Kyle A. Gallivan

发表

The Generation of Optimized Codes Using Nonzero Structure Analysis

Aart J. C. Bik, Harry A. G. Wijshoff, Bret A. Marsolf, 1997, ISHPC.

Comparison of Ten Methods for the Solution of Large and Sparse Linear Algebraic Systems

Zahari Zlatev, Ahmed H. Sameh, Kyle A. Gallivan, 2002, Numerical Methods and Application.

Trust-Region Methods on Riemannian Manifolds

Pierre-Antoine Absil, Kyle A. Gallivan, C. G. Baker, 2007, Found. Comput. Math..

A Riemannian BFGS Method for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, ENUMATH.

Mining web access patterns with first-occurrence linked WAP-trees

Peiyi Tang, Kyle A. Gallivan, Markus P. Turkia, 2007, SEDE.

The gSOAP Toolkit for Web Services and Peer-to-Peer Computing Networks

Kyle A. Gallivan, Robert A. van Engelen, K. Gallivan, 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).

Parallel circuit simulation on supercomputers

Ibrahim N. Hajj, Resve Saleh, Kyle A. Gallivan, 1989 .

A Case Study for Automatic Code Generation on a Coupled Ocean-Atmosphere Model

Kyle A. Gallivan, Paul van der Mark, Robert A. van Engelen, 2002, International Conference on Computational Science.

Strategies for cache and local memory management by global program transformation

Dennis Gannon, William Jalby, Kyle A. Gallivan, 1988, J. Parallel Distributed Comput..

Low-complexity data reusing methods in adaptive filtering

W. Kenneth Jenkins, Kyle A. Gallivan, Robert A. Soni, 2004, IEEE Transactions on Signal Processing.

A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction

Pierre-Antoine Absil, Kyle A. Gallivan, Emilie Renard, 2018, LVA/ICA.

Experiments with an ocean circulation model on CEDAR

Efstratios Gallopoulos, Kyle A. Gallivan, Luiz De Rose, 1992, ICS '92.

On solving block Toeplitz matrices using a block Schur algorithm

Paul Van Dooren, Kyle A. Gallivan, S. Thirumalai, 1994 .

Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast

Bruno Alfano, Michele Larobina, Umberto Amato, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Toward efficient flow-sensitive induction variable analysis and dependence testing for loop optimization

Kyle A. Gallivan, Robert A. van Engelen, Yixin Shou, 2006, ACM-SE 44.

Proceedings of the 26th ACM international conference on Supercomputing

Gianfranco Bilardi, Utpal Banerjee, Manolis Katevenis, 2012, ICS 2012.

Parallel circuit simulation using hierarchical relaxation

Resve A. Saleh, Kyle A. Gallivan, Yen-Cheng Wen, 1991, DAC '90.

Two-Stage Optimal Component Analysis

Xiuwen Liu, Yiming Wu, Kyle A. Gallivan, 2006, 2006 International Conference on Image Processing.

Matrix computations on shared-memory multiprocessors

Ahmed Sameh, Kyle A. Gallivan, A. Sameh, 1988 .

The interactive restructuring of MATLAB programs using the FALCON environment

Efstratios Gallopoulos, Bret A. Marsolf, Kyle A. Gallivan, 1997, Proceedings Innovative Architecture for Future Generation High-Performance Processors and Systems.

Finding effective optimization phase sequences

Yunheung Paek, David B. Whalley, Jack W. Davidson, 2003, LCTES '03.

FALCON: A MATLAB Interactive Restructuring Compiler

David A. Padua, Efstratios Gallopoulos, Bret A. Marsolf, 1995, LCPC.

The Cedar System And An Initial Performance Study

David A. Padua, Rudolf Eigenmann, Alexander V. Veidenbaum, 1993, Proceedings of the 20th Annual International Symposium on Computer Architecture.

A Riemannian Dennis-Moré Condition

Pierre-Antoine Absil, Kyle A. Gallivan, Chunhong Qi, 2012, High-Performance Scientific Computing.

