PUBLICATIONS

The latest publication list is available at:

2018

InProceedings

 

  • Peng Chen,Wahib Mohamed,Takizawa Shinichiro,Satoshi Matsuoka.Pushing the Limits for 2D Convolution Computation On CUDA-enabled GPUs.In 第163回ハイパフォーマンスコンピューティング研究発表会.
  • Hamid reza Zohouri,Artur Podobas,Satoshi Matsuoka.Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL.In 26th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA).https://doi.org/10.1145/3174243.3174248.

Others

 

  • Yosuke Oyama,Tal Ben-nun,Torsten Hoefler,Satoshi Matsuoka.μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching.

2017

InProceedings

 

  • Yosuke Oyama,Tal Ben-Nun,Torsten Hoefler,Satoshi Matsuoka.Less is More: Accelerating Deep Neural Networks with Micro-Batching.In 第162回ハイパフォーマンスコンピューティング研究発表会.http://id.nii.ac.jp/1001/00184814/.
  • Shota Kuroda,Toshio Endo,Satoshi Matsuoka.Applying Temporal Blocking with a Directive-based Approach..In In Proceedings of Fourth Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC), in conjuntion with SC17.
  • Toshio Endo,Satoshi Matsuoka.TSUBAME3.0: A Green, Accelerated, Big-Data Supercomputer.In ATIP Workshop on International Exascale and Next-Generation Computing Programs, in conjunction with SC17..
  • Ikuro Sato,Ryo Fujisaki,Yosuke Oyama,Akihiro Nomura,Satoshi Matsuoka.Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear PredictionModel for Parameter Transition.In The 24th International Conference On Neural Information Processing (ICONIP 2017).https://doi.org/10.1007/978-3-319-70096-0_32.
  • Kevin Brown,Satoshi Matsuoka.Co-locating Graph Analytics and HPC Applications.In 2017 IEEE International Conference on Cluster Computing (CLUSTER).10.1109/CLUSTER.2017.111.
  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.High-performance and Memory-saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU.In International Conference on Parallel Processing.
  • Yosuke Oyama,Akihiro Nomura,Ikuro Sato,Hiroki Nishimura,Yukimasa Tamatsu,Satoshi Matsuoka.Predicting Probabilistic Parameters of a Large-Scale Asynchronous SGD Deep Learning System.In GPU Technology Conference 2017 (GTC 2017).

Others

 

  • Satoshi Matsuoka,Toshio Endo,Akira Nukada,Shinichi Miura,Akihiro Nomura,Hitoshi Sato,Hideyuki Jitsumoto,Aleksandr Drozd.Overview of TSUBAME3.0, Green Cloud Supercomputer for Convergence of HPC, AI and Big-Data ..

2016

InProceedings

 

  • Jian Guo,Kun Qian,Huijie Xu,Christoph Janott,Bj¨orn Schuller,Satoshi Matsuoka.GPU-Based Fast Signal Processing for Large Amounts of Snore Sound Data.In 2016 IEEE 5th Global Conference on Consumer Electronics.
  • Yosuke Oyama,Akihiro Nomura,Ikuro Sato,Hiroki Nishimura,Yukimasa Tamatsu,Satoshi Matsuoka.Predicting Statistics of Asynchronous SGD Parameters for a Large-Scale Distributed Deep Learning System on GPU Supercomputers.In 2016 IEEE International Conference on Big Data (IEEE BigData 2016).https://doi.org/10.1109/BigData.2016.7840590.
  • Keisuke Fukuda,Motohiko Matsuda,Naoya Maruyama,Rio Yokota,Kenjiro Taura,Satoshi Matsuoka.Tapas: An Implicitly Parallel ProgrammingFramework For Hierarchical N-body Algorithms.In The 22nd IEEE International Conference on Parallel And Distributed Systems.https://doi.org/10.1109/ICPADS.2016.0145.
  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.Fast Sparse General Matrix-Matrix Multiplication on GPU with Low Memory Usage.In The International Conference for High Performance Computing, Networking, Storage and Analysis (SC16).
  • Mateusz jaroslaw Bysiek,Aleksandr Drozd,Satoshi Matsuoka.Migrating Legacy Fortran to Python While Retaining Fortran-Level Performance Through Transpilation and Type Hints.In 6th Workshop on Python for High-Performance and Scientific Computing.10.1109/PyHPC.2016.006.
  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU.In International Conference on Computational Science (ICCS 2016).http://dx.doi.org/10.1016/j.procs.2016.05.304.
  • Yuya Kobayashi,Hideyuki Jitsumoto,Akihiro Nomura,Satoshi Matsuoka.Evaluating tolerance of applications against realistic DRAM faults.In The 25th International Symposium on High-Performance Parallel and Distributed Computing.
  • Satoshi Matsuoka,Hideharu Amano,Kengo Nakajima,Koji Inoue,Tomohiro Kudoh,Naoya Maruyama,Kenjiro Taura,Takeshi Iwashita,Takahiro Katagiri,Toshihiro Hanawa,Toshio Endo.From FLOPS to BYTES: Disruptive Change in High-Performance Computing towards the Post-Moore Era.In In proceedings of the ACM International Conference on Computing Frontiers (CF'16).
  • Yousuke Oyama,Akihiro Nomura,Ikuro Sato,Hiroki Nishimura,Yukimasa Tamatsu,Satoshi Matsuoka.Training Condition Conscious Performance Modeling of an Asynchronous Data-Parallel Deep Learning System.In ACM Symposium on High-Performance Parallel and Distributed Computing.
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.Reducing Remote GPU Execution’s Overhead with mrCUDA.In GPU Technology Conference (GTC).
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.Serving More GPU Jobs in Multi-GPU Batch-Queue Systems using Remote GPU Execution and Migration.In 情報処理学会 第153回ハイパフォーマンスコンピューティング研究発表会.

