An Algorithm for the Detection and Integration of Highly Oscillatory Ordinary Differential Equations Using a Generalized Unified Modified Divided Difference Representation - Kyle A. Gallivan (1983)

Parallel Algorithms on the CEDAR System. - Michael W. Berry; Kyle A. Gallivan; William J. Harrod; William Jalby; Sy-Shin Lo; Ulrike Meier; Bernard Philippe; Ahmed H. Sameh (CONPAR, 1986)

Monte Carlo Neutron Transport on the Alliant FX/8. - Virendrakumar C. Bhavsar; T. Tassou; Esam M. A. Hussein; Kyle A. Gallivan (ICPP, 1987)

On the problem of optimizing data transfers for complex memory systems. - Kyle A. Gallivan; William Jalby; Dennis Gannon (ICS, 1988)

Strategies for Cache and Local Memory Management by Global Program Transformation. - Dennis Gannon; William Jalby; Kyle A. Gallivan (J. Parallel Distributed Comput., 1988)

Performance prediction of loop constructs on multiprocessor hierarchical-memory systems. - Kyle A. Gallivan; William Jalby; Allen D. Malony; Harry A. G. Wijshoff (ICS, 1989)

A Large-Grain Parallel Sparse System Solver. - Kyle A. Gallivan; Bret A. Marsolf; Harry A. G. Wijshoff (PP, 1989)

Behavioral Characterization of Multiprocessor Memory Systems: A Case Study. - Kyle A. Gallivan; Dennis Gannon; William Jalby; Allen D. Malony; Harry A. G. Wijshoff (SIGMETRICS, 1989)

Parallel Circuit Simulation Using Hierarchical Relaxation. - Gih-Guang Hung; Yen-Cheng Wen; Kyle A. Gallivan; Resve A. Saleh (DAC, 1990)

Solving general sparse linear systems using conjugate gradient-type methods. - Kyle A. Gallivan; Ahmed H. Sameh; Zahari Zlatev (ICS, 1990)

Parallel Algorithms for Dense Linear Algebra Computations. - Kyle A. Gallivan; Robert J. Plemmons; Ahmed H. Sameh (SIAM Rev., 1990)

Experimentally Characterizing the Behavior of Multiprocessor Memory Systems. A Case Study. - Kyle A. Gallivan; Dennis Gannon; William Jalby; Allen D. Malony; Harry A. G. Wijshoff (IEEE Trans. Software Eng., 1990)

Parallel Event-Driven Waveform Relaxation. - Yen-Cheng Wen; Kyle A. Gallivan; Resve A. Saleh (ICCD, 1991)

Preliminary Performance Analysis of the Cedar Multiprocessor Memory System. - Kyle A. Gallivan; William Jalby; Stephen W. Turner; Alexander V. Veidenbaum; Harry A. G. Wijshoff (ICPP (1), 1991)

Parallel Ocean Circulation Modeling on Cedar. - Luiz De Rose; Kyle A. Gallivan; Efstratios Gallopoulos; Antonio Navarra (PP, 1991)

Performance Prediction for Parallel Numerical Algorithms. - Kyle A. Gallivan; William Jalby; Allen D. Malony; Harry A. G. Wijshoff (Int. J. High Speed Comput., 1991)

Experiments with an ocean circulation model on CEDAR. - Luiz De Rose; Kyle A. Gallivan; Efstratios Gallopoulos (ICS, 1992)

The Cedar System and an Initial Performance Study. - David J. Kuck; Edward S. Davidson; Duncan H. Lawrie; Ahmed H. Sameh; Chuan-Qi Zhu; Alexander V. Veidenbaum; Jeff Konicek; Pen-Chung Yew; Kyle A. Gallivan; William Jalby; Harry A. G. Wijshoff; Randall Bramley; et al. (ISCA, 1993)

Improving the performance of parallel relaxation-based circuit simulators. - Gih-Guang Hung; Yen-Cheng Wen; Kyle A. Gallivan; Resve A. Saleh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1993)

