2011 - ACM Fellow For contributions to the design of high-performance computers.
2011 - ACM Gordon Bell Prize For "Petaflop biofluidics simulations on a two million core system."
Satoshi Matsuoka mainly investigates Parallel computing, Distributed computing, CUDA, Operating system and Supercomputer. His Parallel computing research is multidisciplinary, relying on both Fast Fourier transform, Scalability, Kernel and General-purpose computing on graphics processing units. His Distributed computing study incorporates themes from Scheduling, Computation and Bottleneck.
His biological study spans a wide range of topics, including Computational science, Solver, Memory bandwidth and FLOPS. His Grid computing research extends to the thematically linked field of Operating system. Satoshi Matsuoka has researched Supercomputer in several fields, including Graph, Multi-core processor and Benchmark.
His primary scientific interests are in Parallel computing, Distributed computing, Supercomputer, Operating system and Grid computing. His Parallel computing study combines topics in areas such as Stencil and General-purpose computing on graphics processing units. His study of Stencil code is a part of Stencil.
His Blocking research extends to Stencil code, which is thematically connected. His studies in Distributed computing integrate themes in fields like Scheduling and Computer network. His Supercomputer research includes themes of Scalability and Benchmark.
Satoshi Matsuoka focuses on Parallel computing, Artificial intelligence, Supercomputer, CUDA and Optoelectronics. His Parallel computing research includes elements of Matrix, Sparse matrix and Stencil. His work investigates the relationship between Artificial intelligence and topics such as Machine learning that intersect with problems in Recall and Scheduling.
His Supercomputer research incorporates themes from Proxy and Double-precision floating-point format. His study explores the link between CUDA and topics such as Computation that cross with problems in Computational science and Kernel. His research in Optoelectronics intersects with topics in Transistor, Thin-film transistor and Modulation.
His primary areas of investigation include Parallel computing, Supercomputer, Artificial intelligence, Convolutional neural network and Field-programmable gate array. Satoshi Matsuoka works in the field of Parallel computing, focusing on Xeon Phi in particular. Xeon Phi is a subfield of Operating system that Satoshi Matsuoka studies.
His Supercomputer study combines topics from a wide range of disciplines, such as Machine learning, Scheduling and Recall. His studies deal with areas such as Context and SIMPLE as well as Artificial intelligence. His work carried out in the field of Field-programmable gate array brings together such families of science as Kernel, Software, System on a chip and Xeon.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Teddy: a sketching interface for 3D freeform design
Takeo Igarashi;Satoshi Matsuoka;Hidehiko Tanaka.
international conference on computer graphics and interactive techniques (1999)
The International Exascale Software Project roadmap
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)
ECOOP'97 - Object-Oriented Programming
Mehmet Akşit;Satoshi Matsuoka.
european conference on object-oriented programming (1997)
Analysis of inheritance anomaly in object-oriented concurrent programming languages
Satoshi Matsuoka;Akinori Yonezawa.
Research directions in concurrent object-oriented programming (1993)
Overview of GridRPC: A Remote Procedure Call API for Grid Computing
Keith Seymour;Hidemoto Nakada;Hidemoto Nakada;Satoshi Matsuoka;Satoshi Matsuoka;Jack Dongarra.
grid computing (2002)
Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing
Yoshio Tanaka;Hidemoto Nakada;Satoshi Sekiguchi;Toyotaro Suzumura.
Journal of Grid Computing (2003)
Interactive beautification: a technique for rapid geometric design
Takeo Igarashi;Satoshi Matsuoka;Sachiko Kawachiya;Hidehiko Tanaka.
international conference on computer graphics and interactive techniques (2006)
Grid Datafarm Architecture for Petascale Data Intensive Computing
O. Tatebe;Y. Morita;S. Matsuoka;N. Soda.
cluster computing and the grid (2002)
FTI: high performance fault tolerance interface for hybrid systems
Leonardo Bautista-Gomez;Seiji Tsuboi;Dimitri Komatitsch;Franck Cappello.
ieee international conference on high performance computing data and analytics (2011)
Statistical power modeling of GPU kernels using performance counters
Hitoshi Nagasaka;Naoya Maruyama;Akira Nukada;Toshio Endo.
international conference on green computing (2010)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
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University of Tokyo
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Publications: 26
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