2015

InProceedings

 

  • Kevin Brown,Jens Domke,Satoshi Matsuoka.Hardware-Centric Analysis of Network Performance for MPI Applications.In 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS).https://doi.org/10.1109/ICPADS.2015.92.
  • Toshio Endo,Yuki Takasaki,Satoshi Matsuoka.Realizing Extremely Large-Scale Stencil Applications on GPU Supercomputers.
  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.Multi-level Blocking Optimization for Fast Sparse Matrix Vector Multiplication on GPUs.In The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15).
  • Toshio Endo,Akira Nukada,Satoshi Matsuoka.Power Capping Scheduling on TSUBAME2.5 and Upgrade of TSUBAME-KFC..In Building Energy Efficient HPC Working Group Workshop, held with SC15.
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.mrCUDA: Low-Overhead Middleware for Transparently Migrating CUDA Execution from Remote to Local GPUs.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC15).
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.mrCUDA: Low-Overhead Middleware for Live Migrating Remote GPU Execution to Local GPU Execution.In GTC Japan Poster Session.
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.mrCUDA: A middleware for migrating rCUDA virtual GPUs to native GPUs.In 2015年並列／分散／協調処理に関する『別府』サマー・ワークショップ (SWoPP2015).
  • Toshio Endo,Satoshi Matsuoka.Realizing Extremely Large-Scale Stencil Applications on GPU Supercomputers with a Memory Hierarchy Management Runtime Library. Workshop on Programming Abstractions for Data Locality (PADAL 2015), Berkeley.
  • Naoto Sasaki,Kento Sato,Toshio Endo,Satoshi Matsuoka.Exploration of Lossy Compression for Application-level Checkpoint/Restart.In IEEE International Conference on Parallel and Distributed Processing Symposium 2015 (IPDPS2015).
  • Abdelhalim Amer,Huiwei Lu,Pavan Balaji,Satoshi Matsuoka.MPI+ Threads: Runtime Contention and Remedies.In ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.10.1145/2688500.2688522.
  • Zhang Chaojie,Koichi Shirahata,Shuji Suzuki,Yutaka Akiyama,Satoshi Matsuoka.Performance Analysis of MapReduce Implementations for High Performance Homology Search.In 2015年ハイパフォーマンスコンピューティングと計算科学シンポジウム.

2014

Article

 

  • Satoshi Matsuoka,Hitoshi Sato,Osamu Tatebe,Michihiro Koibuchi,Ikki Fujiwara,Shuji Suzuki,Masanori Kakuta,Takashi Ishida,Yutaka Akiyama,Toyotaro Suzumura,Koji Ueno,Hiroki Kanezashi,Takemasa Miyoshi..Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year.

Book

 

  • Gul Agha,Atsushi Igarashi,Naoki Kobayashi,Hidehiko Masuhara,Etsuya Shibayama,Kenjiro Taura,Satoshi Matsuoka,Akinori Yonezawa.Concurrent Objects and Beyond.

InProceedings

 

  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.Cache-aware Sparse Matrix Formats for Kepler GPU.In International Conference on Parallel and Distributed Systems (ICPADS2014).http://dx.doi.org/10.1109/PADSW.2014.7097819.
  • Toshio Endo,Akira Nukada,Satoshi Matsuoka.TSUBAME-KFC: a Modern Liquid Submersion Cooling Prototype towards Exascale Becoming the Greenest Supercomputer in the World.In The 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2014).
  • Pak Markthub,Akihiro Nomura,Satoshi Matsuoka.Using rCUDA to Reduce GPU Resource-assignment Fragmentation caused by Job Scheduler.In The 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT2014).http://dx.doi.org/10.1109/PDCAT.2014.26.
  • Hideyuki Shamoto,Koichi Shirahata,Aleksandr Drozd,Hitoshi Sato,Satoshi Matsuoka.Large-scale Distributed Sorting for GPU-based Heterogeneous Supercomputers.In IEEE BigData 2014.
  • Keita Iwabuchi,Hitoshi Sato,Yuichiro Yasui,Katsuki Fujisawa,Satoshi Matsuoka.NVM-based Hybrid BFS with Memory Efficient Data Structure.In 2014 IEEE International Conference on BigData (IEEE BigData 2014).
  • Chih-Song Kuo,Aamer Shah,Akihiro Nomura,Satoshi Matsuoka,Felix Wolf.How File Access Patterns Influence Interference Among Cluster Applications.In IEEE International Conference on Cluster Computing (CLUSTER2014).
  • Koichi Shirahata,Hitoshi Sato,Satoshi Matsuoka.Out-of-core GPU Memory Management for MapReduce-based Large-scale Graph Processing.In IEEE Cluster 2014.
  • Kevin Brown,Jens Domke,Satoshi Matsuoka.Tracing Data Movements within MPI Collectives.In EuroMPI/ASIA '14 Proceedings of the 21st European MPI Users' Group Meeting.https://doi.org/10.1145/2642769.2642789.
  • Hideyuki Shamoto,Koichi Shirahata,Aleksandr Drozd,Hitoshi Sato,Satoshi Matsuoka.GPU Implementation of Splitter-based Parallel Sorting for Large-scale Heterogeneous Architectures.In GTC Japan 2014.
  • Akihiro Nomura,Shinichi Miura,Toshio Endo,Satoshi Matsuoka.Application Performance Characterization towards Exa-Scale Supercomputers.In HPC in Asia 2014.
  • Yusuke Nagasaka,Akira Nukada,Satoshi Matsuoka.Cache-aware Sparse Matrix Format for GPU.In International Superconputing Conference (ISC'14) HPC in Asia Posters.
  • Kento Sato,Kathryn Mohror,Adam Moody,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.A User-level InfiniBand-based File System and Checkpoint Strategy for Burst Buffers.In The 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2014).
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.FMI: Fault Tolerant Messaging Interface for Fast and Transparent Recovery.In The IEEE International Conference on Parallel and Distributed Processing Symposium 2014 (IPDPS2014).
  • Katsuki Fujisawa,Toshio Endo,Yuichiro Yasui,Hitoshi Sato,Naoki Matsuzawa,Satoshi Matsuoka,Hayato Waki.Peta-scale General Solver for Semidefinite Programming Problems with over Two Million Constraints.In IEEE International Conference on Parallel and Distributed Processing Symposium 2014 (IPDPS2014).DOI:10.1109/IPDPS.2014.121.
  • Kento Sato,Akira Nukada,Naoya Maruyama,Satoshi Matsuoka.I/O acceleration with GPU for I/O-bound Applications.In GPU Technology Conference 2014.
  • Koichi Shirahata,Hitoshi Sato,Satoshi Matsuoka.Preliminary I/O Performance Evaluation on GPU Accelerator and External Memory.In GPU Technology Conference 2014.

