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ORCIDNaoto Fukumoto
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2020 – today
- 2024
[c13]Masaki Arai
, Naoto Fukumoto, Hitoshi Murai:
Introducing software pipelining for the A64FX processor into LLVM. HPC Asia Workshops 2024: 1-6- [c12]Nozomi Aoki, Masafumi Yamazaki, Akira Hirai, Mari Yamaoka, Naoto Fukumoto, Akihiko Kasagi, Masato Oguchi:
Performance Analysis of Quantum Computer Simulators Across Different Environments. SERA 2024: 115-120 - 2023
- [c11]Akihiro Tabuchi, Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima:
mpiQulacs: A Scalable Distributed Quantum Computer Simulator for ARM-based Clusters. QCE 2023: 959-969 - 2022
- [j3]Kentaro Kawakami, Kouji Kurihara, Masafumi Yamazaki, Takumi Honda, Naoto Fukumoto:
A Binary Translator to Accelerate Development of Deep Learning Processing Library for AArch64 CPU. IEICE Trans. Electron. 105-C(6): 222-231 (2022) - [j2]Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi:
A traffic-aware memory-cube network using bypassing. Microprocess. Microsystems 90: 104471 (2022) - [c10]Yusuke Nagasaka, Naoto Fukumoto:
Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage. CCGRID 2022: 534-543 - [c9]Shingo Okuno, Akira Hirai, Naoto Fukumoto:
Performance Analysis of Multi-Containerized MD Simulations for Low-Level Resource Allocation. IPDPS Workshops 2022: 1014-1017 - [i3]Satoshi Imamura, Masafumi Yamazaki, Takumi Honda, Akihiko Kasagi, Akihiro Tabuchi, Hiroshi Nakao, Naoto Fukumoto, Kohta Nakashima:
mpiQulacs: A Distributed Quantum Computer Simulator for A64FX-based Cluster Systems. CoRR abs/2203.16044 (2022) - 2021
- [j1]Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima:
Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization. IEICE Trans. Electron. 104-C(6): 257-260 (2021) - [c8]Shingo Okuno, Masahiro Miwa, Naoto Fukumoto:
Towards Straggler-Tolerant and Accuracy-Aware Distributed DNN Training in Clouds. CCGRID 2021: 614-617 - [c7]Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato:
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. HiPC 2021: 152-161 - [c6]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: 33-45 - [c5]Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi:
Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths. PDP 2021: 143-147 - [i2]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 abs/2110.11466 (2021) - 2020
- [c4]Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima:
An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster. HPDC 2020: 203-207
2010 – 2019
- 2019
- [i1]Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima:
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds. CoRR abs/1903.12650 (2019) - 2017
- [c3]Chunghan Lee, Tatsuo Kumano, Tatsuma Matsuki, Hiroshi Endo, Naoto Fukumoto, Mariko Sugawara:
Understanding storage traffic characteristics on enterprise virtual desktop infrastructure. SYSTOR 2017: 13:1-13:11
2000 – 2009
- 2009
- [c2]Naoto Fukumoto, Kenichi Imazato, Koji Inoue, Kazuaki J. Murakami:
Performance balancing: software-based on-chip memory management for effective CMP executions. MEDEA@PACT 2009: 28-34 - 2008
- [c1]Naoto Fukumoto, Tomonobu Mihara, Koji Inoue, Kazuaki J. Murakami:
Analyzing the impact of data prefetching on Chip MultiProcessors. ACSAC 2008
Coauthor Index
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last updated on 2024-10-09 20:31 CEST by the dblp team
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