H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 58 Citations 13,044 277 World Ranking 1780 National Ranking 15

Research.com Recognitions

Awards & Achievements

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."

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Artificial intelligence

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 most cited work include:

  • Teddy: a sketching interface for 3D freeform design (1138 citations)
  • The International Exascale Software Project roadmap (580 citations)
  • ECOOP'97 - Object-Oriented Programming (475 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Parallel computing (27.96%)
  • Distributed computing (20.58%)
  • Supercomputer (16.11%)

What were the highlights of his more recent work (between 2017-2021)?

  • Parallel computing (27.96%)
  • Artificial intelligence (7.61%)
  • Supercomputer (16.11%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry (53 citations)
  • Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL (50 citations)
  • Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks (25 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Artificial intelligence

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.

Top Publications

Teddy: a sketching interface for 3D freeform design

Takeo Igarashi;Satoshi Matsuoka;Hidehiko Tanaka.
international conference on computer graphics and interactive techniques (1999)

1771 Citations

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)

802 Citations

ECOOP'97 - Object-Oriented Programming

Mehmet Akşit;Satoshi Matsuoka.
european conference on object-oriented programming (1997)

736 Citations

Analysis of inheritance anomaly in object-oriented concurrent programming languages

Satoshi Matsuoka;Akinori Yonezawa.
Research directions in concurrent object-oriented programming (1993)

557 Citations

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)

392 Citations

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)

307 Citations

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)

302 Citations

Grid Datafarm Architecture for Petascale Data Intensive Computing

O. Tatebe;Y. Morita;S. Matsuoka;N. Soda.
cluster computing and the grid (2002)

242 Citations

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)

235 Citations

Statistical power modeling of GPU kernels using performance counters

Hitoshi Nagasaka;Naoya Maruyama;Akira Nukada;Toshio Endo.
international conference on green computing (2010)

218 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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