On Solving Block Toeplitz Systems Using a Block Schur Algorithm. - Kyle A. Gallivan; Srikanth Thirumalai; Paul Van Dooren (ICPP (3), 1994)

The parallel solution of nonsymmetric sparse linear systems using the H* reordering and an associated factorization. - Kyle A. Gallivan; Bret A. Marsolf; Harry A. G. Wijshoff (International Conference on Supercomputing, 1994)

Improving Parallel Circuit Simulation Using High-Level Waveforms. - Yen-Cheng Wen; Kyle A. Gallivan; Resve A. Saleh (ISCAS, 1995)

FALCON: A MATLAB Interactive Restructuring Compiler. - Luiz De Rose; Kyle A. Gallivan; Efstratios Gallopoulos; Bret A. Marsolf; David A. Padua (LCPC, 1995)

The Synergetic Effect of Compiler, Architecture, and Manual Optimizations on the Performance of CFD On Multiprocessors. - Masayuki Kuba; Constantine D. Polychronopoulos; Kyle A. Gallivan (SC, 1995)

Locally Optimized Reordering Algorithm and its Application to a Parallel Sparse Linear System Solver. - Kyle A. Gallivan; Per Christian Hansen; Tzvetan Ostromsky; Zahari Zlatev (Computing, 1995)

3-D Land Avoidance and Load Balancing in Regional Ocean Simulation. - Luiz De Rose; Kyle A. Gallivan; Efstratios Gallopoulos (ICPP, Vol. 2, 1996)

A rational Lanczos algorithm for model reduction. - Kyle A. Gallivan; G. Grimme; Paul Van Dooren (Numer. Algorithms, 1996)

Solving Large Nonsymmetric Sparse Linear Systems Using MCSPARSE. - Kyle A. Gallivan; Bret A. Marsolf; Harry A. G. Wijshoff (Parallel Comput., 1996)

The Generation of Optimized Codes Using Nonzero Structure Analysis. - Bret A. Marsolf; Aart J. C. Bik; Kyle A. Gallivan; Harry A. G. Wijshoff (ISHPC, 1997)

CIMGS: An Incomplete Orthogonal FactorizationPreconditioner. - Xiaoge Wang; Kyle A. Gallivan; Randall Bramley (SIAM J. Sci. Comput., 1997)

Retrospective: The Cedar System. - Alexander V. Veidenbaum; Pen-Chung Yew; David J. Kuck; Constantine D. Polychronopoulos; David A. Padua; Edward S. Davidson; Kyle A. Gallivan (25 Years ISCA: Retrospectives and Reprints, 1998)

Affine projection methods in fault tolerant adaptive filtering. - Robert A. Soni; Kyle A. Gallivan; W. Kenneth Jenkins (ICASSP, 1999)

Rapid convergence in fault tolerant adaptive algorithms. - Robert A. Soni; Kyle A. Gallivan; W. Kenneth Jenkins (ISCAS (3), 1999)

The Utilization of Matrix Structure to Generate Optimized Code from MATLAB Programs. - Bret A. Marsolf; Kyle A. Gallivan; Harry A. G. Wijshoff (Int. J. Parallel Program., 1999)

Rational approximations of pre-filtered transfer functions via the Lanczos algorithm. - Kyle A. Gallivan; Paul Van Dooren (Numer. Algorithms, 1999)

Riccati equation-based stabilization of large scale dynamical systems. - X. Rao; Kyle A. Gallivan; Paul Van Dooren (CDC, 2000)

Convergence analysis of a Riccati-based stabilization method. - X. Rao; Kyle A. Gallivan; Paul Van Dooren (ECC, 2001)

Cache Models for Iterative Compilation. - Peter M. W. Knijnenburg; Toru Kisuki; Kyle A. Gallivan (Euro-Par, 2001)

The gSOAP Toolkit for Web Services and Peer-to-Peer Computing Networks. - Robert van Engelen; Kyle A. Gallivan (CCGRID, 2002)

