Satoshi Matsuoka

Yokohama National University — Japan

Computer Science · Physical Sciences

37h-index6.8kcitations312works0.82yr avg
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Research Topics

Parallel Computing and Optimization Techniques(108), Distributed and Parallel Computing Systems(103), Advanced Data Storage Technologies(69), Cloud Computing and Resource Management(47), Distributed systems and fault tolerance(21)

Publications312 total

Predicting the Future of Supercomputing
Computer·2025Open Access
Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers
2025
MarginX: Simple and Fast Circuit Parameter Optimization Tool for Superconductor Circuits
IEICE Transactions on Electronics·2025· 3 citedOpen Access
IP02-23 MANAGEMENT AND PROGNOSIS OF PATIENTS WITH NON-MUSCLE INVASIVE INTRAVESICAL RECURRENCE DEVELOPING AFTER BLADDER PRESERVATION THERAPY FOR MUSCLE-INVASIVE BLADDER CANCER
The Journal of Urology·2025
Can Tensor Cores Benefit Memory-Bound Kernels? (NO!)
2025· 2 citedOpen Access
P367 – Impact of fluorescence cystoscopy using oral 5-aminolevulinic acid on risk evaluation and patient prognosis in transurethral resection for primary non-muscle invasive bladder cancer
European Urology·2025
A General and Scalable GCN Training Framework on CPU Supercomputers
2025Open Access
Can Tensor Cores Benefit Memory-Bound Kernels? (No!)
arXiv (Cornell University)·2025Open Access
Analysis of experimental consensus-building tasks with evaluation indices
AHFE international·2025
Investigating Nvidia GPU Architecture Trends via Microbenchmarks
2024
Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage
2024
Real-time High-resolution X-Ray Computed Tomography
2024· 5 citedOpen Access
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads
ACM Transactions on Architecture and Code Optimization·2023· 6 citedOpen Access
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips
IEEE Transactions on Parallel and Distributed Systems·2023· 7 cited
Can the United States Maintain Its Leadership in High-Performance Computing? - A report from the ASCAC Subcommittee on American Competitiveness and Innovation to the ASCR Office
2023· 3 citedOpen Access
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications
2023· 10 citedOpen Access
Revisiting Temporal Blocking Stencil Optimizations
2023· 11 citedOpen Access
Myths and legends in high-performance computing
The International Journal of High Performance Computing Applications·2023· 14 cited
The First Exascale Supercomputer Accelerating AI-for-Science and Beyond
WORLD SCIENTIFIC eBooks·2023
Exploiting Scratchpad Memory for Deep Temporal Blocking
2023Open Access
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Frequent Co-authors

Naoya Maruyama(9), Satoshi Sekiguchi(9), Hidemoto Nakada(8), Franck Cappello(5), Mitsuhisa Sato(5), Jack Dongarra(4), Umpei Nagashima(4), Kento Sato(4), Toshio Endo(4), Hitoshi Sato(4), Pete Beckman(3), Terry Moore(3), Rick Stevens(3), Leonardo Bautista-Gomez(3), Y. Morita(3), Takayuki Kobayashi(3), Y. Miyamoto(3), Atsuko Takefusa(3), Hiromitsu Takagi(3), Yukio Matsui(3)