Accelerated Line-search and Trust-region Methods

Pierre-Antoine Absil, Kyle A. Gallivan, P. Absil, 2009, SIAM J. Numer. Anal..

The effect of cache models on iterative compilation for combined tiling and unrolling

Michael F. P. O'Boyle, Peter M. W. Knijnenburg, Kyle A. Gallivan, 2004, Concurr. Comput. Pract. Exp..

Adaptive Model Trust Region Methods for Generalized Eigenvalue Problems

Pierre-Antoine Absil, Ahmed H. Sameh, Kyle A. Gallivan, 2005, International Conference on Computational Science.

Recursive Calculation of Dominant Singular Subspaces

Paul Van Dooren, Kyle A. Gallivan, Y. Chahlaoui, 2003, SIAM J. Matrix Anal. Appl..

The Utilization of Matrix Structure to Generate Optimized Code from MATLAB Programs

Harry A. G. Wijshoff, Bret A. Marsolf, Kyle A. Gallivan, 2004, International Journal of Parallel Programming.

On the Use of Compilers in DSP Laboratory Instruction

Douglas L. Jones, Stephen Roderick Hines, David B. Whalley, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Minimax center to extract a common subspace from multiple datasets

Pierre-Antoine Absil, Kyle A. Gallivan, Emilie Renard, 2019, ESANN.

Parallel Numerical Computing from Illiac IV to Exascale - The Contributions of Ahmed H. Sameh

Ananth Grama, Yousef Saad, Efstratios Gallopoulos, 2012, High-Performance Scientific Computing.

A Riemannian rank-adaptive method for low-rank optimization

Paul Van Dooren, Wen Huang, Pierre-Antoine Absil, 2016, Neurocomputing.

The parallel solution of nonsymmetric sparse linear systems using the H* reordering and an associated factorization

Harry A. G. Wijshoff, Bret A. Marsolf, Kyle A. Gallivan, 1994, ICS '94.

CIMGS: An Incomplete Orthogonal FactorizationPreconditioner

Xiaoge Wang, Kyle A. Gallivan, Randall Bramley, 1997, SIAM J. Sci. Comput..

A locally optimized reordering algorithm and its application to a parallel sparse linear system solver

Zahari Zlatev, Per Christian Hansen, Tzvetan Ostromsky, 1995, Computing.

An empirical evaluation of chains of recurrences for array dependence testing

Kyle A. Gallivan, Robert A. van Engelen, Yixin Shou, 2006, 2006 International Conference on Parallel Architectures and Compilation Techniques (PACT).

Decoupled access DRAM architecture

Alexander V. Veidenbaum, Kyle A. Gallivan, 1997, Proceedings Innovative Architecture for Future Generation High-Performance Processors and Systems.

Efficiency Issues in Parallel Coarsening Schemes

Ulrike Meier Yang, Kyle A. Gallivan, 2003 .

H2-optimal model reduction of MIMO systems

Paul Van Dooren, Pierre-Antoine Absil, Kyle A. Gallivan, 2008, Appl. Math. Lett..

Preliminary Performance Analysis of the Cedar Multiprocessor Memory System

Alexander V. Veidenbaum, William Jalby, Harry A. G. Wijshoff, 1991, ICPP.

Parallel circuit simulation based on nonlinear relaxation methods

Resve Saleh, Kyle A. Gallivan, Gih-Guang Hung, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

Proceedings of the 22nd Annual International Conference on Supercomputing, ICS 2008, Island of Kos, Greece, June 7-12, 2008

Avi Mendelson, Utpal Banerjee, Kyle A. Gallivan, 2008, ICS.

The effect of cache models on iterative compilation for combined tiling and unrolling: Research Articles

Michael F. P. O'Boyle, Peter M. W. Knijnenburg, Kyle A. Gallivan, 2004 .

High-Performance Scientific Computing

Ananth Grama, Bernard Philippe, Michael W. Berry, 2012, Springer London.

Optimal linear representations of images for object recognition

Anuj Srivastava, