Design of a multicore sparse Cholesky factorization using DAGs JD Hogg, JK Reid, JA Scott SIAM Journal on Scientific Computing 32 (6), 3627, 2010 | 103* | 2010 |

A synchronization-free algorithm for parallel sparse triangular solves W Liu, A Li, J Hogg, IS Duff, B Vinter European Conference on Parallel Processing, 617-630, 2016 | 74 | 2016 |

HSL_MA97: a bit-compatible multifrontal code for sparse symmetric systems JD Hogg, JA Scott Science and Technology Facilities Council, 2011 | 47 | 2011 |

Fast synchronization‐free algorithms for parallel sparse triangular solves with multiple right‐hand sides W Liu, A Li, JD Hogg, IS Duff, B Vinter Concurrency and Computation: Practice and Experience 29 (21), e4244, 2017 | 39 | 2017 |

A structure-conveying modelling language for mathematical and stochastic programming M Colombo, A Grothey, J Hogg, K Woodsend, J Gondzio Mathematical Programming Computation 1 (4), 223-247, 2009 | 38 | 2009 |

Replicated Computational Results (RCR) Report for A Sparse Symmetric Indefinite Direct Solver for GPU Architectures ET Bavier ACM Transactions on Mathematical Software (TOMS) 42 (1), 2, 2016 | 26* | 2016 |

A sparse symmetric indefinite direct solver for GPU architectures JD Hogg, E Ovtchinnikov, JA Scott ACM Transactions on Mathematical Software (TOMS) 42 (1), 1-25, 2016 | 26 | 2016 |

A sparse symmetric indefinite direct solver for GPU architectures JD Hogg, E Ovtchinnikov, JA Scott ACM Transactions on Mathematical Software (TOMS) 42 (1), 1-25, 2016 | 26 | 2016 |

New parallel sparse direct solvers for multicore architectures J Hogg, J Scott Algorithms 6 (4), 702-725, 2013 | 26 | 2013 |

Pivoting strategies for tough sparse indefinite systems JD Hogg, JA Scott ACM Transactions on Mathematical Software (TOMS) 40 (1), 1-19, 2013 | 24 | 2013 |

The effects of scalings on the performance of a sparse symmetric indefinite solver JD Hogg, JA Scott Rutherford Appleton Laboratory Technical Reports, 2008 | 21 | 2008 |

A DAG-based parallel Cholesky factorization for multicore systems JD Hogg Rutherford Appleton Laboratory Technical Reports, 2008 | 20 | 2008 |

A fast and robust mixed-precision solver for the solution of sparse symmetric linear systems JD Hogg, JA Scott ACM Transactions on Mathematical Software (TOMS) 37 (2), 1-24, 2010 | 19 | 2010 |

A note on the solve phase of a multicore solver JD Hogg, JA Scott SFTC Rutherford Appleton Laboratory, Tech. Rep. RAL-TR-2010-007, 2010 | 14 | 2010 |

An indefinite sparse direct solver for large problems on multicore machines JD Hogg, JA Scott Technical Report RAL-TR-2010-011, Rutherford Appleton Laboratory, Chilton, 2010 | 14 | 2010 |

On the use of suboptimal matchings for scaling and ordering sparse symmetric matrices J Hogg, J Scott Numerical Linear Algebra with Applications 22 (4), 648-663, 2015 | 10 | 2015 |

A fast dense triangular solve in CUDA JD Hogg SIAM Journal on Scientific Computing 35 (3), C303-C322, 2013 | 10 | 2013 |

A modern analyse phase for sparse tree-based direct methods JD Hogg, JA Scott Science and Technology Facilities Council, 2010 | 9 | 2010 |

High performance Cholesky and symmetric indefinite factorizations with applications JD Hogg The University of Edinburgh, 2010 | 9 | 2010 |

Compressed threshold pivoting for sparse symmetric indefinite systems JD Hogg, JA Scott SIAM Journal on Matrix Analysis and Applications 35 (2), 783-817, 2014 | 8 | 2014 |