The Outline Procedure in Pattern Data Preparation for Vector-Scan Electron-Beam Lithography. - Kazuhiko Komatsu; Masanori Suzuki (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1987)

Ray Tracing Hardware System Using Plane-Sphere Intersections. - Yoshiyuki Kaeriyama; Daichi Zaitsu; Kazuhiko Komatsu; Ken-ichi Suzuki; Tadao Nakamura; Nobuyuki Ohba (FPL, 2006)

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications. - Hiroyuki Takizawa; Katsuto Sato; Kazuhiko Komatsu; Hiroaki Kobayashi (PDCAT, 2009)

Automatic Tuning of CUDA Execution Parameters for Stencil Processing. - Katsuto Sato; Hiroyuki Takizawa; Kazuhiko Komatsu; Hiroaki Kobayashi (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

A Fast Ray-Tracing Using Bounding Spheres and Frustum Rays for Dynamic Scene Rendering. - Ken-ichi Suzuki; Yoshiyuki Kaeriyama; Kazuhiko Komatsu; Ryusuke Egawa; Nobuyuki Ohba; Hiroaki Kobayashi (IEICE Trans. Inf. Syst., 2010)

CheCL: Transparent Checkpointing and Process Migration of OpenCL Applications. - Hiroyuki Takizawa; Kentaro Koyama; Katsuto Sato; Kazuhiko Komatsu; Hiroaki Kobayashi (IPDPS, 2011)

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems. - Katsuto Sato; Kazuhiko Komatsu; Hiroyuki Takizawa; Hiroaki Kobayashi (ISPA, 2011)

A Compiler-Assisted OpenMP Migration Method Based on Automatic Parallelizing Information. - Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa; Hiroaki Kobayashi (ISC, 2014)

An energy-efficient dynamic memory address mapping mechanism. - Masayuki Sato 001; Chengguang Han; Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa; Hiroaki Kobayashi (COOL Chips, 2015)

Migration of an Atmospheric Simulation Code to an OpenACC Platform Using the Xevolver Framework. - Kazuhiko Komatsu; Ryusuke Egawa; Shoichi Hirasawa; Hiroyuki Takizawa; Ken'ichi Itakura; Hiroaki Kobayashi (CANDAR, 2015)

A Directive Generation Approach Using User-Defined Rules. - Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa; Hiroaki Kobayashi (CANDAR, 2016)

Translation of Large-Scale Simulation Codes for an OpenACC Platform Using the Xevolver Framework. - Kazuhiko Komatsu; Ryusuke Egawa; Shoichi Hirasawa; Hiroyuki Takizawa; Ken'ichi Itakura; Hiroaki Kobayashi (Int. J. Netw. Comput., 2016)

Performance and Power Analysis of SX-ACE Using HP-X Benchmark Programs. - Ryusuke Egawa; Kazuhiko Komatsu; Yoko Isobe; Toshihiro Kato; Souya Fujimoto; Hiroyuki Takizawa; Akihiro Musa; Hiroaki Kobayashi (CLUSTER, 2017)

Vectorization-Aware Loop Optimization with User-Defined Code Transformations. - Hiroyuki Takizawa; Thorsten Reimann; Kazuhiko Komatsu; Takashi Soga; Ryusuke Egawa; Akihiro Musa; Hiroaki Kobayashi (CLUSTER, 2017)

A Memory Congestion-Aware MPI Process Placement for Modern NUMA Systems. - Mulya Agung; Muhammad Alfian Amrizal; Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa (HiPC, 2017)

Designing an Open Database of System-Aware Code Optimizations. - Ryusuke Egawa; Kazuhiko Komatsu; Hiroyuki Takizawa (CANDAR, 2017)

An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning. - Hiroyuki Takizawa; Muhammad Alfian Amrizal; Kazuhiko Komatsu; Ryusuke Egawa (CANDAR, 2017)

A Directive Generation Approach to High Code-Maintainability for Various HPC Systems. - Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa; Hiroaki Kobayashi (Int. J. Netw. Comput., 2017)

Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE. - Ryusuke Egawa; Kazuhiko Komatsu; Shintaro Momose; Yoko Isobe; Akihiro Musa; Hiroyuki Takizawa; Hiroaki Kobayashi (J. Supercomput., 2017)