A Case Study for Automatic Code Generation on a Coupled Ocean-Atmosphere Model. - Paul van der Mark; Robert van Engelen; Kyle A. Gallivan; W. Dewar (International Conference on Computational Science (1), 2002)

VISTA: a system for interactive code improvement. - Wankang Zhao; Baosheng Cai; David B. Whalley; Mark W. Bailey; Robert van Engelen; Xin Yuan 001; Jason Hiser; Jack W. Davidson; Kyle A. Gallivan; Douglas L. Jones (LCTES-SCOPES, 2002)

Comparison of Ten Methods for the Solution of Large and Sparse Linear Algebraic Systems. - Kyle A. Gallivan; Ahmed H. Sameh; Zahari Zlatev (Numerical Methods and Application, 2002)

Finding effective optimization phase sequences. - Prasad A. Kulkarni; Wankang Zhao; Hwashin Moon; Kyunghwan Cho; David B. Whalley; Jack W. Davidson; Mark W. Bailey; Yunheung Paek; Kyle A. Gallivan (LCTES, 2003)

Recursive Calculation of Dominant Singular Subspaces. - Younes Chahlaoui; Kyle A. Gallivan; Paul Van Dooren (SIAM J. Matrix Anal. Appl., 2003)

Model Reduction of Large-Scale Dynamical Systems. - Athanasios C. Antoulas; Danny C. Sorensen; Kyle A. Gallivan; Paul Van Dooren; Ananth Grama; Christoph Hoffmann; Ahmed H. Sameh (International Conference on Computational Science, 2004)

A unified framework for nonlinear dependence testing and symbolic analysis. - Robert A. van Engelen; Johnnie Birch; Yixin Shou; Burt Walsh; Kyle A. Gallivan (ICS, 2004)

The effect of cache models on iterative compilation for combined tiling and unrolling. - Peter M. W. Knijnenburg; Toru Kisuki; Kyle A. Gallivan; Michael F. P. O'Boyle (Concurr. Comput. Pract. Exp., 2004)

Optimal Linear Representations of Images for Object Recognition. - Xiuwen Liu; Anuj Srivastava; Kyle A. Gallivan (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Model Reduction of MIMO Systems via Tangential Interpolation. - Kyle A. Gallivan; Antoine Vandendorpe; Paul Van Dooren (SIAM J. Matrix Anal. Appl., 2004)

Low-complexity data reusing methods in adaptive filtering. - Robert A. Soni; Kyle A. Gallivan; W. Kenneth Jenkins (IEEE Trans. Signal Process., 2004)

Adaptive Model Trust Region Methods for Generalized Eigenvalue Problems. - Pierre-Antoine Absil; Christopher G. Baker; Kyle A. Gallivan; Ahmed H. Sameh (International Conference on Computational Science (1), 2005)

Toward efficient flow-sensitive induction variable analysis and dependence testing for loop optimization. - Yixin Shou; Robert A. van Engelen; Johnnie Birch; Kyle A. Gallivan (ACM Southeast Regional Conference, 2006)

An empirical evaluation of chains of recurrences for array dependence testing. - Johnnie Birch; Robert A. van Engelen; Kyle A. Gallivan; Yixin Shou (PACT, 2006)

Joint Diagonalization on the Oblique Manifold for Independent Component Analysis. - Pierre-Antoine Absil; Kyle A. Gallivan (ICASSP (5), 2006)

On the Use of Compilers in DSP Laboratory Instruction. - Matthew D. Kleffner; Douglas L. Jones; Jason Hiser; Prasad A. Kulkarni; Julie Parent; Stephen Hines; David B. Whalley; Jack W. Davidson; Kyle A. Gallivan (ICASSP (2), 2006)

An Implicit Riemannian Trust-Region Method for the Symmetric Generalized Eigenproblem. - Christopher G. Baker; Pierre-Antoine Absil; Kyle A. Gallivan (International Conference on Computational Science (1), 2006)

Parametric timing estimation with Newton-Gregory formulae. - Robert A. van Engelen; Kyle A. Gallivan; Burt Walsh (Concurr. Comput. Pract. Exp., 2006)