2013

InProceedings

 

  • Chih-Song Kuo,Akihiro Nomura,Satoshi Matsuoka,Aamer Shah,Felix Wolf,Ilya Zhukov.Environment Matters: How Competition for I/O among Applications Degrades their Performance.In 第199回計算機アーキテクチャ・第142回ハイパフォーマンスコンピューティング合同研究発表会（HOKKE-21).
  • Kento Sato,Satoshi Matsuoka,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama.Burst SSD Buffer: Checkpoint Strategy at Extreme Scale.In IPSJ SIG Technical Reports 2013-HPC-141.
  • Guanghao Jin,Toshio Endo,Satoshi Matsuoka.A Parallel Optimization Method for Stencil Computation on the Domain that is Bigger than Memory Capacity of GPUs.In IEEE Cluster Computing (CLUSTER2013).10.1109/CLUSTER.2013.6702633.
  • Takafumi Saito,Kento Sato,Hitoshi Sato,Satoshi Matsuoka.Energy-aware I/O Optimization for Checkpoint and Restart on a NAND Flash Memory System.In The Workshop on Fault-Tolerance for HPC at Extreme Scale 2013 (FTXS2013) in conjunction with the International Symposium on High Performance Parallel and Distributed Computing (HPDC13).
  • Abdelhalim Amer,Naoya Maruyama,Miquel Pericas,Kenjiro Taura,Rio Yokota,Satoshi Matsuoka.Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM.In International Supercomputing Conference.
  • Guanghao Jin,Toshio Endo,Satoshi Matsuoka.A Multi-level Optimization Method for Stencil Computation on the Domain that is Bigger than Memory Capacity of GPU.In The Third International Workshop on Accelerators and Hybrid Exascale Systems (AsHES).10.1109/IPDPSW.2013.58.
  • Koichi Shirahata,Hitoshi Sato,Toyotaro Suzumura,Satoshi Matsuoka.A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-scale Heterogeneous Supercomputers.In 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013).
  • Tetsuya Hoshino,Naoya Maruyama,Satoshi Matsuoka,Ryoji Takaki.CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory Bound CFD Application.In 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
  • Koichi Shirahata,Hitoshi Sato,Toyotaro Suzumura,Satoshi Matsuoka.A Scalable Implementation of a MapReduce-based Graph Algorithm for Large-scale Heterogeneous Supercomputers.In GPU Technology Conference 2013.
  • Tetsuya Hoshino,Naoya Maruyama,Satoshi Matsuoka.CUDA vs OpenACC: Performance Case Studies.In GPU Technology Conference.
  • Tetsuya Hoshino,Naoya Maruyama,Satoshi Matsuoka.Porting and Optimizing a Large-Scale CFD application with CUDA and OpenACC.In Society for Industrial and Applied Mathematics Conference on Computational Science and Engineering.
  • Aleksandr Drozd,Naoya Maruyama,Satoshi Matsuoka.A Multi GPU Read Alignment Algorithm with Model-based Performance Optimization.In Vecpar 2012.http://dx.doi.org/10.1007/978-3-642-38718-0_27.
  • Keisuke Fukuda,Naoya Maruyama,Miquel Pericas,Satoshi Matsuoka.Fast Multipole Method on a Dynamic Scheduling Engine on Heterogeneous Environments.In GPU Technology Conference.
  • Abdelhalim Amer,Naoya Maruyama,Miquel Pericas,Kenjiro Taura,Rio Yokota,Satoshi Matsuoka.Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM.In International Supercomputing Conference.10.1007/978-3-642-38750-0_19.

2012

InProceedings

 

  • Shinichiro Takizawa,Satoshi Matsuoka,Masanaru Munetomo,Taizo Kobayashi,Hideyuki Jitsumoto.A Virtual Machine Hosting System on e-Scinece Cyberinfrastructure.In The 1st International Workshop on Cloud Computing and Applications (IWCCA 2012).
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.Design and Modeling of a Non-Blocking Checkpoint System.In the International Conference on High Performance Computing, Networking, Storage and Analysis (SC'12).
  • Katsuki Fujisawa,Toshio Endo,Hitoshi Sato,Makoto Yamashita,Satoshi Matsuoka,Maho Nakata.High-Performance General Solver for Extremely Large-scale Semidefinite Programming Problems.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC12).
  • Akira Nukada,Kento Sato,Satoshi Matsuoka.Scalable Multi-GPU 3-D FFT for TSUBAME 2.0 Supercomputer.In 2012 ACM/IEEE International Conference for High Performance, Networking, Storage, and Analysis (SC’12).
  • Koichi Shirahata,Hitoshi Sato,Toyotaro Suzumura,Satoshi Matsuoka.A GPU Implementation of Generalized Graph Processing Algorithm GIM-V.In The 3rd International Workshop on Parallel Algorithm and Parallel Software (IWPAPS 2012).
  • Leonardo Bautista,Thomas Ropars,Franck Cappello,Naoya Maruyama,Satoshi Matsuoka.Hierarchical Clustering Strategies for Fault Tolerance in Large Scale HPC Systems.In IEEE International Conference on Cluster Computing.
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.Design and Modeling of an Asynchronous Checkpointing System.In IPSJ SIG Technical Reports 2012-HPC-135 (SWoPP 2012).
  • Leonardo Bautista,Bogdan Nicolae,Naoya Maruyama,Franck Cappello,Satoshi Matsuoka.Scalable Reed-Solomon-based Reliable Local Storage for HPC Applications in IaaS Clouds.In International European Conference on Parallel and Distributed Computing.
  • Abdelhalim Amer,Ahmed Toufik,Walid-khaled Hidouci,Satoshi Matsuoka.Using Bittorrent and SVC for efficient video sharing and streaming.In IEEE Symposium on Computers and Communications (ISCC).10.1109/ISCC.2012.6249352.
  • Akihiro Nomura,Yutaka Ishikawa,Naoya Maruyama,Satoshi Matsuoka.Implementation of Efficient Non-blocking Collective Communication Framework.In HPC in Asia Workshop.
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.Towards a Light-weight Non-blocking Checkpointing System.In HPC in Asia Workshop in conjunction with the 2012 International Supercomputing Conference (ISC’12).
  • Akihiro Nomura,Yutaka Ishikawa,Naoya Maruyama,Satoshi Matsuoka.Design and Implementation of Portable and Efficient Non-blocking collective Communication.In The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012).10.1109/CCGRID.2012.96.
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.Design and Modeling of a Non-Blocking Checkpoint System.In ATIP - A*CRC Workshop on Accelerator Technologies in High Performance Computing.
  • Akira Nukada,Yutaka Maruyama,Satoshi Matsuoka.High Performance 3-D FFT using multiple CUDA GPUs.In Fifth Workshop on General Purpose Processing on Graphics Processing Units.