Use of Code Structural Features for Machine Learning to Predict Effective Optimizations. - Yuki Kawarabatake; Mulya Agung; Kazuhiko Komatsu; Ryusuke Egawa; Hiroyuki Takizawa (IPDPS Workshops, 2018)

Search Space Reduction for Parameter Tuning of a Tsunami Simulation on the Intel Knights Landing Processor. - Kazuhiko Komatsu; Takumi Kishitani; Masayuki Sato 001; Akihiro Musa; Hiroaki Kobayashi (MCSoC, 2018)

Performance evaluation of a vector supercomputer SX-aurora TSUBASA. - Kazuhiko Komatsu; Shintaro Momose; Yoko Isobe; Osamu Watanabe; Akihiro Musa; Mitsuo Yokokawa; Toshikazu Aoyama; Masayuki Sato 001; Hiroaki Kobayashi (SC, 2018)

Developing Efficient Implementations of Bellman-Ford and Forward-Backward Graph Algorithms for NEC SX-ACE. - Ilya V. Afanasyev; Alexander S. Antonov; Dmitry A. Nikitenko; Vadim V. Voevodin; Vladimir V. Voevodin; Kazuhiko Komatsu; Osamu Watanabe; Akihiro Musa; Hiroaki Kobayashi (Supercomput. Front. Innov., 2018)

Perceptron-based Cache Bypassing for Way-Adaptable Caches. - Masayuki Sato 001; Yongcheng Chen; Haruya Kikuchi; Kazuhiko Komatsu; Hiroaki Kobayashi (COOL CHIPS, 2019)

Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA. - Akihiro Musa; Takashi Abe; Takumi Kishitani; Takuya Inoue; Masayuki Sato 001; Kazuhiko Komatsu; Yoichi Murashima; Shunichi Koshimura; Hiroaki Kobayashi (ICCS (2), 2019)

An Appropriate Computing System and Its System Parameters Selection Based on Bottleneck Prediction of Applications. - Kazuhiko Komatsu; Takumi Kishitani; Masayuki Sato 001; Hiroaki Kobayashi (IPDPS Workshops, 2019)

Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors. - Ilya V. Afanasyev; Vadim V. Voevodin; Vladimir V. Voevodin; Kazuhiko Komatsu; Hiroaki Kobayashi (PaCT, 2019)

A Hardware Prefetching Mechanism for Vector Gather Instructions. - Hikaru Takayashiki; Masayuki Sato 001; Kazuhiko Komatsu; Hiroaki Kobayashi (IA3@SC, 2019)

Optimizing Memory Layout of Hyperplane Ordering for Vector Supercomputer SX-Aurora TSUBASA. - Osamu Watanabe; Yuta Hougi; Kazuhiko Komatsu; Masayuki Sato 001; Akihiro Musa; Hiroaki Kobayashi (MCHPC@SC, 2019)

A Skewed Multi-banked Cache for Many-core Vector Processors. - Hikaru Takayashiki; Masayuki Sato 001; Kazuhiko Komatsu; Hiroaki Kobayashi (Supercomput. Front. Innov., 2019)

Performance Evaluation of Different Implementation Schemes of an Iterative Flow Solver on Modern Vector Machines. - Kenta Yamaguchi; Takashi Soga; Yoichi Shimomura; Thorsten Reimann; Kazuhiko Komatsu; Ryusuke Egawa; Akihiro Musa; Hiroyuki Takizawa; Hiroaki Kobayashi (Supercomput. Front. Innov., 2019)

Optimization of the Himeno Benchmark for SX-Aurora TSUBASA. - Akito Onodera; Kazuhiko Komatsu; Soya Fujimoto; Yoko Isobe; Masayuki Sato 001; Hiroaki Kobayashi (Bench, 2020)

Energy-efficient Design of an STT-RAM-based Hybrid Cache Architecture. - Masayuki Sato 001; Xue Hao; Kazuhiko Komatsu; Hiroaki Kobayashi (COOL CHIPS, 2020)

Combinatorial Clustering Based on an Externally-Defined One-Hot Constraint. - Masahito Kumagai; Kazuhiko Komatsu; Fumiyo Takano; Takuya Araki; Masayuki Sato 001; Hiroaki Kobayashi (CANDAR, 2020)

