藤澤研究室│九州大学 マス・フォア・インダストリ研究所 藤澤研究室│九州大学 マス・フォア・インダストリ研究所
English / 日本語

Professor Katsuki Fujisawa

Tsuyoshi Takagi

Professor Katsuki Fujisawa

Institute of Mathematics for Industry, Kyushu University
744, Motooka, Nishku, Fukuoka
819-0395, JAPAN

Tel: +81-92-802-4453, Fax: +81-92-802-4405
Email: fujisawa@imi.kyushu-u.ac.jp

    Areas of Interest

    • Graph Analysis
    • Mathematical Optimization
    • Combinatorial Optimization
    • Operations Research
    • High-performance Computing
    • Data Analysis
    • Artificial Intelligence


    Education

    • Ph.D. D.Sc. (1998), Tokyo Institute of Technology, Japan
    • Ph.D. thesis title: The implementation and experimental analyses of primal-dual interior-point method for the semidefinite programming
    • M.Eng. (1995), Waseda University, Japan
    • B.Eng. (1993), Waseda University, Japan


    Scientific Career

    • 2019-present, Professor, Division for Intelligent Societal Implementation of Mathematical Computation, Institute of Mathematics for Industry, Kyushu University, Japan.
    • 2019-present, Joint Appointed Fellow, Artificial Intelligence Research Center (AIRC), AIST, Japan
    • 2019-present, Deputy Director, AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), AIST, Japan
    • 2018-2019, Director, Real World Big-Data Computation Open Innovation Laboratory(RWBC-OIL), AIST, Japan.
    • 2014-2019, Professor, Laboratory of Advanced Software in Mathematics, Institute of Mathematics for Industry, Kyushu University, Japan.
    • 2012-2014, Professor, Department of Industrial and Systems Engineering, Chuo University, Japan.
    • 2007-2012, Associate Professor, Department of Industrial and Systems Engineering, Chuo University, Japan.
    • 2002-2007, Associate Professor, Department of Mathematical Science, Tokyo Denki University, Japan.
    • 1998-2002, Assistant Professor, Department of Architecture and Architectural Systems, Kyoto University, Japan


    Awards

      ・Katsuki Fujisawa et al., The 1st place in the 18th Graph 500 Benchmark, ISC19, Frankfurt, Germany, 2019.
      ・Katsuki Fujisawa et al., The 1st place in the 17th Graph 500 Benchmark, SC18, Dallas, USA, 2018.
      ・Katsuki Fujisawa et al., The 1st place in the 16th Graph 500 Benchmark, ISC18, Frankfurt, Germany, 2018.
      ・Katsuki Fujisawa, Prizes for Science and Technology (Research Category), Commendation for Science and Technology by the Minister of Education、Culture、Sports、Science and Technology, Japan,2017
      ・Katsuki Fujisawa et al., The 1st place in the 15th Graph 500 Benchmark, SC17, Denver, USA, 2017.
      ・Katsuki Fujisawa et al., The 1st place in the 14th Graph 500 Benchmark, ISC17, Frankfurt, Germany, 2017.
      ・Katsuki Fujisawa et al., The 1st place in the 13th Graph 500 Benchmark, SC16, Salt Lake City, USA, 2016.
      ・Katsuki Fujisawa et al., The 1st place in the 7th Green Graph 500 Benchmark, ISC16, Frankfurt, Germany, 2016.
      ・Katsuki Fujisawa et al., The 1st place in the 12th Graph 500 Benchmark, ISC16, Frankfurt, Germany, 2016.
      ・Katsuki Fujisawa et al., The 1st place in the 6th Green Graph 500 Benchmark, SC15, Austin, USA, 2015.
      ・Katsuki Fujisawa et al., The 1st place in the 11th Graph 500 Benchmark, SC15, Austin, USA, 2015.
      ・Katsuki Fujisawa et al., The 1st place in the 5th Green Graph 500 Benchmark, ISC15, Frankfurt, Germany, 2015.
      ・Katsuki Fujisawa et al., The 1st place in the 10th Graph 500 Benchmark, ISC15, Frankfurt, Germany, 2015.
      ・Katsuki Fujisawa et al., The 1st place in the 4th Green Graph 500 Benchmark, SC14, New Orleans, USA, 2014.
      ・Katsuki Fujisawa et al., The 2nd place in the 9th Graph 500 Benchmark, ISC14, New Orleans, USA, 2014.
      ・Katsuki Fujisawa et al., The 1st place in the 3rd Green Graph 500 Benchmark, ISC14, Leipzig, Germany, 2014.
      ・Katsuki Fujisawa et al., The 1st place in the 8th Graph 500 Benchmark, ISC14, Leipzig, Germany, 2014.
      ・Katsuki Fujisawa et al., The 1st place in the 2nd Green Graph 500 Benchmark, SC13, Denver, USA, 2013.
      ・Katsuki Fujisawa et al., Best Poster Award, NVIDIA GTC Japan, 2013.
      ・Katsuki Fujisawa, Research Award, The Operation Research Society of Japan, 2013.
      ・Katsuki Fujisawa et al., The 1st place in the 1st Green Graph 500 Benchmark, ISC13, Hamburg, Germany, 2013.
      ・Katsuki Fujisawa et al., The 4th place in the 5th Graph 500 Benchmark, SC12, Salt Lake City, USA, 2012.
      ・Katsuki Fujisawa et al., The 3rd place in the 4th Graph 500 Benchmark, ISC12, Hamburg, Germany, 2012.
      ・Katsuki Fujisawa et al., The 3rd place in the 3rd Graph 500 Benchmark, SC11, Seattle, USA, 2011.
      ・Katsuki Fujisawa, Research Encourage Award, The Operation Research Society of Japan, 2006.
      ・Katsuki Fujisawa, Student Thesis Award, The Operation Research Society of Japan, 1993.


