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件数:217件
[2019]
1.[] VLSI Design and Test for Systems Dependability.[Springer Japan,(2019)]Hiroyuki Takizawa, Ye Gao, Masayuki Sato, Ryusuke Egawa, and Hiroaki Kobayashi
[2018]
2.[] Advanced Software Technologies for Post-Peta Scale Computing.[Springer,(2018)]Hiroyuki Takizawa, Reiji Suda, Daisuke Takahashi, and Ryusuke Egawa
3.[] Automatic hyperparameter tuning of machine learning models under time constraints.[IEEE Big Data 2018 Workshop,(2018)]Zhen Wang, Agung Mulya, Ryusuke Egawa, Reiji Suda, and Hiroyuki Takizawa
4.[] Enhancing memory bandwidth in a single stream computation with multiple FPGAs.[The 2018 International Conference on Field-Programmable Technology (FPT’18),(2018)]Antoniette Mondigo, Kentaro Sano, and Hiroyuki Takizawa
5.[] A Locality and Memory Congestion-aware Thread Mapping Method for Modern NUMA Systems.[ACM/IEEE Supercomputing Conference 2018 (SC18) (poster),(2018)]Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, and Hiroyuki Takizawa
6.[] Investigating the Effects of Dynamic Thread Team Size Adjustment for Irregular Applications.[The Sixth International Symposium on Computing and Networking (CANDAR 2018),(2018)]Xiong Xiao, Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa and Hiroyuki Takizawa
7.[] Preconditioner auto-tuning with deep learning for sparse iterative algorithms.[The Sixth International Symposium on Computing and Networking Workshops (CANDARW 2018), LHAM workshop,(2018)]Kenya Yamada, Takahiro Katagiri, Hiroyuki Takizawa, Kazuo Minami, Mitsuo Yokokawa, Toru Nagai and Masao Ogino
8.[] A Machine Learning-based Approach for Selecting SpMV Kernels and Matrix Storage Formats.[IEICE Transactions on Information and Systems,E101-D(9),(2018),2307-2314]Hang Cui, Shoichi Hirasawa, Hiroaki Kobayashi, and Hiroyuki Takizawa
9.[] A Failure Prediction-based Adaptive Checkpointing Method with Less Reliance on Temperature Monitoring for HPC Applications.[2018 IEEE International Conference on Cluster Computing, FTS workshop,(2018),483-491]Muhammad Alfian Amrizal, Pei Li, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa
10.[] Expressing the Differences in Code Optimizations between Intel Knights Landing and NEC SX-ACE Processors.[The 13th World Congress on Computational Mechanics/2nd Pan American Congress on Computational Mechanics,(2018)]Hiroyuki Takizawa, Thorsten Reimann, Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Akihiro Musa, and Hiroaki Kobayashi
11.[] Performance Estimation of Deeply Pipelined Fluid Simulation on Multiple FPGAs with High-speed Communication Subsystem.[The 29th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2018),(2018),10-12]Antoniette Mondigo, Ketnaro Sano, and Hiroyuki Takizawa
12.[] Use of Code Structural Features for Machine Learning to Predict Effective Optimizations.[33rd IEEE International Parallel & Distributed Processing Symposium Workshops(IPDPSW), International Workshop on Automatic Performance Tuning,(2018),1049-1055]Yuki Kawarabatake, Mulya Agung, Kazuhiko Komatsu, Ryusuke Egawa, and Hiroyuki Takizawa
13.[] MIGRATING AN OLD VECTOR CODE TO MODERN VECTOR MACHINES.[30th International Conference on Parallel Computational Fluid Dynamics,(2018)]Hiroyuki Takizawa, Kenta Yamaguchi, Takashi Soga, Thorsten Reimann, Kazuhiko Komatsu, Ryusuke Egawa, Akihiro Musa, and Hiroaki Kobayashi
[2017]
14.[] A Memory Congestion-aware MPI Process Placement for Modern NUMA Systems.[The 24th International Conference on High-Performance Computing, Data, and Analytics (HiPC 2017),(2017)]Mulya Agung, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa, and Hiroyuki Takizawa
15.[] Energy-Performance Modeling of Speculative Checkpointing for Exascale Systems.[IEICE Transactions on Information and Systems,100-D(12),(2017),2749-2760]Muhammad Alfian Amrizal, Atsuya Uno, Yukinori Sato, Hiroyuki Takizawa, and Hiroaki Kobayashi
16.[] Designing an Open Database of System-aware Code Optimizations.[The Fifth International Symposium on Computing and Networking,(2017)]Ryusuke Egawa, Kazuhiko Komatsu and Hiroyuki Takizawa
17.[] An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning.[The Fifth International Symposium on Computing and Networking,(2017)]Hiroyuki Takizawa, Muhammad Alfian Amrizal, Kazuhiko Komatsu and Ryusuke Egawa
18.[] Performance and Power Analysis of SX-ACE Using HP-X Benchmark Programs.[IEEE Cluster 2017,(2017),693-700]Ryusuke Egawa, Kazuhiko Komatsu, Yoko Isobe, Toshihiro Kato, Souya Fujimoto, Hiroyuki Takizawa, Akihiro Musa, and Hiroaki Kobayashi
19.[] Vectorization-Aware Loop Optimization with User-Defined Code Transformations.[IEEE Cluster 2017,(2017),685-692]Hiroyuki Takizawa, Thorsten Reimann, Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Akihiro Musa, and Hiroaki Kobayashi
20.[] Optimizing Energy Consumption on HPC Systems with a Multi-Level Checkpointing Mechanism.[The 12-th International Conference on Networking, Architecture, and Storage (NAS 2017),(2017)]Muhammad Alfian Amrizal, and Hiroyuki Takizawa
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