VISTA: VPO interactive system for tuning applications. - Prasad A. Kulkarni; Wankang Zhao; Stephen Hines; David B. Whalley; Xin Yuan 001; Robert van Engelen; Kyle A. Gallivan; Jason Hiser; Jack W. Davidson; Baosheng Cai; Mark W. Bailey; Hwashin Moon; et al. (ACM Trans. Embed. Comput. Syst., 2006)

Mining web access patterns with first-occurrence linked WAP-trees. - Peiyi Tang; Markus P. Turkia; Kyle A. Gallivan (SEDE, 2007)

Trust-Region Methods on Riemannian Manifolds. - Pierre-Antoine Absil; Christopher G. Baker; Kyle A. Gallivan (Found. Comput. Math., 2007)

H2-optimal model reduction of MIMO systems. - Paul Van Dooren; Kyle A. Gallivan; Pierre-Antoine Absil (Appl. Math. Lett., 2008)

Two-stage optimal component analysis. - Yiming Wu; Xiuwen Liu; Washington Mio; Kyle A. Gallivan (Comput. Vis. Image Underst., 2008)

Elastic Morphing of 2D and 3D Objects on a Shape Manifold. - Chafik Samir; Paul Van Dooren; D. Laurent; Kyle A. Gallivan; Pierre-Antoine Absil (ICIAR, 2009)

Accelerated Line-search and Trust-region Methods. - Pierre-Antoine Absil; Kyle A. Gallivan (SIAM J. Numer. Anal., 2009)

An efficient particle filtering technique on the Grassmann manifold. - Quentin Rentmeesters; Pierre-Antoine Absil; Paul Van Dooren; Kyle A. Gallivan; Anuj Srivastava (ICASSP, 2010)

H2-Optimal Model Reduction with Higher-Order Poles. - Paul Van Dooren; Kyle A. Gallivan; Pierre-Antoine Absil (SIAM J. Matrix Anal. Appl., 2010)

Parallel Numerical Computing from Illiac IV to Exascale - The Contributions of Ahmed H. Sameh. - Kyle A. Gallivan; Efstratios Gallopoulos; Ananth Grama; Bernard Philippe; Eric Polizzi; Yousef Saad; Faisal Saied; Danny C. Sorensen (High-Performance Scientific Computing, 2012)

A Riemannian Dennis-Moré Condition. - Kyle A. Gallivan; Chunhong Qi; Pierre-Antoine Absil (High-Performance Scientific Computing, 2012)

Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast. - Suviseshamuthu Easter Selvan; Umberto Amato; Kyle A. Gallivan; Chunhong Qi; Maria Francesca Carfora; Michele Larobina; Bruno Alfano (IEEE Trans. Neural Networks Learn. Syst., 2012)

A Riemannian BFGS Method for Nonconvex Optimization Problems. - Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (ENUMATH, 2015)

Rank-constrained optimization: a Riemannian manifold approach. - Guifang Zhou; Wen Huang 001; Kyle A. Gallivan; Paul Van Dooren; Pierre-Antoine Absil (ESANN, 2015)

A Riemannian approach for computing geodesies in elastic shape analysis. - Yaqing You; Wen Huang 001; Kyle A. Gallivan; Pierre-Antoine Absil (GlobalSIP, 2015)

A Riemannian symmetric rank-one trust-region method. - Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (Math. Program., 2015)

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization. - Wen Huang 001; Kyle A. Gallivan; Pierre-Antoine Absil (SIAM J. Optim., 2015)

Solving PhaseLift by Low-rank Riemannian Optimization Methods. - Wen Huang 001; Kyle A. Gallivan; Xiangxiong Zhang (ICCS, 2016)

A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean. - Xinru Yuan; Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (ICCS, 2016)

A Riemannian rank-adaptive method for low-rank optimization. - Guifang Zhou; Wen Huang 001; Kyle A. Gallivan; Paul Van Dooren; Pierre-Antoine Absil (Neurocomputing, 2016)

