Naoto Fukumoto

According to our database, Naoto Fukumoto authored at least 18 papers between 2008 and 2024.

Collaborative distances:

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

2024

Introducing software pipelining for the A64FX processor into LLVM.

Masaki Arai, Naoto Fukumoto, Hitoshi Murai

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024

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

2022

A traffic-aware memory-cube network using bypassing.

Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi

Microprocess. Microsystems, April, 2022

A Binary Translator to Accelerate Development of Deep Learning Processing Library for AArch64 CPU.

Kentaro Kawakami, Kouji Kurihara, Masafumi Yamazaki, Takumi Honda, Naoto Fukumoto

IEICE Trans. Electron., 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

Performance Analysis of Multi-Containerized MD Simulations for Low-Level Resource Allocation.

Shingo Okuno, Akira Hirai, Naoto Fukumoto

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage.

Yusuke Nagasaka, Naoto Fukumoto

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization.

Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima

IEICE Trans. Electron., 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

Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths.

Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi

Proceedings of the 29th Euromicro International Conference on Parallel, 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

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

Towards Straggler-Tolerant and Accuracy-Aware Distributed DNN Training in Clouds.

Shingo Okuno, Masahiro Miwa, Naoto Fukumoto

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

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

2017

Understanding storage traffic characteristics on enterprise virtual desktop infrastructure.

Chunghan Lee, Tatsuo Kumano, Tatsuma Matsuki, Hiroshi Endo, Naoto Fukumoto, Mariko Sugawara

Proceedings of the 10th ACM International Systems and Storage Conference, 2017

2009

Performance balancing: software-based on-chip memory management for effective CMP executions.

Naoto Fukumoto, Kenichi Imazato, Koji Inoue, Kazuaki J. Murakami

Proceedings of the 10th workshop on MEmory performance, 2009

2008

Analyzing the impact of data prefetching on Chip MultiProcessors.

Naoto Fukumoto, Tomonobu Mihara, Koji Inoue, Kazuaki J. Murakami

Proceedings of the 13th Asia-Pacific Computer Systems Architecture Conference, 2008