Akihiko Kasagi

According to our database, Akihiko Kasagi authored at least 33 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Performance Analysis of Quantum Computer Simulators Across Different Environments.

Nozomi Aoki, Masafumi Yamazaki, Akira Hirai, Mari Yamaoka, Naoto Fukumoto, Akihiko Kasagi, Masato Oguchi

Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

Introduction to Computational Quantum Chemistry for Computer Scientists.

Yasuaki Ito, Satoki Tsuji, Haruto Fujii, Kanta Suzuki, Nobuya Yokogawa, Koji Nakano, Akihiko Kasagi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

GPU implementations of deflate encoding and decoding.

Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Akihiko Kasagi

Concurr. Comput. Pract. Exp., 2023

NEEBS: Nonexpert large-scale environment building system for deep neural network.

Yoshiharu Tajima, Masahiro Asaoka, Akihiro Tabuchi, Akihiko Kasagi, Tsuguchika Tabaru

Concurr. Comput. Pract. Exp., 2023

A novel structured sparse fully connected layer in convolutional neural networks.

Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Concurr. Comput. Pract. Exp., 2023

An Analysis of Graph Neural Network Memory Access Patterns.

Satoshi Iwata, Remzi H. Arpaci-Dusseau, Akihiko Kasagi

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

mpiQulacs: A Scalable Distributed Quantum Computer Simulator for ARM-based Clusters.

Akihiro Tabuchi, Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Offline Quantum Circuit Pruning for Quantum Chemical Calculations.

Satoshi Imamura, Akihiko Kasagi, Eiji Yoshida

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Efficient GPU-Accelerated Bulk Evaluation of the Boys Function for Quantum Chemistry.

Satoki Tsuji, Yasuaki Ito, Koji Nakano, Akihiko Kasagi

Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023

2022

mpiQulacs: A Distributed Quantum Computer Simulator for A64FX-based Cluster Systems.

Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Akihiro Tabuchi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima

CoRR, 2022

The Bonsai Hypothesis: An Efficient Network Pruning Technique.

Yasuaki Ito, Koji Nakano, Akihiko Kasagi

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

BERT-Based Scientific Paper Quality Prediction.

Taiki Sasaki, Yasuaki Ito, Koji Nakano, Akihiko Kasagi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Regularizing Data for Improving Execution Time of NLP Model.

Thang Dang, Yasufumi Sakai, Tsuguchika Tabaru, Akihiko Kasagi

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning.

Koji Nakano, Shotaro Aoki, Yasuaki Ito, Akihiko Kasagi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Acceleration of Deflate Encoding and Decoding with GPU implementations.

Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Akihiko Kasagi

Proceedings of the Ninth International Symposium on Computing and Networking, 2021

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing.

Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru

Proceedings of the Ninth International Symposium on Computing and Networking, 2021

The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.

Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

Efficient convolution pooling on the GPU.

Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru

J. Parallel Distributed Comput., 2020

An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs.

Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Huffman Coding with Gap Arrays for GPU Acceleration.

Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster.

Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds.

Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima

CoRR, 2019

Efficient cuDNN-Compatible Convolution-Pooling on the GPU.

Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration.

Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru

Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019

2017

Fast algorithm using summed area tables with unified layer performing convolution and average pooling.

Akihiko Kasagi, Tsuguchika Tabaru, Hirotaka Tamura

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2015

Parallelization Techniques for Error Diffusion with GPU Implementations.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

Proceedings of the Third International Symposium on Computing and Networking, 2015

2014

Offline Permutation on the CUDA-enabled GPU.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

IEICE Trans. Inf. Syst., 2014

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013

Offline Permutation Algorithms on the Discrete Memory Machine with Performance Evaluation on the GPU.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

IEICE Trans. Inf. Syst., 2013

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU Implementation.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012

An Implementation of Conflict-Free Offline Permutation on the GPU.

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

Proceedings of the Third International Conference on Networking and Computing, 2012