Akihiko Kasagi

44 papers A 1B 3C 1Misc 6Journal 12Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
GPU-Accelerated One-Electron Integral Computation for Quantum Chemistry.
Concurr. Comput. Pract. Exp.
Nobuya Yokogawa, Yasuaki Ito, Satoki Tsuji, Haruto Fujii, Kanta Suzuki, Koji Nakano, Victor Parque, Akihiko Kasagi
2025 — conf
A GPU Implementation of the Second- and Third-Order Møller-Plesset Perturbation Theory.
CANDARW
Satoki Tsuji, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki, Koji Nakano, Victor Parque, Akihiko Kasagi
2025 J jnl
Efficient GPU Implementations of Three-Center Two-Electron Repulsion Integrals.
Concurr. Comput. Pract. Exp.
Kanta Suzuki, Yasuaki Ito, Haruto Fujii, Nobuya Yokogawa, Satoki Tsuji, Koji Nakano, Victor Parque, Akihiko Kasagi
2025 — conf
Fully GPU-Accelerated Full Configuration Interaction for Exact Molecular Ground-state Energy Calculation.
CANDAR
Hong Gao, Yasuaki Ito, Koji Nakano, Satoshi Imamura, Akihiko Kasagi, Satoki Tsuji
2025 — conf
GPU Acceleration of RI-RMP2 Correlation Energy Computation.
CANDAR
Kanta Suzuki, Yasuaki Ito, Nobuya Yokogawa, Satoki Tsuji, Koji Nakano, Victor Parque, Akihiko Kasagi
2025 J jnl
GPU Acceleration of the Boys Function Evaluation in Computational Quantum Chemistry.
Concurr. Comput. Pract. Exp.
Satoki Tsuji, Yasuaki Ito, Koji Nakano, Akihiko Kasagi
2024 — conf
A GPU Implementation of McMurchie-Davidson Algorithm for Two-Electron Repulsion Integral Computation.
PPAM (1)
Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki, Satoki Tsuji, Koji Nakano, Akihiko Kasagi
2024 — conf
Dynamic Screening of Two-Electron Repulsion Integrals in GPU Parallelization.
CANDARW
Satoki Tsuji, Yasuaki Ito, Haruto Fujii, Nobuya Yokogawa, Kanta Suzuki, Koji Nakano, Akihiko Kasagi
2024 — conf
GPU Acceleration of Head-Gordon-Pople Algorithm.
CANDAR
Kanta Suzuki, Yasuaki Ito, Haruto Fujii, Nobuya Yokogawa, Satoki Tsuji, Koji Nakano, Akihiko Kasagi
2024 — conf
Introduction to Computational Quantum Chemistry for Computer Scientists.
IPDPS (Workshops)
Yasuaki Ito, Satoki Tsuji, Haruto Fujii, Kanta Suzuki, Nobuya Yokogawa, Koji Nakano, Akihiko Kasagi
2024 Misc conf
Noise-Robust Molecule Decomposition for Variational Quantum Eigensolver.
QCE
Naoki Iijima, Satoshi Imamura, Akihiko Kasagi, Eiji Yoshida
2024 — conf
Parallel GPU Computation of Nuclear Attraction Integrals in Quantum Chemistry.
CANDARW
Nobuya Yokogawa, Yasuaki Ito, Satoki Tsuji, Haruto Fujii, Kanta Suzuki, Koji Nakano, Akihiko Kasagi
2024 C conf
Performance Analysis of Quantum Computer Simulators Across Different Environments.
SERA
Nozomi Aoki, Masafumi Yamazaki, Akira Hirai, Mari Yamaoka, Naoto Fukumoto, Akihiko Kasagi, Masato Oguchi
2023 J jnl
A novel structured sparse fully connected layer in convolutional neural networks.
Concurr. Comput. Pract. Exp.
Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2023 — conf
An Analysis of Graph Neural Network Memory Access Patterns.