    Publications

      (1) Refereed Papers for Academic Journal

    • Akihiro Yoshida, Tatsuru Higurashi, Masaki Maruishi, Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Takashi Wakamatsu, Kenichi Nagamatsu, Akira Tajima, Katsuki Fujisawa, New Performance Index “Attractiveness Factor” for Evaluating Websites via Obtaining Transition of Users’ Interests, Data Science and Engineering, Springer, 2019, DOI : 10.1007/s41019-019-00112-1
    • Satoshi Imamura, Yuichiro Yasui, Koji Inoue, Takatsugu Ono, Hiroshi Sasaki, and Kat- suki Fujisawa, Evaluating Energy-Efficiency of DRAM Channel Interleaving Schemes for Multithreaded Programs, IEICE TRANSACTIONS on Information and Systems, 2018/06/08, DOI: 10.1587/transinf.2017EDP7296
    • Katsuki Fujisawa, Toyotaro Suzumura, Hitoshi Sato, Koji Ueno, Satoshi Imamura, Ryo Mizote, Akira Tanaka, Nozomi Hata, Toshio Endo, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post-peta-scale Supercomputers, Advanced Software Technologies for Post-Peta Scale Computing, Springer, 2018, DOI:https://doi.org/10.1007/978-981-13-1924-2_11
    • Akifumi Kira, Hidenao Iwane, Anai Hirokazu, Yutaka Kimura, Katsuki Fujisawa, An indirect search algorithm for disaster restoration with precedence and synchronization constraints, to appear in Pacific Journal of Mathematics for Industry, Springer, 2017.
    • Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, Satoshi Matsuoka, Efficient Breadth-First Search on Massively Parallel and Distributed Memory Machines, Data Science and Engineering, Springer, March 2017, Volume 2, Issue 1, pp 22-35, DOI: 10.1007/s41019-016-0024-y
    • Katsuki Fujisawa, Toshio Endo, and Yuichiro Yasui, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Super- computers, Gert-Martin Greuel, Thorsten Koch, Peter Paule, and Andrew Sommese (eds.), Proceedings of Mathematical Software, ICMS 2016, 5th International Confer- ence Berlin, Germany, July 11-14, 2016, Lecture Notes in Computer Science 9725, Springer, pp. 265-274, 2016, DOI 10.1007/978-3-319-42432-3 33
    • K. Kobayashi, R. Narisawa, Y. Yasui and K. Fujisawa, ``Experimental analysis of the evacuation plannning model using lexicographically quickest flow(in Japanese)'', Transactions of the Operations Research Society of Japan Vol. 59, pp. 86-105, 2016.
    • Katsuki Fujisawa, Toyotaro Suzumura, Hitoshi Sato, Koji Ueno, Yuichiro Yasui, Keita Iwabuchi, and Toshio Endo, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, Fujisawa, Katsuki, Shinano, Yuji, and Waki, Hayato (eds.), Proceedings of the Optimization in the Real World –Toward Solving Real-World Optimization Problems–, Series of Mathematics for Industry, Springer, pp. 1-13, 2015. DOI: 10.1007/978-4-431-55420-2 1
    • M. Nakata, M. Fukuda and K. Fujisawa, Variational Approach to Electronic Structure Calculations on Second-Order Reduced Density Matrices and the N-Representability Problem, H. Siedentop (eds.), Complex Quantum Systems - Analysis of Large Coulomb Systems, Institute of Mathematical Sciences, National University of Singapore, pp. 163-194, 2013.
    • J. Gotoh and K. Fujisawa, Convex optimization approaches to maximally predictable portfolio selection, Optimization: A Journal of Mathematical Programming and Oper- ations Research, 2012. DOI:10.1080/02331934.2012.741237
    • J. S. M. Anderson, M. Nakata, R. Igarashi, K. Fujisawa and M. Yamashita, The second-order reduced density matrix method and the two-dimensional Hubbard model, Computational and Theoretical Chemistry, 1003, pp 22-27, 2013.
    • M. Yamashita, K. Fujisawa, M. Fukuda, K. Nakata and M. Nakata, Parallel solver for semidefinite programming problem having sparse Schur complement matrix, the ACM Transactions on Mathematical Software, Volume 39, Number 12, 2012.
