Semidefinite programming for optimal power flow problems X Bai, H Wei, K Fujisawa, Y Wang International Journal of Electrical Power & Energy Systems 30 (6-7), 383-392, 2008 | 709 | 2008 |

Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm M Nakata, H Nakatsuji, M Ehara, M Fukuda, K Nakata, K Fujisawa The Journal of Chemical Physics 114 (19), 8282-8292, 2001 | 309 | 2001 |

Implementation and evaluation of SDPA 6.0 (semidefinite programming algorithm 6.0) M Yamashita, K Fujisawa, M Kojima Optimization Methods and Software 18 (4), 491-505, 2003 | 273 | 2003 |

Sdpa (semidefinite programming algorithm) user’s manual—version 6.2. 0 K Fujisawa, M Kojima, K Nakata, M Yamashita Department of Mathematical and Com-puting Sciences, Tokyo Institute of …, 2002 | 245 | 2002 |

Exploiting sparsity in primal-dual interior-point methods for semidefinite programming K Fujisawa, M Kojima, K Nakata Mathematical Programming 79, 235-253, 1997 | 237 | 1997 |

Exploiting sparsity in semidefinite programming via matrix completion II: Implementation and numerical results K Nakata, K Fujisawa, M Fukuda, M Kojima, K Murota Mathematical Programming 95, 303-327, 2003 | 236 | 2003 |

Semi-definite programming for topology optimization of trusses under multiple eigenvalue constraints M Ohsaki, K Fujisawa, N Katoh, Y Kanno Computer Methods in Applied Mechanics and Engineering 180 (1-2), 203-217, 1999 | 139 | 1999 |

A high-performance software package for semidefinite programs: SDPA 7 M Yamashita, K Fujisawa, K Nakata, M Nakata, M Fukuda, K Kobayashi, ... Tokyo, Japan, 2010 | 130 | 2010 |

Latest developments in the SDPA family for solving large-scale SDPs M Yamashita, K Fujisawa, M Fukuda, K Kobayashi, K Nakata, M Nakata Handbook on semidefinite, conic and polynomial optimization, 687-713, 2012 | 109 | 2012 |

PHoM–a polyhedral homotopy continuation method for polynomial systems T Gunji, S Kim, M Kojima, A Takeda, K Fujisawa, T Mizutani Computing 73, 57-77, 2004 | 106 | 2004 |

Variational calculation of second-order reduced density matrices by strong N-representability conditions and an accurate semidefinite programming solver M Nakata, BJ Braams, K Fujisawa, M Fukuda, JK Percus, M Yamashita, ... The Journal of chemical physics 128 (16), 2008 | 102 | 2008 |

SDPARA: Semidefinite programming algorithm parallel version M Yamashita, K Fujisawa, M Kojima Parallel Computing 29 (8), 1053-1067, 2003 | 100 | 2003 |

Numerical evaluation of SDPA (semidefinite programming algorithm) K Fujisawa, M Fukuda, M Kojima, K Nakata High performance optimization, 267-301, 2000 | 100 | 2000 |

Performance characteristics of Graph500 on large-scale distributed environment T Suzumura, K Ueno, H Sato, K Fujisawa, S Matsuoka 2011 IEEE International Symposium on Workload Characterization (IISWC), 149-158, 2011 | 88 | 2011 |

NUMA-optimized parallel breadth-first search on multicore single-node system Y Yasui, K Fujisawa, K Goto 2013 IEEE International Conference on Big Data, 394-402, 2013 | 65 | 2013 |

Sdpa-m (semidefinite programming algorithm in matlab) users manual: version 6.2. 0 K Fujisawa, Y Futakata, M Kojima, S Matsuyama, S Nakamura, K Nakata, ... Research Reports on Mathematical and Computing Sciences, Series B: Operation …, 2000 | 50 | 2000 |

SDPA PROJECT: SOLVING LARGE-SCALE SEMIDEFINITE PROGRAMS (< Special Issue> the 50th Anniversary of the Operations Research Society of Japan) K Fujisawa, K Nakata, M Yamashita, M Fukuda Journal of the Operations Research Society of Japan 50 (4), 278-298, 2007 | 49 | 2007 |

Enumeration of all solutions of a combinatorial linear inequality system arising from the polyhedral homotopy continuation method A Takeda, M Kojima, K Fujisawa Journal of the Operations Research Society of Japan 45 (1), 64-82, 2002 | 45 | 2002 |

A parallel primal–dual interior-point method for semidefinite programs using positive definite matrix completion K Nakata, M Yamashita, K Fujisawa, M Kojima Parallel Computing 32 (1), 24-43, 2006 | 42 | 2006 |

Efficient breadth-first search on massively parallel and distributed-memory machines K Ueno, T Suzumura, N Maruyama, K Fujisawa, S Matsuoka Data Science and Engineering 2, 22-35, 2017 | 40 | 2017 |