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Alfian Amrizal
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2020 – today
- 2022
- [c16]Fitra Rahmani Khasyah, Kadek Gemilang Santiyuda, Gabriel Kaunang, Faizal Makhrus, Muhammad Alfian Amrizal, Hiroyuki Takizawa:
An Advantage Actor-Critic Deep Reinforcement Learning Method for Power Management in HPC Systems. PDCAT 2022: 94-107 - 2021
- [j4]Bo Chen, Muhammad Alfian Amrizal, Satoru Izumi, Toru Abe, Takuo Suganuma:
Improving the Efficiency in Multiple Object Tracking by Tracker Switching According to Occlusion States. J. Inf. Process. 29: 717-724 (2021) - 2020
- [j3]Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa:
DeLoc: A Locality and Memory-Congestion-Aware Task Mapping Method for Modern NUMA Systems. IEEE Access 8: 6937-6953 (2020) - [j2]Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa:
Online MPI Process Mapping for Coordinating Locality and Memory Congestion on NUMA Systems. Supercomput. Front. Innov. 7(1): 71-90 (2020) - [c15]Jiahao Wen, Luis Guillen, Muhammad Alfian Amrizal, Toru Abe, Takuo Suganuma:
An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores. ISVC (1) 2020: 263-275
2010 – 2019
- 2019
- [c14]Muhammad Alfian Amrizal, Luis Guillen, Takuo Suganuma:
Toward an Optimal Anomaly Detection Pattern in Wireless Sensor Networks. COMPSAC (1) 2019: 912-913 - [c13]Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa:
The Impacts of Locality and Memory Congestion-aware Thread Mapping on Energy Consumption of Modern NUMA Systems. COOL CHIPS 2019: 1-3 - [c12]Minya Cai, Muhammad Alfian Amrizal, Toru Abe, Takuo Suganuma:
Design and Implementation of AR-Supported System for Piano Learning. GCCE 2019: 49-50 - [c11]Hayato Abe, Misumi Hata, Muhammad Alfian Amrizal, Satoru Izumi, Toru Abe, Takuo Suganuma:
Estimation of Power Consumption of ICT Devices Based on Network Traffic. GCCE 2019: 1047-1048 - [c10]Minya Cai, Muhammad Alfian Amrizal, Toru Abe, Takuo Suganuma:
Design of an AR-Based System for Group Piano Learning. ISMAR Adjunct 2019: 20-21 - [c9]Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa:
An Automatic MPI Process Mapping Method Considering Locality and Memory Congestion on NUMA Systems. MCSoC 2019: 17-24 - [c8]Muhammad Alfian Amrizal, Luis Guillen, Takuo Suganuma:
An Analytical Approach for Optimizing Data Transfer Rate in a Faulty Wireless Sensor Network. PRDC 2019: 122-123 - [c7]Mulya Agung, Allen D. Malony, Hiroyuki Takizawa, David P. Bunde, Muhammad Alfian Amrizal, Steven Bogaerts, Ryusuke Egawa, Daniel A. Ellsworth, Jorge Fernández-Fabeiro, Arturo González-Escribano, Sukhamay Kundu, Alina Lazar:
Peachy Parallel Assignments (EduHPC 2019). EduHPC@SC 2019: 75-83 - 2018
- [c6]Muhammad Alfian Amrizal, Pei Li, Mulya Agung, Ryusuke Egawa, Hiroyuki Takizawa:
A Failure Prediction-Based Adaptive Checkpointing Method with Less Reliance on Temperature Monitoring for HPC Applications. CLUSTER 2018: 515-523 - [c5]Xiong Xiao, Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa:
Investigating the Effects of Dynamic Thread Team Size Adjustment for Irregular Applications. CANDAR 2018: 76-84 - 2017
- [j1]Muhammad Alfian Amrizal, Atsuya Uno, Yukinori Sato, Hiroyuki Takizawa, Hiroaki Kobayashi:
Energy-Performance Modeling of Speculative Checkpointing for Exascale Systems. IEICE Trans. Inf. Syst. 100-D(12): 2749-2760 (2017) - [c4]Mulya Agung, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa:
A Memory Congestion-Aware MPI Process Placement for Modern NUMA Systems. HiPC 2017: 152-161 - [c3]Hiroyuki Takizawa, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa:
An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning. CANDAR 2017: 389-394 - [c2]Muhammad Alfian Amrizal, Hiroyuki Takizawa:
Optimizing Energy Consumption on HPC Systems with a Multi-Level Checkpointing Mechanism. NAS 2017: 1-9 - 2014
- [c1]Alfian Amrizal, Shoichi Hirasawa, Hiroyuki Takizawa, Hiroaki Kobayashi:
Automatic Parameter Tuning of Hierarchical Incremental Checkpointing. VECPAR 2014: 298-309
Coauthor Index
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