    • Y. Yasui, K. Fujisawa, K. Goto N. Kamiyama M. Takamatsu, NETAL: HIGH-PERFORMANCE IMPLEMENTATION OF NETWORK ANALYSIS LIBRARY CONSIDERING COMPUTER MEMORY HIERARCHY, Journal of the Operations Research Society of Japan, Vol. 54, No. 4, pp. 259-280, 2011.
    • M. Yamashita, K. Fujisawa, M. Fukuda, K. Kobayashi, K. Nakata, and M. Nakata, Latest Developments in the SDPA Family for Solving Large-Scale SDPs, M.F. Anjos and J.B. Lasserre (eds.), Handbook on Semidefinite, Conic and Polynomial Optimization, International Series in Operations Research & Management Science, Chapter 24, 2011.
    • Y. Yasui, K. Fujisawa, H. Sasajima and K. Goto, `` A Fast Implementation of the Dijkstra Method for the Large-scale Shortest Path Problem(In Japanese)'', Transactions of the Operations Research Society of Japan, Vol.54, 10-17, 2011.
    • M. Nakata, B. J. Braams, K. Fujisawa, M. Fukuda, J. K. Percus, M. Yamashita and Z. Zhao, Variational calculation of second-order reduced density matrices by strong N-representability conditions and an accurate semidefinite programming solver, The Journal of Chemical Physics, 128, 164113, 2008.
    • X. Bai, H. Wei, K. Fujisawa and Y. Wang, Semidefinite programming for optimal power flow problems, The International Journal of Electrical Power & Energy Systems, 30, pp 383-392, 2008.
    • K. Nakata, K. Fujisawa, M. Fukuda, M. Yamashita, M. Nakata and K. Kazuhiro, ``Optimization Software : SDPA(in Japanese), Vol.18, No.1, 2-14, 2008'', The Transactions of the Japan Society for Industrial and Applied Mathematics.
    • K. Fujisawa, K. Nakata, M. Yamashita and M. Fukuda, SDPA Project : Solving Large-scale Semidefinite Programs, Journal of the Operations Research Society of Japan, Vol.50, No.4, pp278-298, 2007.
    • M. Yamashita, K. Fujisawa and K. Nakata, Parallel Solver for Semidefinite Programming, International Journal of LOGISTICS and SCM Systems, Vol.2, No.1, 2007.
    • T. Gunji, S. Kim, K. Fujisawa and M. Kojima, PHoMpara - Parallel Implementation of the Polyhedral Homotopy Continuation Method for Polynomial Systems, Computing, Vol.77, pp387-411, 2006.
    • S. Furusaka, T. Kaneta, N. Katoh, K. Fujisawa and R. Mizuno, "Cost Planning System for Public Building Construction Projects (in Japanese)", AIJ Journal of Technology and Design, No.23, 437--442, 2006.6.
    • M. Yamashita, K. Fujisawa, M. Fukuda, M. Kojima and K. Nakata, Parallel Primal-Dual Interior-Point Methods for SemiDefinite Programs, Parallel Combinatorial Optimization, John Wiley & Sons, pp211-238, 2006.
    • K. Nakata, M. Yamashita, K. Fujisawa and M. Kojima, A Parallel Primal-Dual Interior-Point Method for Semidefinite Programs Using Positive Definite Matrix Completion, Journal of Parallel Computing,Vol.32, pp24-43 2006.
    • K. Fujisawa, M. Fukuda and K. Nakata, Preprocessing sparse semidefinite programs via matrix completion, Optimization Methods and Software, Vol 21, No 1, pp17-39, 2006.
    • K. Fujisawa, M. Kojima, A. Takeda and M. Yamashita, Solving Large Scale Optimization Problems via Grid and Cluster Computing, Journal of the Operations Research Society of Japan, Vol 47, No 4, pp265-274, 2004.
    • T. Gunji, S. Kim, M. Kojima, A. Takeda, K. Fujisawa and T. Mizutani, PHoM – a Polyhedral Homotopy Continuation Method, Computing, Vol 73, pp57-77, 2004.
    • M. Yamashita, K. Fujisawa and M. Kojima, M. Yamashita, K. Fujisawa and M. Kojima, SDPARA : SemiDefinite Programming Algorithm PARAllel Version, Journal of Parallel Computing, Vol 29/8, pp1053–1067, 2003
    • M. Yamashita, K. Fujisawa and M. Kojima, Implementation and Evaluation of SDPA 6.0 (SemiDefinite Programming Algorithm 6.0), Journal of Optimization Methods and Software, Vol 18(4), pp491–505, 2003.
    • Y. Miyataka, N. Katoh and K. Fujisawa,``Correlation Analysis between Photos of Internal Space and Subjective Impression using Two-Dimensional wavelet Transform(in Japanese)'', J. of Architecture, Plannning and Environmental Engineering, No. 568, 133-140, 2003.