2011

InProceedings

 

  • Leonardo Bautista,Naoya Maruyama,Dimitri Komatitsch,Tsuboi Seiji,Franck Cappello,Satoshi Matsuoka,Nakamura Takeshi.FTI: High performance Fault Tolerance Interface for hybrid systems.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
  • Aleksandr Drozd,Naoya Maruyama,Satoshi Matsuoka.Fast GPU Read Alignment with Burrows Wheeler Transform Based Index.In Supercomputing 2011.
  • Takashi Shimokawabe,Takayuki Aoki,Tomohiro Takaki,Akinori Yamanaka,Akira Nukada,Toshio Endo,Naoya Maruyama,Satoshi Matsuoka.Peta-scale Phase-Field Simulation for Dendritic Solidification on the TSUBAME 2.0 Supercomputer.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC11).
  • Massimo Bernaschi,Mauro Bisson,Toshio Endo,Massimiliano Fatica,Satoshi Matsuoka,Simone Melchionna,Sauro Succi.Petaflop Biofluidics Simulations On A Two Million-Core System.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC11).
  • Naoya Maruyama,Tatsuo Nomura,Kento Sato,Satoshi Matsuoka.Physis: An Implicitly Parallel Programming Model forStencil Computations on Large-Scale GPU-AcceleratedSupercomputers.In Supercomputing 2011.
  • Kento Sato,Adam Moody,Kathryn Mohror,Todd Gamblin,Bronis r. De supinski,Naoya Maruyama,Satoshi Matsuoka.Towards an Asynchronous Checkpointing System.In 第19回ハイパフォーマンスコンピューティングとアーキテクチャの評価に関する北海道ワークショップ.
  • Irina Demeshko,Satoshi Matsuoka,Toshio Endo.GPU-based approach for elastic-plastic deformation simulation.In 並列/分散/協調処理に関するサマーワークショップ(SWoPP2011).
  • Aleksandr Drozd,Satoshi Matsuoka,Naoya Maruyama.Fast GPU Read Alignmenntwith Burrows Wheeler Transform Based Index.In SWoPP 2011.
  • Akira Nukada,Hiroyuki Takizawa,Satoshi Matsuoka.NVCR: A Transparent Checkpoint-Restart Library for NVIDIA CUDA.In The 20th International Heterogeneity in Computing Workshop (HCW 2011), in conjunction with IEEE IPDPS 2011.
  • Tatsuo Nomura,Naoya Maruyama,Toshio Endo,Satoshi Matsuoka.A Sequential Programming Framework for Large-Scale GPU-Accelerated Structured Grids.In SIAM Conference on Computational Science and Enginnering.
  • Koichi Shirahata,Hitoshi Sato,Satoshi Matsuoka.MapReduce Acceleration for GPU-based Heterogeneous Clusters.In 第1回データインテンシブサイエンスワークショップ.
  • Kento Satou,Hitoshi Sato,Satoshi Matsuoka.Orchestrated Data Processing Acceleration for Data-Intensive Applications by using VM-based Migration.In The 1st Data Intensive Science Workshop.

2010

Article

 

  • Naoya Maruyama,Satoshi Matsuoka.Model-based Fault Localization: Finding Behavioral Outliers in Large-scale Computing Systems.10.1007/s00354-009-0088-6.

InProceedings

 

  • Leonardo Bautista,Akira Nukada,Naoya Maruyama,Franck Cappello,Satoshi Matsuoka.Low-overhead checkpoint for large-scale GPU-accelerated systems.
  • Leonardo Bautista,Akira Nukada,Naoya Maruyama,Franck Cappello,Satoshi Matsuoka.Low-overhead diskless checkpoint for hybrid computing systems.
  • Takashi Shimokawabe,Takayuki Aoki,Chiashi Muroi,Junichi Ishida,Kohei Kawano,Toshio Endo,Akira Nukada,Naoya Maruyama,Satoshi Matsuoka.An 80-Fold Speedup, 15.0 TFlops, Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code.In International Conference for High Performance Computing, Networking, Storage and Analysis (SC10).
  • Koichi Shirahata,Hitoshi Sato,Satoshi Matsuoka.Hybrid Map Task Scheduling for GPU-based Heterogeneous Clusters.In The 1st International Workshop on Theory and Practice of MapReduce (MAPRED'2010).
  • Toan Nguyen,Tatsuo Nomura,Hideyuki Jitsumoto,Naoya Maruyama,Toshio Endo,Satoshi Matsuoka.MPI-CUDA Application Checkpointing.In GPU Technology Conference 2010.
  • Akira Nukada,Satoshi Matsuoka.NukadaFFT: An Auto-Tuning FFT Library for CUDA GPUs.In GPU Technology Conference 2010.
  • Toan Nguyen,Hideyuki Jitsumoto,Naoya Maruyama,Tatsuo Nomura,Toshio Endo,Satoshi Matsuoka.MPI-CUDA Applications Checkpointing.In 並列/分散/協調処理に関するサマーワークショップ(SWoPP2010).
  • Hitoshi Nagasaka,Naoya Maruyama,Akira Nukada,Toshio Endo,Satoshi Matsuoka.Statistical Power Modeling of GPU Kernels Using Performance Counters.In International Green Computing Conference (IGCC'10).
  • Mohamed amin Jabri,Satoshi Matsuoka.Authorization within Grid-Computing Using Certificateless Identity-Based Proxy Signature.In HPDC 2010.
  • Cevahir Ali,Akira Nukada,Satoshi Matsuoka.High Performance Conjugate Gradient Solver on Multi-GPU Clusters Using Hypergraph Partitioning.In ISC'10.10.1007/s00450-010-0112-6.
  • Leonardo Bautista,Naoya Maruyama,Franck Cappello,Satoshi Matsuoka.Distributed Diskless Checkpoint for Large Scale Systems.
  • Tatsuhiro Chiba,Mathijs Den burger,Thilo Kielmann,Satoshi Matsuoka.Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds.In The 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
  • Toan Nguyen,Tatsuo Nomura,Naoya Maruyama,Satoshi Matsuoka.Fault-Tolerant GPGPU with GPU Checkpointing.In 先進的計算基盤システムシンポジウム SACSIS2010.
  • Naoya Maruyama,Akira Nukada,Satoshi Matsuoka.A High-Performance Fault-Tolerant Software Framework for Memory on Commodity GPUs.In 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS'10).
  • Toshio Endo,Akira Nukada,Satoshi Matsuoka,Naoya Maruyama.Linpack Evaluation on a Supercomputer with Heterogeneous Accelerators.In IEEE International Parallel & Distributed Processing Symposium (IPDPS 2010).
  • Satoshi Matsuoka.HPC in the Cloud---A Hype, the End of SCs, or Peaceful Coexistence?.
  • Satoshi Matsuoka.GPU Acceleration: a Fad or the Yellow Brick Road onto Exascale.
  • Naoya Maruyama,Akira Nukada,Satoshi Matsuoka.Performance Evaluation of Software Framework for Memory Fault Tolerance in GPU Accelerators.
  • Satoshi Matsuoka.Accelerated Computing in TSUBAME 1.2/2.0.