An Efficient Skinny Matrix-Matrix Multiplication Method by Folding Input Matrices into Tensor Core Operations. - Hao Tang; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (CANDAR (Workshops), 2020)

Workshop 14: iWAPT Automatic Performance Tuning. - I-Hsin Chung; Kazuhiko Komatsu (IPDPS Workshops, 2020)

Importance of Selecting Data Layouts in the Tsunami Simulation Code. - Takumi Kishitani; Kazuhiko Komatsu; Masayuki Sato 001; Akihiro Musa; Hiroaki Kobayashi (IPDPS Workshops, 2020)

I/O Performance of the SX-Aurora TSUBASA. - Mitsuo Yokokawa; Ayano Nakai; Kazuhiko Komatsu; Yuta Watanabe; Yasuhisa Masaoka; Yoko Isobe; Hiroaki Kobayashi (IPDPS Workshops, 2020)

A Deep Reinforcement Learning Based Feature Selector. - Yiran Cheng; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (PAAP, 2020)

A Dynamic Parameter Tuning Method for High Performance SpMM. - Bin Qi; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (PDCAT, 2020)

Xevolver: A code transformation framework for separation of system-awareness from application codes. - Kazuhiko Komatsu; Ayumu Gomi; Ryusuke Egawa; Daisuke Takahashi; Reiji Suda; Hiroyuki Takizawa (Concurr. Comput. Pract. Exp., 2020)

An Externally-Constrained Ising Clustering Method for Material Informatics. - Kazuhiko Komatsu; Masahito Kumagai; Ji Qi; Masayuki Sato 001; Hiroaki Kobayashi (CANDAR (Workshops), 2021)

A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs. - Kou Murakami; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (IPDPS Workshops, 2021)

Ising-Based Combinatorial Clustering Using the Kernel Method. - Masahito Kumagai; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (MCSoC, 2021)

Optimizations of a Linear Matrix Solver in a Composite Simulation for a Vector Computer. - Zhilin He 006; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (PAAP, 2021)

Register Flush-free Runahead Execution for Modern Vector Processors. - Hikaru Takayashiki; Masayuki Sato 001; Kazuhiko Komatsu; Hiroaki Kobayashi (SBAC-PAD, 2021)

An External Definition of the One-Hot Constraint and Fast QUBO Generation for High-Performance Combinatorial Clustering. - Masahito Kumagai; Kazuhiko Komatsu; Fumiyo Takano; Takuya Araki; Masayuki Sato 001; Hiroaki Kobayashi (Int. J. Netw. Comput., 2021)

Efficient Mixed-Precision Tall-and-Skinny Matrix-Matrix Multiplication for GPUs. - Hao Tang; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (Int. J. Netw. Comput., 2021)

Distributed Graph Algorithms for Multiple Vector Engines of NEC SX-Aurora TSUBASA Systems. - Ilya V. Afanasyev; Vadim V. Voevodin; Kazuhiko Komatsu; Hiroaki Kobayashi (Supercomput. Front. Innov., 2021)

Performance and Power Analysis of a Vector Computing System. - Kazuhiko Komatsu; Akito Onodera; Erich Focht; Soya Fujimoto; Yoko Isobe; Shintaro Momose; Masayuki Sato 001; Hiroaki Kobayashi (Supercomput. Front. Innov., 2021)

Optimizing Load Balance in a Parallel CFD Code for a Large-scale Turbine Simulation on a Vector Supercomputer. - Osamu Watanabe; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (Supercomput. Front. Innov., 2021)

VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture. - Ilya V. Afanasyev; Vladimir V. Voevodin; Kazuhiko Komatsu; Hiroaki Kobayashi (J. Supercomput., 2021)

High-Performance GraphBLAS Backend Prototype for NEC SX-Aurora TSUBASA. - Ilya V. Afanasyev; Kazuhiko Komatsu; Dmitry I. Lichmanov; Vadim V. Voevodin; Hiroaki Kobayashi (IPDPS Workshops, 2022)

Analysis of Precision Vectors for Ising-Based Linear Regression. - Kaho Aoyama; Kazuhiko Komatsu; Masahito Kumagai; Hiroaki Kobayashi (PDCAT, 2022)

A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders. - Masayuki Sato 001; Yuya Omori; Ryusuke Egawa; Ken Nakamura; Daisuke Kobayashi; Hiroe Iwasaki; Kazuhiko Komatsu; Hiroaki Kobayashi (PDCAT, 2022)