    • K. Nakata, K. Fujisawa, M. Fukuda, M. Kojima and K. Murota, Exploit sparsity in semidefinite programming via matrix completion II: Implementation and numerical results, Mathematical Programming, Ser.B, Vol 95, pp303–327, 2003.
    • K. Ueda, S. Furusaka, K. Fujisawa, T. Muroya and T. Kaneta, "Construction Planning of Repetitive Work with Theory of Construction (in Japanese)", J. of Architecture, Planning and Environmental Engineering, ,No.557, 281--288, 2002.
    • Y. Wada, S. Furusaka, K. Fujisawa and T. Kaneta, "Optimization of Sub-package Problem in Building Construction Project -- Proposal of Sub-package Support System -- (in Japanese)", Transactions of the Japan Society for Industrial and Applied Mathematics, Vol.12, No.1, 9--28, 2002.
    • A. Takeda, M. Kojima and K. Fujisawa, Enumeration of all solutions of a combinatorial linear inequality system arising from the polyhedral homotopy continuation method, Journal of the Operations Research Society of Japan, Vol. 45, No. 1, pp64-82, 2002.
    • A. Takeda, K. Fujisawa, Y. Fukaya and M. Kojima, Parallel implementation of succes- sive convex relaxation methods for quadratic optimization problems, Journal of Global Optimization, Vol. 24, No. 2, pp237–260, 2002.
    • J. Noritake, S. Furusaka, K. Fujisawa and T. Kaneta, "Optimization System of Sub-package Problem in Building Construction Project using Mathematical Programming (in Japanese)", J. of Architecture, Planning and Environmental Engineering, No.550, 235--242, 2001.
    • N. Katsuyama, S. Furusaka, K. Fujisawa and T. Kaneta, " Study on Working Drawings and Shop Drawings Scheduling (in Japanese)", J. of Architecture, Planning and Environmental Engineering, No.548, 223--230, 2001.
    • M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda, K. Nakata and K. Fujisawa, Vari- ational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm, Journal of Chemical Physics, Vol.114, Issue 19, pp 8282-8292, 2001.
    • Y. Kanno, M. Ohsaki, K. Fujisawa, and N. Katoh, "Topology Optimization of Trusses for Specified Multiple Linear Buckling Load Factors by using Semidefinite Programming(in Japanese)", J. of Architecture, Struct. Constr. Eng., No. 541, 113--119, 2001.
    • S. Yamanaka, N. Katoh and K. Fujisawa,``Development of a Method for Detecting Vanishing Points of an Architectural Image and Reconstructing a 3D Architectural Model(in Japanese)'', J. of Architecture, Plannning and Environmental Engineering, No. 542, 269--277, 2001.
    • K. Fujisawa, M. Fukuda, M. Kojima and N. Nakata, Numerical evaluation of the SDPA (SemiDefinite Programming Algorithm), The High Performance Optimization, Kluwer Academic Publishers, pp 267-301, 1999.
    • M. Ohsaki, K. Fujisawa, N. Katoh and K. Kanno, Semi-definite programming for topology optimization of truss under multiple eigenvalue constraints, The Computer Methods in Applied Mechanics and Engineering, Vol. 180, pp 203-217, 1999.
    • K. Nakata, K. Fujisawa and M. Kojima, ``Using the Conjugate Gradient Method in Interior-Point Methods for Semidefinite Programs'' (in Japanese), The Proceedings of The Institute of Statistical Mathematics, Vol. 46, No. 2, 1998, 297--316.
    • M. Kubo and K. Fujisawa, The life span method - A new variant of local search, The Japan Journal of Industrial and Applied Mathematics, Vol. 15, No. 3, pp 363-393, 1998.
    • K. Fujisawa, M. Kojima and K. Nakata, Exploiting sparsity in primal-dual interior-point methods for semidefinite programming, Mathematical Programming, Vol. 79, pp 235-253, 1997.
    • K. Fujisawa, M. Kubo and S. Morito, ``Experimental Analyses of the Tabu Search for the Graph Partitioning Problem(in Japanese),'' The Institute of Electrical Engineers of Japan, Vol 114-C(4), 1994, 430--437.