2009

InProceedings

 

  • Akira Nukada,Satoshi Matsuoka.Auto-Tuning 3-D FFT Library for CUDA GPUs.In 2009 ACM/IEEE conference on Supercomputing (SC09).http://doi.acm.org/10.1145/1654059.1654090.
  • Cevahir Ali,Cevdet Aykanat,Ata Turk,B. barla Cambazoglu,Akira Nukada,Satoshi Matsuoka.Efficient PageRank on GPU Clusters.In 第18回ハイパフォーマンスコンピューティングとアーキテクチャの評価に関する北海道ワークショップ.
  • Satoshi Matsuoka.Petascaling Commodity onto Exascale with GPUs and Windows HPC.
  • Satoshi Matsuoka.Petascaling Commodity onto Exascale with GPUs on TSUBAME1.2 onto TSUBAME2.0.
  • Naoya Maruyama,Akira Nukada,Satoshi Matsuoka.A High-Performance Fault-Tolerant Software Framework for Memory on Commodity GPUs.In NVIDIA GPU Technology Conference 2009.
  • Satoshi Matsuoka.Petascaling Commodity onto Exascale: GPUs as Multithreaded Massively-Parallel Vector Processors - the Only Road to Exascale.
  • Satoshi Matsuoka,Takayuki Aoki,Toshio Endo,Akira Nukada,Toshihiro Kato,Atsushi Hasegawa.GPU accelerated computing–from hype to mainstream, the rebirth of vector computing.In Scientific Discovery through Advanced Computing (SciDAC 2009).10.1088/1742-6596/180/1/012043 .
  • Naoya Maruyama,Akira Nukada,Satoshi Matsuoka.Software-Based ECC for GPUs.In 2009 Symposium on Application Accelerators in High Performance Computing (SAAHPC'09).[ .PDF ]
  • Satoshi Matsuoka.GPU Accelerated Computing---From Hype to Mainstream, the Rebirth of Vector Computing.
  • Kento Satou,Hitoshi Sato,Satoshi Matsuoka.A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds using VM-Based Migration.[ .PDF ]
  • Unknown Unknown,Naoya Maruyama,Satoshi Matsuoka.Adaptive Resource Indexing Technique for Unstructured Peer-to-Peer Networks.[ .PDF ]
  • Cevahir Ali,Akira Nukada,Satoshi Matsuoka.Fast Conjugate Gradients with Multiple GPUs.[ .PDF ]
  • Hitoshi Sato,Satoshi Matsuoka,Toshio Endo.File Clustering Based Replication Algorithm in a Grid Environment.In The 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.[ .PDF ]
  • Tomoaki Hamano,Toshio Endo,Satoshi Matsuoka.Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters.In The Fifth Workshop on High-Performance, Power-Aware Computing (HPPAC), in conjunction to IEEE IPDPS 2009.[ .PDF ]
  • Satoshi Matsuoka.TSUBAME 1.2 and the Road to TSUBAME 2.0 - Accelerated Multi-Petascale Commodity Computing for Everyone.
  • Hideyuki Jitsumoto,Toshio Endo,Satoshi Matsuoka.Environmental-aware optimization of MPI checkpointing intervals.In HPC ASIA 2009.
  • Satoshi Matsuoka,Ikuhei Yamagata,Hideyuki Jitsumoto.Speculative checkpointing: Exploiting temporal affinity of memory operations.In HPC ASIA 2009.
  • Cevahir Ali,Akira Nukada,Satoshi Matsuoka.Fast conjugate gradient solver on multi-GPU systems.In 2009年ハイパフォーマンスコンピューティングと計算科学シンポジウム(HPCS2009).
  • Naoya Maruyama,Akira Nukada,Satoshi Matsuoka.Preliminary evaluation of software-based memory fault tolerance for GPGPU.In 2009年ハイパフォーマンスコンピューティングと計算科学シンポジウム(HPCS2009).

2008

Article

 

  • Yuya Machida,Shinichiro Takizawa,Hidemoto Nakada,Satoshi Matsuoka.Intelligent data staging with overlapped execution of grid applications.

InProceedings

 

