Satoshi Matsuoka

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 122

Top Venues

CoRR

CLUSTER

ICPADS

Publications

Du Wu, Peng Chen, Xiao Wang, Isaac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Real-time High-resolution X-Ray Computed Tomography. ICS (2024)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. ICS (2023)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Revisiting Temporal Blocking Stencil Optimizations. CoRR (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). GPGPU@PPoPP (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). CoRR (2023)
Akira Nukada, Taichiro Suzuki, Satoshi Matsuoka
Efficient checkpoint/Restart of CUDA applications. Parallel Comput. 116 (2023)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. ICS (2023)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
Myths and Legends in High-Performance Computing. CoRR (2023)
Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo, Akira Nukada, Satoshi Matsuoka
Efficient high-precision integer multiplication on the GPU. Int. J. High Perform. Comput. Appl. 36 (3) (2022)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Andrew A. Chien, Raymond Bair, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Applications. Comput. Sci. Eng. 24 (2) (2022)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR (2022)
Kazuto Ando, Rahul Bale, Chung-Gang Li, Satoshi Matsuoka, Keiji Onishi, Makoto Tsubokura
Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19. Int. J. High Perform. Comput. Appl. 36 (5-6) (2022)
Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Ray Bair, Andrew A. Chien, Jeffrey S. Vetter, John Shalf
Preparing for the Future - Rethinking Proxy Apps. CoRR (2022)
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Satoshi Matsuoka
Persistent Kernels for Iterative Memory-bound GPU Applications. CoRR (2022)
Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
Scalable FBP decomposition for cone-beam CT reconstruction. SC (2021)
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations. CoRR (2021)
Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR (2021)
Satoshi Matsuoka
Fugaku and A64FX: the First Exascale Supercomputer and its Innovative Arm CPU. VLSI Circuits (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? IPDPS (2021)
Peng Chen, Mohamed Wahib, Xiao Wang, Shin'ichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. ICS (2021)
Kazuto Ando, Rahul Bale, Chung-Gang Li, Satoshi Matsuoka, Keiji Onishi, Makoto Tsubokura
Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19. CoRR (2021)
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? CoRR (2020)
Artur Podobas, Kentaro Sano, Satoshi Matsuoka
A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective. CoRR (2020)
Yosuke Oyama, Naoya Maruyama, Nikoli Dryden, Erin McCarthy, Peter Harrington, Jan Balewski, Satoshi Matsuoka, Peter Nugent, Brian Van Essen
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism. CoRR (2020)
Artur Podobas, Kentaro Sano, Satoshi Matsuoka
A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective. IEEE Access 8 (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. CoRR (2020)
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
AN5D: automated stencil framework for high-degree temporal blocking on GPUs. CGO (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling distributed deep learning workloads beyond the memory capacity with KARMA. SC (2020)
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs. CoRR (2020)
Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. IPDPS (2020)
Artur Podobas, Kentaro Sano, Satoshi Matsuoka
A Template-based Framework for Exploring Coarse-Grained Reconfigurable Architectures. ASAP (2020)
Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka
High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. CoRR (2020)
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. CoRR (2020)
Satoshi Matsuoka
A Formal Model for a Linear Time Correctness Condition of Proof Nets of Multiplicative Linear Logic. LOPSTR (2020)
Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CoRR (2019)
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks. CVPR (2019)
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches? IPDPS (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
iFDK: a scalable framework for instant high-resolution image reconstruction. SC (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction. CoRR (2019)
Satoshi Matsuoka
A New Linear Time Correctness Condition for Multiplicative Linear Logic. CoRR (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
A versatile software systolic execution model for GPU memory-bound kernels. SC (2019)
Yohei Tsuji, Kazuki Osawa, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method. ICPP Workshops (2019)
Hideyuki Jitsumoto, Yuya Kobayashi, Akihiro Nomura, Satoshi Matsuoka
MH-QEMU: Memory-State-Aware Fault Injection Platform. SCFA (2019)
Aamer Shah, Chih-Song Kuo, Akihiro Nomura, Satoshi Matsuoka, Felix Wolf
How File-access Patterns Influence the Degree of I/O Interference between Cluster Applications. Supercomput. Front. Innov. 6 (2) (2019)
Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CCGRID (2019)
Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du
Scaling Word2Vec on Big Corpus. Data Sci. Eng. 4 (2) (2019)
Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka
Learning Neural Representations for Predicting GPU Performance. ISC (2019)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels. CoRR (2019)
Hamid Reza Zohouri, Satoshi Matsuoka
The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface. CoRR (2019)
Jens Domke, Satoshi Matsuoka, Ivan Radanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura, Shin'ichi Miura, Nic McDonald, Dennis Lee Floyd, Nicolas Dubé