    • (2) Refereed Papers for International Conference

    • Satoshi Nakamura, Nariaki Tateiwa, Koha Kinjo, Yasuhiko, Ikematsu, Masaya Yasuda and Katsuki Fujisawa, Solving the search-LWE problem by lattice reduction over projected bases, the 6th International Conference on Mathematics and Computing (ICMC 2020) to be held from March 18-20, 2020 at the Sikkim University, Gangtok, Sikkim, India, 2020.
    • Ren Huiqiao and Katsuki Fujisawa. “Circulars Arc Based Obstacle Avoiding Blending Trajectory plan”, the 5th International Conference on Control and Robotics Engineering (ICCRE 2020), in Osaka, Japan, 2020
    • Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, and Katsuki Fujisawa, Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System, The proceedings of the IEEE Big Data 2019 , 2019(Acceptance rate 19.27%), in Los Angeles, CA, USA, 2019, DOI:10.1109/BigData47090.2019.9005986
    • Nozomi Hata, Takashi Nakayama, Akira Tanaka, Takashi Wakamatsu, Akihiro Yoshida, Nariaki Tateiwa, Yuri Nishikawa, Jun Ozawa, and Katsuki Fujisawa. Mobility Optimization on Cyber Physical System via Multiple Object Tracking and Mathematical Programming, the Fifth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2018), to be held in conjunction with the 2018 IEEE International Conference on Big Data (IEEE BigData 2018), in Seattle, WA, USA, 2018
    • Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Akihiro Yoshida, Takashi Wakamatsu,Takashi Nakayama, Katsuki Fujisawa. Hybrid Vehicle Control and Optimization with a New Mathematical Method, The 5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, in Changchun, China, 2018
    • Akira Tanaka, Nozomi Hata, Nariaki Tateiwa, Katsuki Fujisawa. Practical Approach to Evacuation Planning Via Network Flow and Deep Learning, the Fourth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2017), to be held in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), in Boston, MA, USA, 2017
    • Yuta Kakibuka, Yuichiro Yasui, Takatsugu Ono, Katsuki Fujisawa, Koji Inoue, Performance evaluation of Graph500 considering CPU-DRAM power shifting, SC17 Regular, Electronic, and Educational Poster, International Conference for High Performance Computing, Networking, Storage and Analysis 17 (SC17), 2017
    • Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, and Satoshi Matsuoka, Efficient Breadth-First Search on Massively Parallel and Distributed Memory Machines, The proceedings of the IEEE BigData2016, 2016(Acceptance rate 19.39%).
    • Satoshi Imamura, Keitaro Oka, Yuichiro Yasui, Yuichi Inadomi, Katsuki Fujisawa, Toshio Endo, Koji Ueno, Keiichiro Fukazawa, Nozomi Hata, Yuta Kakibuka, Koji Inoue, and Takatsugu Ono, Evaluating the Impacts of Code-Level Performance Tunings on Power Efficiency, The proceedings of the IEEE BigData2016, 2016(Acceptance rate 19.39%).
    • Satoshi Imamura, Yuichiro Yasui, Koji Inoue, Takatsugu Ono, Hiroshi Sasaki and Katsuki Fujisawa, Power-Efficient Breadth-First Search with DRAM Row Buffer Locality-Aware Address Mapping, HPGDMP16: High Performance Graph Data Management and Processing Workshop. In conjunction with International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016), 2016, DOI: 10.1109/HPGDMP.2016.7
    • Y. Yasui and K. Fujisawa, Eng Lim Goh, John Baron, Atsushi Sugiura and Takashi Uchiyama, NUMA-aware scalable graph traversal on SGI UV systems, The proceedings of 1st High Performance Graph Processing workshop, in conjunction with The International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC16), pp 19-26, 2016, DOI: 10.1145/2915516.2915522
    • Y. Yasui and K. Fujisawa, Fast, scalable, and energy-efficient parallel breadth-first search, The Role and Importance of Mathematics in Innovation, Proceedings of the Forum of Mathematics for Industry 2015, pp 61-75, 2016.