  • Akira Nukada,Yasuhiko Ogata,Toshio Endo,Satoshi Matsuoka.Bandwidth intensive 3-D FFT kernel for GPUs using CUDA.In 2008 ACM/IEEE conference on Supercomputing (SC08).
  • Satoshi Matsuoka,Yutaka Akiyama,Akira Nukada,Toshio Endo,Yasuhiko Ogata,Fumikazu Konishi.HPC-GPGPU: Large-scale commodity accelerated clusters and its application to advanced structural proteomics.In AHeDD2008/IPAB2008 Joint Symposium.
  • Hitoshi Sato,Satoshi Matsuoka,Toshio Endo,Naoya Maruyama.Access-pattern and bandwidth aware file replication algorithm in a grid environment.In The 9th IEEE/ACM International Conference on Grid Computing (Grid 2008).[ .PDF ]
  • Hideyuki Jitsumoto,Toshio Endo,Satoshi Matsuoka.Environmental-aware optimization of MPI checkpointing intervals.In The 2008 IEEE International Conference on Cluster Computing (Cluster 2008).
  • Kento Satou,Hitoshi Sato,Satoshi Matsuoka.Model-based Optimization for Data-Intensive Application on Virtual Cluster.In The 2008 9th IEEE/ACM International Conference on Grid Computing (Grid 2008).
  • Satoshi Matsuoka,Takayuki Aoki,Akira Nukada.Rise of the Commodity Vectors or Democratization of Supercomputing.In NVISION2008.
  • Satoshi Matsuoka.Rise of the commodity vectors.In 2008 8th International Meeting High Performance Computing for Computational Science.
  • Unknown Unknown,Naoya Maruyama,Satoshi Matsuoka.Index distribution technique for efficient search on unstructured peer-to-peer networks.In The International Conference in Electrical Engineering/Electronics.[ .PDF ]
  • Takeshi Nishikawa,Satoshi Matsuoka.Time stamping authoruty grid.In Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'08).
  • Laurent Baduel,Satoshi Matsuoka.A decentralized, scalable, and autonomous grid monitoring system.In 11th International Conference on Principles of Distributed Systems (OPODIS).[ .PDF ]
  • Yasuhiko Ogata,Toshio Endo,Naoya Maruyama,Satoshi Matsuoka.An efficient, model-based CPU-GPU heterogeneous FFT library.In International Heterogeneity in Computing Workshop (HCW '08).[ .PDF ]
  • Shinichiro Takizawa,Toshio Endo,Satoshi Matsuoka.Locality aware MPI communication on a commodity opto-electronic hybrid network.In Workshop on Large-Scale Parallel Processing (LSPP).[ .PDF ]
  • Toshio Endo,Satoshi Matsuoka.Massive supercomputing coping with heterogeneity of modern accelerators.In IEEE International Parallel & Distributed Processing Symposium (IPDPS 2008).[ .PDF ]
  • Naoya Maruyama,Satoshi Matsuoka.Model-based fault localization in large-scale computing systems.In The 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS'08).[ .PDF ]
  • Yuto Hosogaya,Toshio Endo,Satoshi Matsuoka.Performance evaluation of parallel applications on next generation memory architecture with power-aware paging method.In The Fourth Workshop on High-Performance.[ .PDF ]
  • Satoshi Matsuoka,Yutaka Akiyama.HPC-GPGPU: Large-scale commodity accelerated clusters and its application to advanced structural proteomics.In Microsoft Science All-Hands-Meeting.
  • Unknown Unknown,Naoya Maruyama,Satoshi Matsuoka.Index distribution technique for efficient search on unstructured peer-to-peer networks.In 第169回計算機アーキテクチャ・第114回ハイパフォーマンスコンピューティング合同研究発表会（HOKKE-2008）.[ .PDF ]
  • Denis Caromel,Alexandre di Costanzo,Laurent Baduel,Satoshi Matsuoka.Grid'BnB: A parallel branch & bound framework for grids.In 14th International Conference on High Performance Computing (HiPC).
  • Satoshi Matsuoka,Kazushige Saga,Mutsumi Aoyagi.Coupled-simulation e-science support in the NAREGI grid.In IEEE Computer.
  • Satoshi Matsuoka.Hundred million cores in commodity---Why not? (or, will `custom'*finally* prevail?).In CCGSC2008.

2007

Article

 

  • Laurent Baduel,Satoshi Matsuoka.Outil autonome de surveillance de grilles.[ .PDF ]

Book

 

  • Satoshi Matsuoka.The road to TSUBAME and beyond.

InProceedings

 

  • Shohei Yamasaki,Naoya Maruyama,Satoshi Matsuoka.Model-based resource selection for efficient virtual cluster deployment.In 2nd International Workshop on Virtualization Technology in Distributed Computing (VTDC'07).[ .PDF ]
  • Hitoshi Aoki,Hidemoto Nakada,Kouji Tanaka,Satoshi Matsuoka.Autonomically-adapting master-worker programming framework for multi-layered grid-of-clusters.In HPC Asia 2007.[ .PDF ]
  • Satoshi Matsuoka.High-performance distributed solar computing (?) --- Towards a grid that computes like trees---.In 情報処理学会研究報告2007-HPC-112,HPC Asia併設WS.[ .PDF ]
  • Hidemoto Nakada,Hitoshi Sato,Kazushige Saga,Masayuki Hatanaka,Yuji Saeki,Satoshi Matsuoka.Job invocation interoperability between NAREGI Middleware Beta and gLite.In HPC Asia 2007.[ .PDF ]
  • Ali Cevahir,Cevdet Aykanat,Ata Turk,B. Barla Cambazoglu,Satoshi Matsuoka.Web-site-based partitioning techniques for efficient parallelization of the PageRank Computation.In 情報処理学会研究報告2007-HPC-112,HPC Asia併設WS.[ .PDF ]
  • Tatsuhiro Chiba,Toshio Endo,Satoshi Matsuoka.High-performance MPI broadcast algorithm for grid environments utilizing multi-lane NICs.In Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid'07).[ .PDF ]
  • Hideo Nishimura,Naoya Maruyama,Satoshi Matsuoka.Virtual clusters on the fly - fast, scalable, and flexible installation.In Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid'07).[ .PDF ]
  • Laurent Baduel,Satoshi Matsuoka.A peer-to-peer infrastructure for autonomous grid monitoring.In The 3rd International Workshop on Hot Topics in Peer-to-Peer Systems at the International Parallel & Distributed Processing Symposium 2007.[ .PDF ]
  • Hideyuki Jitsumoto,Toshio Endo,Satoshi Matsuoka.ABARIS: An adaptable fault detection/recovery component framework for MPIs.In 12th IEEE Workshop on Dependable Parallel.[ .PDF ]
  • Hitoshi Sato,Satoshi Matsuoka.Data management on grid filesystem for data-intensive computing.In SAINT 2007 Workshop on Middleware Architecture in the Internet.[ .PDF ]
  • Norihiro Umeda,Hidemoto Nakada,Satoshi Matsuoka.Peer-to-peer scheduling system with scalable information sharing protocol.In SAINT 2007 Workshop on Middleware Architecture in the Internet.[ .PDF ]

2006

Article

 

  • Satoshi Matsuoka,Masayuki Hatanaka,Yasumasa Nakano,Yuji Iguchi,Toshio Ohno,Kazushige Saga,Hidemoto Nakada.Design and implementation of NAREGI SuperScheduler based on the OGSA architecture.
  • Masao Sakauchi,Shigeki Yamada,Noboru Sonehara,Shigeo Urushidani,Jun Adachi,Kazunobu Konishi,Satoshi Matsuoka.Cyber Science Infrastructure Initiative for Boosting Japan’s Scientific Research.[ .PDF ]
  • Masao Sakauchi,Shigeki Yamada,Noboru Sonehara,Shigeo Urushidani,Jun Adachi,Kazunobu Konishi,Satoshi Matsuoka.Cyber science infrastructure initiative for boosting Japan's scientific research.[ .PDF ]
  • Ikuhei Yamagata,Satoshi Matsuoka,Hidemoto Nakada.Speculative Checkpointing.

