(Last updated : 2024-12-03 12:15:04)
  Toshiyuki Maeda
Software Technology and Artificial Intelligence Research Laboratory (STAIR Lab)
Principal Research Scientist
■ Academic background
1. 2002/04~2006/03 〔Doctorial Course〕, The University of Tokyo, Completed, Ph.D. in Information Science and Technology
2. 2000/04~2002/03 〔Master Course〕, The University of Tokyo, Completed, Master of Science
3. 1996/04~2000/03 Department of Information Science, Faculty of Science, The University of Tokyo, Graduated, Bachelor of Science
■ Present specialized field
Software, Information security, High performance computing (Key Word:Programming Languages, Memory Consistency Models, Systems Software, Virtualization Technology, Software Container Technology, HPC Usability, Software Framework for Artificial Intelligence Research and Development) 
■ Research activities
1. 2020/06~ ∟ Director
■ Works
1. Article Predicting How CNN Training Time Changes on Various Mini-Batch Sizes by Considering Convolution Algorithms and Non-GPU Time Proceedings of the 2021 on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy  (Collaboration) 2021/06/25 Link
2. Article PubChemQC PM6: Data Sets of 221 Million Molecules with Optimized Molecular Geometries and Electronic Properties J. Chem. Inf. Model. 60(12),pp.5891-5899 (Collaboration) 2020/10/26 Link
3. Article Reordering Control Approaches to State Explosion in Model Checking with Memory Consistency Models LECTURE NOTES IN COMPUTER SCIENCE 10712 (Collaboration) 2017/12/15 Link
4. Article Model checking copy phases of concurrent copying garbage collection with various memory models Proceedings of the ACM on Programming Languages 1(OOPSLA) (Collaboration) 2017/10/12 Link
5. Article An Empirical Study of Computation-Intensive Loops for Identifying and Classifying Loop Kernels: Full Research Paper Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering  (Collaboration) 2017/04/17 Link
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