    • Yuki Tsujita, Toshio Endo, Katsuki Fujisawa, The Scalable Petascale Data-Driven Approach for the Cholesky Factorization with multiple GPUs, First International Workshop on Extreme Scale Programming Models and Middleware. In conjunction with International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2015), pp 38-45, 2015, DOI: 10.1145/2832241.2832245
    • Y. Yasui and K. Fujisawa, Fast and scalable NUMA-based thread parallel breadth-first search, The 2015 International Conference on High Performance Computing & Simulation (HPCS 2015), pp 377-385, 2015. DOI: 10.1109/HPCSim.2015.7237065
    • K. Iwabuchi, H. Sato, Y. Yasui, K. Fujisawa, and S. Matsuoka, NVM-based Hybrid BFS with Memory Efficient Data Structure, The proceedings of the IEEE BigData2014, pp 529-538, 2014(Acceptance rate 18.6%). DOI: 10.1109/BigData.2014.7004270
    • Y. Yasui, K. Fujisawa and Y. Sato, Fast and Energy-efficient Breadth-first Search on a single NUMA system, Intentional Supercomputing Conference (ISC 14), pp 365-381, 2014. DOI: 10.1007/978-3-319-07518-1 23
    • K. Iwabuchi, H. Sato, R. Mizote, Y. Yasui, K. Fujisawa and S. Matsuoka, Hybrid BFS Approach Using Semi-External Memory, International Workshop on High Performance Data Intensive Computing (HPDIC2014) in Conjunction with IEEE IPDPS 2014, pp 1698-1707, 2014(Acceptance rate 46.7%). DOI: 10.1109/IPDPSW.2014.189
    • K. Fujisawa, T. Endo, Y. Yasui, H. Sato, N. Matsuzawa, S. Matsuoka and H. Waki, Peta-scale General Solver for Semidefinite Programming Problems with over Two Million Constraints, The 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2014), pp 1171-1180, 2014(Acceptance rate 21.1%). DOI: 10.1109/IPDPS.2014.121
    • Y. Yasui, K. Fujisawa and K. Goto, NUMA-optimized Parallel Breadth-first Search on Multicore Single-node System, The proceedings of the IEEE BigData2013, pp 394-402, 2013(Acceptance rate 17.4%). DOI: 10.1109/BigData.2013.6691600
    • K. Fujisawa, T. Endo, H. Sato, Y. Yasui, N. Matsuzawa, and H. Waki: Peta-scale General Solver for Semidefinite Programming Problems with over Two Million Constraints, SC13 Regular, Electronic, and Educational Poster, International Conference for High Performance Computing, Networking, Storage and Analysis 2013 (SC2013), 2013 (Acceptance rate 39.3%).
    • K. Iwabuchi, H. Sato, Y. Yasui, and K. Fujisawa: Performance Analysis of Hybrid BFS Approach Using Semi-External Memory, SC 2013 Regular, Electronic, and Educational Poster, International Conference for High Performance Computing, Networking, Storage and Analysis 2013 (SC2013), (Acceptance rate 39.3%).
    • K. Fujisawa, T. Endo, H. Sato, M. Yamashita, S. Matsuoka and M. Nakata, High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems, The proceedings of the 2012 ACM/IEEE conference on Supercomputing, SC ’12, 2012. DOI: DOI: 10.1109/SC.2012.67
    • T. Suzumura, K. Ueno, H. Sato, K. Fujisawa, S. Matsuoka, A Performance Characteristics of Graph500 on Large-Scale Distributed Environment, The proceedings of the 2011 IEEE International Symposium on Workload Characterization. pp 149-158, 2011. DOI: 10.1109/IISWC.2011.6114175
    • Y. Makoto and K. Fujisawa, Efficient Parallel Software for Large-Scale Semidefinite Programs, The proceedingsof the 2010 IEEE Multi-conference on Systems and Control, September 8-10, 2010, Yokohama, Japan, 2010.
    • T. Funasaka, M. Iwase, K. Fujisawa, S. Hatakeyama, Visualization of Stability of Dynamical Systems by 3D Graphics Supported by Cluster Computing, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2005. IEEE. 2005. DOI: 10.1109/IDAACS.2005.283052
    • K. Fujisawa, M. Kojima, A. Takeda and M. Yamashita, High Performance Grid and Cluster Computing for Some Optimization Problems, SAINT2004, pp612-615, Tokyo, Japan, 2004.
    • K. Fujisawa, Y. Hamuro, N. Katoh, T. Tokuyama and K. Yada, Approximation of Optimal two-dimensional association rules for categorical attributes using semidefinite programming, The Proceedings of the Second International Conference on Discovery Science, Tokyo, Japan, Springer, pp 148-159, 1999.