SC Workshops
Satoshi Iwata, Remzi H. Arpaci-Dusseau, Akihiko Kasagi
2023 — conf
Efficient GPU-Accelerated Bulk Evaluation of the Boys Function for Quantum Chemistry.
candar
Satoki Tsuji, Yasuaki Ito, Koji Nakano, Akihiko Kasagi
2023 J jnl
GPU implementations of deflate encoding and decoding.
Concurr. Comput. Pract. Exp.
Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Akihiko Kasagi
2023 J jnl
NEEBS: Nonexpert large-scale environment building system for deep neural network.
Concurr. Comput. Pract. Exp.
Yoshiharu Tajima, Masahiro Asaoka, Akihiro Tabuchi, Akihiko Kasagi, Tsuguchika Tabaru
2023 Misc conf
Offline Quantum Circuit Pruning for Quantum Chemical Calculations.
QCE
Satoshi Imamura, Akihiko Kasagi, Eiji Yoshida
2023 Misc conf
mpiQulacs: A Scalable Distributed Quantum Computer Simulator for ARM-based Clusters.
QCE
Akihiro Tabuchi, Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima
2022 — conf
BERT-Based Scientific Paper Quality Prediction.
ICANN (4)
Taiki Sasaki, Yasuaki Ito, Koji Nakano, Akihiko Kasagi
2022 Misc conf
Regularizing Data for Improving Execution Time of NLP Model.
FLAIRS
Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi
2022 — conf
The Bonsai Hypothesis: An Efficient Network Pruning Technique.
AIAI (1)
Yasuaki Ito, Koji Nakano, Akihiko Kasagi
2022 J jnl
mpiQulacs: A Distributed Quantum Computer Simulator for A64FX-based Cluster Systems.
CoRR
Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Akihiro Tabuchi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima
2021 — conf
Acceleration of Deflate Encoding and Decoding with GPU implementations.
CANDAR (Workshops)
Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Akihiko Kasagi
2021 — conf
Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing.
CANDAR
Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru
2021 J jnl
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
CoRR
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
2021 — conf
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
MLHPC@SC
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
2021 — conf
On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning.
IPDPS Workshops
Koji Nakano, Shotaro Aoki, Yasuaki Ito, Akihiko Kasagi
2021 Misc conf
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.
HiPC
Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato
2020 — conf
An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs.
IPDPS Workshops
Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2020 A conf
An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster.
HPDC
Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
2020 J jnl
Efficient convolution pooling on the GPU.
J. Parallel Distributed Comput.
Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
2020 B conf
Huffman Coding with Gap Arrays for GPU Acceleration.
ICPP
Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru
2019 — conf
Efficient cuDNN-Compatible Convolution-Pooling on the GPU.
PPAM (2)
Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru
2019 — conf
Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration.
CANDAR Workshops
Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru
2019 J jnl
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds.
CoRR
Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima
2017 — conf
Fast algorithm using summed area tables with unified layer performing convolution and average pooling.
MLSP
Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura
2015 — conf
Parallelization Techniques for Error Diffusion with GPU Implementations.
CANDAR
Akihiko Kasagi, Koji Nakano, Yasuaki Ito
2014 J jnl
Offline Permutation on the CUDA-enabled GPU.
IEICE Trans. Inf. Syst.
Akihiko Kasagi, Koji Nakano, Yasuaki Ito
2014 B conf
Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations.
ICPP
Akihiko Kasagi, Koji Nakano, Yasuaki Ito
2013 B conf
An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU Implementation.
ICPP
Akihiko Kasagi, Koji Nakano, Yasuaki Ito
2013 J jnl
Offline Permutation Algorithms on the Discrete Memory Machine with Performance Evaluation on the GPU.
IEICE Trans. Inf. Syst.
Akihiko Kasagi, Koji Nakano, Yasuaki Ito
2012 Misc conf
An Implementation of Conflict-Free Offline Permutation on the GPU.
ICNC
Akihiko Kasagi, Koji Nakano, Yasuaki Ito