InProceedings

 

  • Masaki Tatezono,Naoya Maruyama,Satoshi Matsuoka.Making Wide-Area, Multi-Site MPI Feasible Using Xen VM.In Workshop on XEN in HPC Cluster and Grid Computing Environments (XHPC'06).[ .PDF ]
  • Yuya Machida,Shinnichiro Takizawa,Hidemoto Nakada,Satoshi Matsuoka.Multi-Replication with Intelligent Staging in ata-Intensive Grid Applications..[ .PDF ]
  • Yuya Machida,Shinichiro Takizawa,Hidemoto Nakada,Satoshi Matsuoka.Multi-replication with intelligent staging in data-intensive grid applications.In The 7th IEEE/ACM International Conference on Grid Computing.
  • Taisuke Boku,Mitsuhisa Sato,Daisuke Takahashi,Hiroshi Nakashima,Hiroshi Nakamura,Satoshi Matsuoka,Yoshihiko Hotta.MegaProto/E: Power-aware high-performance cluster with commodity technology.In 20th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2006).
  • Yoshihiko Hotta,Mitsuhisa Sato,Hideaki Kimura,Satoshi Matsuoka,Taisuke Boku,Daisuke Takahashi.Profile-based optimization of power-performance by using dynamic voltage scaling on a PC cluster.In 20th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2006).
  • Ikuhei Yamagata,Satoshi Matsuoka,Hidemoto Nakada.Speculative checkpointing.In DSW 2006.[ .PDF ]

2005

Article

 

  • Hidemoto Nakada,Jaime Frey,Motohiro Yamada,Yasuyoshi Itou,Yasumasa Nakano,Satoshi Matsuoka.Design and Implementation of Condor-UNICORE Bridge.[ .PDF ]
  • Yusuke Tanimura,Hidemoto Nakada,Yoshio Tanaka,Satoshi Matsuoka.Primary Study of A Task Farming API over The GridRPC Framework.
  • Hiroshi Nakashima,Hiroshi Nakamura,Mitsuhisa Sato,Taisuke Boku,Satoshi Matsuoka,Daisuke Takahashi,Yoshihiko Hotta.MegaProto: 1TFlops/10 kW Rack Is Feasible Even with Only Commodity Technology.
  • Satoshi Matsuoka.Low Power Computing for Fleas, Mice, and Mammoth ? Do They Speak the Same Language ?.[ .PDF ]
  • Hiroshi Nakashima,Hiroshi Nakamura,Mitsuhisa Sato,Taisuke Boku,Satoshi Matsuoka,Daisuke Takahashi,Yoshihiko Hotta.MegaProto: A Low-Power and Compact Cluster for High-Performance Computing.

InProceedings

 

  • Hiroshi Nakashima,Hiroshi Nakamura,Mitsuhisa Satoh,Taisuke Boku,Satoshi Matsuoka,et.al..MegaProto: 1 TFlops/10 kW Rack Is Feasible Even with Only Commodity Technology.In IEEE/ACM Supercomputing 2005.[ .PDF ]
  • Satoshi Matsuoka,Sinji Shimojo,Mutsumi Aoyagi,Satoshi Sekiguchi,Hitohide,Usami,Kenichi Miura.Japanese Computional Grid Research Project: NAREGI.[ .PDF ]

Others

 

  • Satoshi Matsuoka.The Titech Grid ～Can a Center Sustain a Large Production Grid on Campus? ～History, Lessons Learned, and the Future～.

2003

Article

 

  • Shoji Ogura,Satoshi Matsuoka,Hidemoto Nakada.Evaluation of the inter-cluster data transfer on Grid environment.[ .PDF ]
  • Yoshiaki Sakae,Satoshi Matsuoka,Mitsuhisa Sato,Hiroshi Harada.Preliminary Evaluation of Dynamic Load Balancing Using Loop Re-partitioning on Omni/SCASH.[ .PDF ]

2002

Article

 

  • Satoshi Shirasuna,Hidemoto Nakada,Satoshi Matsuoka,Satoshi Sekiguchi.Evaluating Web Services Based Implementations of GridRPC..[ .PDF ]
  • Osamu Tatebe,Youhei Morita,Satoshi Matsuoka,Noriyuki Soda,Satoshi Sekiguchi).Grid Datafarm Architecture for Petascale Data Intensive Computing.[ .PDF ]
  • Keith Seymour,Hidemoto Nakada,Satoshi Matsuoka,Jack Dongarra,Craig Lee,Henri Casanova.Overview of GridRPC: A Remote Procedure Call API for Grid Computing.[ .PDF ]
  • Toyotaro Suzumura,Hidemoto Nakada,Masayuki Saito,Satoshi Matsuoka,Yoshio Tanaka,Satoshi Sekiguchi.The Ninf Portal : An Automatic Generation Tool for Computing Portals.
  • Yoshiaki Sakae,Satoshi Matsuoka,Mitsuhisa Sato,Hiroshi Harada.Towards Dynamic Load Balancing Using Page Migration and Loop Re-partitioning on Omni/SCASH.[ .PDF ]

2001

Article

 

  • Hiroshi Hosobe,Satoshi Matsuoka.A Foundation of Solution Methods for Constraint Hierarchies.
  • Craig Lee,Satoshi Matsuoka,Domenico Talia,Alan Sussman,Nicholas Karonis,Gabrielle Allen,Mary Thomas..A Grid Programming Primer, (Draft 2.4).
  • Toyotaro Suzumura,Satoshi Matsuoka,Hidemoto Nakada.A Jini-based Computing Portal System.[ .PDF ]
  • Atsuko Takefusa,Satoshi Matsuoka,Henri Casanova,Francine Berman.A Study of Deadline Scheduling for Client-Server Systems on the Computational Grid.[ .PDF ]
  • Kentarou Fukuchi,Satoshi Matsuoka.An Evaluation of Multiple Pointing Input Systems.[ .PDF ]
  • Youhei Morita,Osamu Tatebe,Satoshi Matsuoka,Noriyuki Soda,Hiroyuki Sato,Yoshio Tanaka,Satoshi Sekiguchi,S. Kawabata,Yoshiyuki Watase,Masatoshi Imori, T.Grid Data Farm for Atlas Simulation Data Challenges.[ .PDF ]
  • Osamu Tatebe,Youhei Morita,Satoshi Matsuoka,Noriyuki Soda,Hiroyuki Sato,Yoshio Tanaka,Satoshi Sekiguchi,Yoshiyuki Watase,Masatoshi Imori,Tomio Kobaya.Grid Data Farm for Petascale Data Intensive Computing .
  • Yukihiko Sohda,Hidemoto Nakada,Satoshi Matsuoka,Hirotaka Ogawa.Implementation of a Portable Software DSM in Java.[ .PDF ]
  • Yoshiaki Sakae,Satoshi Matsuoka.MPC++ Performance for Commodity Clustering.[ .PDF ]
  • Henri Casanova,Satoshi Matsuoka,Jack Dongarra.Network-Enabled Server Systems and the Computational Grid.
  • Fuyuhiko Maruyama,Satoshi Matsuoka,Hirotaka Ogawa,Naoya Maruyama,Kouya Shimura.OpenJIT 2: The Design and Implementation of Application Framework　for JIT Compilers.
  • Rajkummar Buyya,Tom Eidson,Dennis Gannon,Erwin Laure,Satoshi Matsuoka,Thierry Priol,Joel Saltz,Ed Seidel,Yoshio Tanaka.Problem Solving Environment Comparison.
  • Satoshi Matsuoka,Shigeo Itou .Towards performance evaluation of high-performance computing on multiple Java platforms.