    • (3) Research Papers

    • Ryohei Hayashi, Kaoru Sawai, Nariaki Tateiwa, Akira Tanaka, Katsuki Fujisawa, A Study on Radio Propagation Prediction Model in Urban Environment by Using Deep Learning, 信学技報, vol. 119, no. 486, AP2019-201, pp. 23-28, March.2020.

    • (4) Doctoral Paper

    • K. Fujisawa, "The implementation and experimental analyses of primal-dual interior-point method for the semidefinite programming (in Japanese)," The Ph.D. thesis in Tokyo Institute of Technology, 1998.


    Invited Talk(2014−)

    • Katsuki Fujisawa, "Cyber-physical System and Industrial Applications on Large-scale Open Computing Infrastructure(Plenary talk)", SPPEXA final workshop, Dresden, Germany, 20th October, 2019.
    • Katsuki Fujisawa, Katsuki Fujisawa, Cyber-physical System and Industrial Applications on Large-scale Open Computing Infrastructure, AIST booth talk, SC19, Colorado Convention Center, Denver, USA, 19th November, 2019.
    • Katsuki Fujisawa, "Current and future projects for CPS applications with ABCI —AI Bridging Cloud Infrastructure—", The 4th ISM-ZIB-IMI MODAL Workshop on Mathematical Optimization and Data Analysis, The Institute of Statistical Mathematics, Tokyo, Japan, 25th – 30th March, 2019.
    • Kastuki Fujisawa, "Current & future plans with ABCI – AI Bridging Cloud Infrastructure", BIG DATA AND EXTREME-SCALE COMPUTING2, R-CCS, Riken, Kobe, Japan, 19th-21st February, 2019.
    • Katsuki Fujisawa, Opening Talk, The 3rd IMI-ISM-ZIB MODAL Workshop on Challenges in Real World Data Analytics and High-Performance Optimization, GRIPS, Tokyo, Japan, 26th September - October 1st, 2018.
    • Katsuki Fujisawa,RWBC-OIL's expectations, Fisrt RWBC-OIL Workshop, Tokyo Institute of Technokogy, 8th May, 2018.
    • Katsuki Fujisawa, Cyber-Physical System and Industrial Applications of Large-Scale Graph Analysis and Optimization Problem, 18th SIAM Conference on Parallel Processing for Scientific Computing, Tokyo, 7th - 10th, March, 2018.
    • Katsuki Fujisawa, Cyber-physical System and Industrial Applications of Large-Scale Graph Analysis and Optimization Problem, ARM HPC Workshop, Tokyo, 13th, December, 2017
    • Katsuki Fujisawa, Cyber-physical System and Industrial Applications of Large-Scale Graph Analysis and Optimization Problem, SC17 Regular, Electronic, and Educa- tional Poster, International Conference for High Performance Computing, Networking, Storage and Analysis 17 (SC17), Denver, USA, 16th November, 2017.
    • Katsuki Fujisawa, Cyber-physical System and Industrial Applications of Large-Scale Graph Analysis and Optimization Problem, JSST2017, The 36th JSST Annual Interna- tional Conference on Simulation Technology(Plenary Lecture), Tokyo Denki University, Tokyo, 27th October, 2017.
    • Katsuki Fujisawa, Cyber-physical System and Industrial Applications of Large-Scale Graph Analysis and Optimization Problem, The 2nd Workshop Mathematical Opti- mization and Data Analysis(Plenary Talk), ZIB, Berlin, Germany, 26th September, 2017.
