC: extension of XcalableMP PGAS language using OpenACC for accelerator clusters.
Proceedings of the First Workshop on Accelerator Programming using Directives, 2014

2013
A Source-to-Source OpenACC Compiler for CUDA.
Proceedings of the Euro-Par 2013: Parallel Processing Workshops, 2013

2012
Productivity and Performance of Global-View Programming with XcalableMP PGAS Language.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
Real-coded Estimation of Distribution Algorithm by Using Probabilistic Models with Multiple Learning Rates.
Proceedings of the International Conference on Computational Science, 2011

Performance Evaluation of Power-Aware Multi-tree Ethernet for HPC Interconnects.
Proceedings of the Second International Conference on Networking and Computing, 2011

2010
XcalableMP implementation and performance of NAS Parallel Benchmarks.
Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model, 2010

2008
Impact of topology and link aggregation on a PC cluster with Ethernet.
Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008


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