InProceedings

 

  • Satoshi Matsuoka.Grid RPC meets Data Grid: Network Enabled Services for Data Farming on the Grid.

2000

Article

 

  • Satoshi Matsuoka.AJaPack; A Performance Portable Parallel Java Numerical Library .
  • Satoshi Matsuoka.Are Global Computing Systems Useful? Comparison of Client-server Global Computing Systems Ninf, NetSolve Versus CORBA .[ .PDF ]
  • Satoshi Matsuoka.NetCFD: a Ninf CFD component for Global Computing, and its Java applet GUI .[ .PDF ]
  • Satoshi Matsuoka.OpenJIT: An Open-Ended, Reflective JIT Compiler Framework for Java .[ .PDF ]
  • Satoshi Matsuoka.Performance Issues　in　Client-Server Global Computing .

1999

Article

 

  • Yukihiko Sohda,Hirotaka Ogawa,Satoshi Matsuoka.OMPC++ --- A Portable High-Performance Implementation of DSM using OpenC++ Reflection.[ .PDF ]
  • Sachiko Kawachiya,Takeo Igarashi,Satoshi Matsuoka,Hidehiko Tanaka.Reduction of Overhead in Drawing Figures with Computer - Detailed Analyses of Drawing Tasks.
  • Takeo Igarashi,Satoshi Matsuoka,Hidehiko Tanaka.Teddy: A Sketching Interface for 3D Freeform Design.

InProceedings

 

  • Atsuko Takefusa,Satoshi Matsuoka,Hidemoto Nakada,Kento Aida,Umpei Nagashima.Overview of a Performance Evaluation System for Global Computing Scheduling Algorithms.

1998

Article

 

  • Shin Takahashi,Satoshi Matsuoka,Ken Miyashita,Hiroshi Hosobe,Tomihisa Kamada.A Constraint-Based Approach for Visualization and Animation.
  • Kento Aida,Atsuko Takefusa,Hidemoto Nakada,Satoshi Matsuoka,Umpei Nagashima.A Performance Evaluation Model for Effective Job Scheduling in Global Computing Systems .[ .PDF ]
  • Y. Ayatsuka,Satoshi Matsuoka,J.Rekimoto.Layered Penumbrae: a Effective 3{D} Feedback Technique.
  • Mitsuhisa Sato,Hiroshi Tezuka,Atsushi Hori,Yutaka Ishikawa,Satoshi Sekiguchi,Hidemoto Nakada,Satoshi Matsuoka.Ninf and PM: Communication Libraries for Global Computing and High-performance Cluster Computing.[ .PS ]
  • Hiromitsu Takagi,Satoshi Matsuoka,Hidemoto Nakada,Satoshi Sekiguchi,Mitsuhisa Satoh,Umpei Nagashima.Ninflet: a Migratable Parallel Objects Framework using Java .
  • Satoshi Matsuoka,H. Ogawa,K. Shimura,Y. Kimura,K. Hotta,H. Takagi.OpenJIT ---A Reflective Java JIT Compiler.
  • Takeo Igarashi,Satoshi Matsuoka,Sachiko Kawachiya,Hidehiko Tanaka.Pegasus: A Drawing System for Rapid Geometric Design.
  • Yuji Ayatsuka,Satoshi Matsuoka,Jun Rekimoto.Popup Vernier: A Tool for Sub-Pixel-Pitch Dragging with a Smooth Mode Transition.[ .PDF ]
  • Hidemoto Nakada,Hiromitsu Takagi,Satoshi Matsuoka,Umpei Nagashima,Mitsuhisa Sato,Satoshi Sekiguchi.Utilizing the Metaserver Architecture in the Ninf Global Computing System .

1997

Article

 

  • Satoshi Matsuoka.A Methodology for Specifying Data Distribution using only Standard Object-Oriented Features.
  • Satoshi Matsuoka.Interactive Beautification : A Technique for Rapid Geometric Design.
  • Satoshi Matsuoka.Multi-client LAN/WAN Analysis of Ninf : a High-Performance Global Computing System.[ .PDF ]

1996

Article

 

  • Satoshi Matsuoka.OMPI : Optimizing MPI programs using Partial Evaluation.[ .PDF ]

Book

 

  • Satoshi Matsuoka.Compiling Concurrent Objects for MPPs In Parallel Language and Compiler Research in Japan, Bic, Nicolau and Sato (eds.).

1995

Article

 

  • Satoshi Matsuoka.Compiling Away the Meta-Level in Object-Oriented Concurrent Reflective Languages Using Partial Evaluation.

1993

InProceedings

 

  • Satoshi Matsuoka,Kenjiro Taura,Akinori Yonezawa.Highly Efficient and Encapsulated Re-use of Synchronization Code in Concurrent Object-Oriented Languages Washington D. C., Sep. 1993..

1992

InProceedings

 

  • Satoshi Matsuoka.A General Framwork for Bi-Directional Translation between Abstract and Pictorial Data..
  • Satoshi Matsuoka,Takuo Watanabe,Yuji Ichisugi,Akinori Yonezawa.Object-Oriented Concurrent Reflective Architectures.
  • Hidehiko Masuhara,Satoshi Matsuoka,Takuo Watanabe,Akinori Yonezawa.Object-Oriented Concurrent Reflective Languages Can be Implemented Efficiently.

1991

InProceedings

 

  • Satoshi Matsuoka,Takuo Watanabe,Akinori Yonezawa.Hybrid Group Reflective Architecture for Object-Oriented Concurrent Reflective Programming.In European Conference on Object-Oriented Programming (ECOOP 1991).10.1007/BFb0057025.