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis. - Wen Huang 001; Kyle A. Gallivan; Anuj Srivastava; Pierre-Antoine Absil (J. Math. Imaging Vis., 2016)

Visualizing phylogenetic tree landscapes. - James C. Wilgenbusch; Wen Huang 001; Kyle A. Gallivan (BMC Bioinform., 2017)

Intrinsic representation of tangent vectors and vector transports on matrix manifolds. - Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (Numerische Mathematik, 2017)

Solving PhaseLift by Low-Rank Riemannian Optimization Methods for Complex Semidefinite Constraints. - Wen Huang 001; Kyle A. Gallivan; Xiangxiong Zhang (SIAM J. Sci. Comput., 2017)

A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction. - Emilie Renard; Kyle A. Gallivan; Pierre-Antoine Absil (LVA/ICA, 2018)

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems. - Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (SIAM J. Optim., 2018)

ROPTLIB: An Object-Oriented C++ Library for Optimization on Riemannian Manifolds. - Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan; Paul Hand (ACM Trans. Math. Softw., 2018)

Preconditioned conjugate gradient algorithms for graph regularized matrix completion. - Shuyu Dong; Pierre-Antoine Absil; Kyle A. Gallivan (ESANN, 2019)

Minimax center to extract a common subspace from multiple datasets. - Emilie Renard; Pierre-Antoine Absil; Kyle A. Gallivan (ESANN, 2019)

Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces. - Zhe Su; Martin Bauer 004; Eric Klassen; Kyle A. Gallivan (CVPR Workshops, 2020)

Community Detection by a Riemannian Projected Proximal Gradient Method. - Meng Wei; Wen Huang 001; Kyle A. Gallivan; Paul Van Dooren (CoRR, 2020)

Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. - Xinru Yuan; Wen Huang 001; Pierre-Antoine Absil; Kyle A. Gallivan (Numer. Linear Algebra Appl., 2020)

Investigating the Genomic Distribution of Phylogenetic Signal with CloudForest. - Reid Wagner; Benjamin S. Toups; Zhifeng Deng; Kyle A. Gallivan; Jeremy M. Brown; James C. Wilgenbusch (PEARC, 2021)

A Drift Homotopy Implicit Particle Filter Method for Nonlinear Filtering problems. - Xin Li; Feng Bao; Kyle A. Gallivan (CoRR, 2021)

Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem. - Melissa Marchand; Kyle A. Gallivan; Wen Huang 001; Paul Van Dooren (SIAM J. Math. Data Sci., 2021)

An apocalypse-free first-order low-rank optimization algorithm. - Guillaume Olikier; Kyle A. Gallivan; Pierre-Antoine Absil (CoRR, 2022)

Comparison of an Apocalypse-Free and an Apocalypse-Prone First-Order Low-Rank Optimization Algorithm. - Guillaume Olikier; Kyle A. Gallivan; Pierre-Antoine Absil (CoRR, 2022)

On the analysis of optimization with fixed-rank matrices: a quotient geometric view. - Shuyu Dong; Bin Gao 007; Wen Huang 001; Kyle A. Gallivan (CoRR, 2022)

A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy. - Wen Huang 001; Kyle A. Gallivan (J. Sci. Comput., 2022)

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. - Yijia Zhou; Kyle A. Gallivan; Adrian Barbu (CoRR, 2023)

First-order optimization on stratified sets. - Guillaume Olikier; Kyle A. Gallivan; Pierre-Antoine Absil (CoRR, 2023)

The eigenvalue decomposition of normal matrices by the decomposition of the skew-symmetric part with applications to orthogonal matrices. - Simon Mataigne; Kyle A. Gallivan (CoRR, 2024)

A Riemannian Optimization Approach to Clustering Problems. - Wen Huang 001; Meng Wei; Kyle A. Gallivan; Paul Van Dooren (J. Sci. Comput., 2025)

The Exponential of Skew-Symmetric Matrices: A Nearby Inverse and Efficient Computation of Derivatives. - Zhifeng Deng; Pierre-Antoine Absil; Kyle A. Gallivan; Wen Huang 001 (CoRR, 2025)