The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees? Hot Interconnects (2019)
Hamid Reza Zohouri, Satoshi Matsuoka
The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface. H2RC@SC (2019)
Jens Domke, Satoshi Matsuoka, Ivan R. Ivanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura, Shin'ichi Miura, Nic McDonald, Dennis Lee Floyd, Nicolas Dubé
HyperX topology: first at-scale implementation and comparison to the fat-tree. SC (2019)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors. Parallel Comput. 90 (2019)
Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. HiPC (2018)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures. CoRR (2018)
Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32 (4) (2018)
Jian Guo, Akihiro Nomura, Ryan Barton, Haoyu Zhang, Satoshi Matsuoka
Machine Learning Predictions for Underestimation of Job Runtime on HPC System. SCFA (2018)
Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. CoRR (2018)
Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Satoshi Matsuoka
DRAGON: breaking GPU memory capacity limits with direct NVM access. SC (2018)
Satoshi Matsuoka
Direct Encodings of NP-Complete Problems into Horn Sequents of Multiplicative Linear Logic. FLOPS (2018)
Satoshi Matsuoka
Cambrian explosion of computing and big data in the post-moore era. HPDC (2018)
Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka
High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. IPDPS Workshops (2018)
Kevin A. Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz, Abhinav Bhatele
Interference between I/O and MPI Traffic on Fat-tree Networks. ICPP (2018)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures. ICPP Workshops (2018)
Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka
Accelerating Deep Learning Frameworks with Micro-Batches. CLUSTER (2018)
Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. CoRR (2018)
Artur Podobas, Satoshi Matsuoka
Hardware Implementation of POSITs and Their Application in FPGAs. IPDPS Workshops (2018)
James Lin, Zhigeng Xu, Linjin Cai, Akira Nukada, Satoshi Matsuoka
Evaluating the SW26010 many-core processor with a micro-benchmark suite for performance optimizations. Parallel Comput. 77 (2018)
Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka
Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches? CoRR (2018)
Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka, Kenichi Miura, John Shalf
MRG8: Random Number Generation for the Exascale Era. PASC (2018)
James Lin, Minhua Wen, Delong Meng, Xin Liu, Akira Nukada, Satoshi Matsuoka
Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. CCGrid (2018)
Adrián Pérez Diéguez, Margarita Amor, Ramon Doallo, Akira Nukada, Satoshi Matsuoka
Efficient Solving of Scan Primitive on Multi-GPU Systems. IPDPS (2018)
Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka
μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching. CoRR (2018)
Kazuaki Matsumura, Mitsuhisa Sato, Taisuke Boku, Artur Podobas, Satoshi Matsuoka
MACC: An OpenACC Transpiler for Automatic Multi-GPU Use. SCFA (2018)
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs. CoRR (2018)
Peng Chen, Mohamed Wahib, Shin'ichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
Efficient Algorithms for the Summed Area Tables Primitive on GPUs. CLUSTER (2018)
Tianqi Xu, Kento Sato, Satoshi Matsuoka
Explorations of Data Swapping on Burst Buffer. ICPADS (2018)
Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka
Predicting Performance Using Collaborative Filtering. CLUSTER (2018)
Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL. FPGA (2018)
Abdelhalim Amer, Huiwei Lu, Pavan Balaji, Milind Chabbi, Yanjie Wei, Jeff R. Hammond, Satoshi Matsuoka
Lock Contention Management in Multithreaded MPI. ACM Trans. Parallel Comput. 5 (3) (2018)
James Lin, Zhigeng Xu, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka
Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor. ICPP (2017)
Shweta Salaria, Kevin A. Brown, Hideyuki Jitsumoto, Satoshi Matsuoka
Evaluation of HPC-Big Data Applications Using Cloud Platforms. CCGrid (2017)
Shota Kuroda, Toshio Endo, Satoshi Matsuoka
Applying Temporal Blocking with a Directive-based Approach. LLVM-HPC@SC (2017)
Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU. ICPP (2017)
Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. ICONIP (2) (2017)
Zhigeng Xu, James Lin, Satoshi Matsuoka
Benchmarking SW26010 Many-Core Processor. IPDPS Workshops (2017)
Artur Podobas, Satoshi Matsuoka
Designing and accelerating spiking neural networks using OpenCL for FPGAs. FPT (2017)
Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka
Evaluating high-level design strategies on FPGAs for high-performance computing. FPL (2017)
Satoshi Matsuoka
Being "BYTES-oriented" in HPC leads to an open big data/AI ecosystem and further advances into the post-moore era. IEEE BigData (2017)
Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops (2017)
Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, Satoshi Matsuoka
Efficient Breadth-First Search on Massively Parallel and Distributed-Memory Machines. Data Sci. Eng. 2 (1) (2017)
Xinhua Lin, Qiang Qin, Shuo Li, Minhua Wen, Satoshi Matsuoka
使用Stencil评估Intel AVX2 Vgather指令 (Evaluating Intel AVX2 Vgather Instructions with Stencils). 计算机科学 44 (1) (2017)
Artur Podobas, Hamid Reza Zohouri, Naoya Maruyama, Satoshi Matsuoka
Evaluating high-level design strategies on FPGAs for high-performance computing. FPL (2017)
Kevin A. Brown, Satoshi Matsuoka
Co-locating Graph Analytics and HPC Applications. CLUSTER (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Satoshi Matsuoka