    • Katsuki Fujisawa, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, ICSI 2017 and DMBD 2017 (Plenary Talk), Fukuoka, Japan, 28th July, 2017.
    • Katsuki Fujisawa, Advanced computing & optimization infrastructure for extremely large-scale graphs on post peta-scale supercomputers, ISM-ZIB-IMI Joint Workshop on Optimization and Data-intensive High Performance Computing, Institute of Statistical Mathematics, Tokyo, Japan, 19th January, 2017.
    • Katsuki Fujisawa, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, Semi-plenary Talk, ICCOPT2016, GRIPS, Tokyo, Japan, 10th, August, 2016.
    • Katsuki Fujisawa, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, ICMS2016, ZIB, Berlin, Ger- many, 12th July, 2016.
    • Katsuki Fujisawa, Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, ISC16, Big Data & HPC Convergence, Frankfurt, Germany, 20th June, 2016.
    • Katsuki Fujisawa, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, TITECH booth talk, SC15, Austin Convention Center, USA, 17th November, 2015.
    • Katsuki Fujisawa, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, HPCCON, ISM, Tokyo, Japan, 10th October, 2015.
    • Katsuki Fujisawa, How to win Graph500 – A Challenge to Graph500 Benchmark – , Summer School for Combinatorial Optimization, Co@work, ZIB, Berlin, Germany, 2nd October, 2015.
    • Katsuki Fujisawa, A Challenge to Graph500 Benchmark: Trillion-Scale Graph Processing on K Computer, iDB2015, Todaiji Temple Cultural Center, Nara, Japan, 5th August, 2015.
    • Katsuki Fujisawa, A Challenge to Graph500 Benchmark: Trillion-Scale Graph Processing on K Computer, ISC15 : HPC in Asia 02, Frankfurt Messe, Germany, 15th July, 2015,
    • Katsuki Fujisawa, Large-Scale Graph Analysis for Cyber Security on Post Peta-Scale Supercomputers, Kyushu Universuty Cybersecurity Center Opening Ceremony and Cybersecurity Symposium, Kyushu University, Fukuoka, Japan, 8th July, 2015.
    • Katsuki Fujisawa, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, 2014 ATIP Workshop: Japanese Research Toward Next-Generation Extreme Computing, SC14, New Orleans, 17th November, 2014.
    • Katsuki Fujisawa, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, IMI Workshop on Optimization in the Real World, Kyushu University, 14th October, 2014.
    • K. Fujisawa, Petascale General Solver for Semidefinite Programming Problems with over Two Million Constraints, : RTE-IBM Workshop Semi-Definite Programming for Optimal Power Flow Problem, Dublin, Ireland, Apr 23, 2014.
    • K. Fujisawa, Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers, The Japanese Extreme Big Data Projects Workshop, Hotel Monterey La Soeur Fukuoka, Fukuoka JAPAN, Feb 26, 2014.


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