Page-Address Coalescing of Vector Gather Instructions for Efficient Address Translation. - Hikaru Takayashiki; Masayuki Sato 001; Kazuhiko Komatsu; Hiroaki Kobayashi (IA3@SC, 2022)

A Metadata Prefetching Mechanism for Hybrid Memory Architectures. - Shunsuke Tsukada; Hikaru Takayashiki; Masayuki Sato 001; Kazuhiko Komatsu; Hiroaki Kobayashi (IEICE Trans. Electron., 2022)

Performance Evaluation of Tsunami Evacuation Route Planning on Multiple Annealing Machines. - Yihui Liu; Kazuhiko Komatsu; Masahito Kumagai; Masayuki Sato 001; Hiroaki Kobayashi (CF, 2023)

Multi-scale Loss based Electron Microscopic Image Pair Matching Method. - Chunting Duan; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (ICMLA, 2023)

I/O Performance Evaluation of a Memory-Saving DNS Code on SX-Aurora TSUBASA. - Mitsuo Yokokawa; Yuki Yamane; Kenta Yamaguchi; Takashi Soga; Taiki Matsumoto; Akihiro Musa; Kazuhiko Komatsu; Takashi Ishihara; Hiroaki Kobayashi (IPDPS Workshops, 2023)

Appropriate Graph-Algorithm Selection for Edge Devices Using Machine Learning. - Yusuke Fukasawa; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (MCSoC, 2023)

A Constraint Partition Method for Combinatorial Optimization Problems. - Makoto Onoda; Kazuhiko Komatsu; Masahito Kumagai; Masayuki Sato 001; Hiroaki Kobayashi (MCSoC, 2023)

Investigating the Characteristics of Ising Machines. - Kazuhiko Komatsu; Makoto Onoda; Masahito Kumagai; Hiroaki Kobayashi (QCE, 2023)

A dynamic parameter tuning method for SpMM parallel execution. - Bin Qi; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (Concurr. Comput. Pract. Exp., 2023)

Ising-Based Kernel Clustering. - Masahito Kumagai; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (Algorithms, 2023)

A Graph-based Molecular Structure Identification Method via Feature Extraction for Three-dimensional Electron Diffraction Data. - Yusuke Fukasawa; Kazuhiko Komatsu; Masayuki Sato 001; Saori Maki-Yonekura; Hirofumi Kurokawa; Koji Yonekura; Hiroaki Kobayashi (CANDARW, 2024)

Adaptive Parallelization based on Frame-level and Tile-level Parallelisms for VVC Encoding. - Karin Onouchi; Masayuki Sato 001; Hiroe Iwasaki; Kazuhiko Komatsu; Hiroaki Kobayashi (CANDAR, 2024)

File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-Core Direct Numerical Simulation Code of Turbulence. - Yuto Hatanaka; Yuki Yamane; Kenta Yamaguchi; Takashi Soga; Akihiro Musa; Takashi Ishihara; Atsuya Uno; Kazuhiko Komatsu; Hiroaki Kobayashi; Mitsuo Yokokawa (ICCS (6), 2024)

An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence. - Mitsuo Yokokawa; Taiki Matsumoto; Ryo Takegami; Yukiya Sugiura; Naoki Watanabe; Yoshiki Sakurai; Takashi Ishihara; Kazuhiko Komatsu; Hiroaki Kobayashi (ICCS (2), 2024)

An Ising-based Decision Method for Intra Prediction Mode in Video Coding. - Takuto Momominami; Naoya Niwa; Masahito Kumagai; Kazuhiko Komatsu; Hiroaki Kobayashi; Hiroe Iwasaki (SC Workshops, 2024)

A Compressed QUBO Format for Traveling Salesperson Problems. - Chu-Yuan Huang; Kazuhiko Komatsu; Makoto Onoda; Masahito Kumagai; Masayuki Sato 001; Hiroaki Kobayashi (IPDPS (Workshops), 2025)

Performance Evaluation of Vector Annealing on Multiple Nodes Using the Traveling Salesperson Problem. - Makoto Onoda; Kazuhiko Komatsu; Kotaro Bannai; Shintaro Momose; Masayuki Sato 001; Hiroaki Kobayashi (ISC, 2025)