Muhammad Alfian Amrizal, B.Eng., M.I.S., Ph.D.

  • 28 January 2021, 16.30
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Email : muhammad.alfian.amrizal@ugm.ac.id
Website : 
Education Background :
  • Doctor, Graduate School of Information Sciences, Tohoku University, Japan, 2014-2017
  • Master, Graduate School of Information Sciences, Tohoku University, Japan, 2012-2014
  • Undergraduate, School of Engineering, Tohoku University, Japan, 2008-2012
Research Interest :
  • High Performance Computing, Performance Modeling, Wireless Sensor Network
Research Cluster/Group :
  • Computer Science
List of Publications :

  • Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa. Online MPI Process Mapping for Coordinating Locality and Memory Congestion on NUMA Systems. Supercomputing Frontiers and Innovations, Vol. 7, No. 1, pp. 71-90, 2020.

  • 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, vol. 8, pp. 6937-6953, 2020.
  • Muhammad Alfian Amrizal, Luis Guillen, Takuo Suganuma. An Analytical Approach for Optimizing Data Transfer Rate in a Faulty Wireless Sensor Network. In the 2019 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 122-123, Kyoto, Japan, December 2019.
  • Muhammad Alfian Amrizal, Luis Guillen, Takuo Suganuma. Toward an Optimal Anomaly Detection Pattern in Wireless Sensor Networks. In the 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), pp. 912-913, Milwaukee, WI, USA, July 2019.
  • 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. In the 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 515-523, Belfast, UK, September 2018.
  • Muhammad Alfian Amrizal, Atsuya Uno, Yukinori Sato, Hiroyuki Takizawa, Hiroaki Kobayashi. Energy-Performance Modeling of Speculative Checkpointing for Exascale Systems. IEICE Transactions on Information and Systems, Vol. E100-D, No. 12, pp. 2749-2760, 2017.

  • Mulya Agung, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa. A Memory Congestion-aware MPI Process Placement for Modern NUMA Systems. In the 2017 IEEE 24th International Conference on High Performance Computing (HiPC), pp. 152-161, Jaipur, India, December 2017.

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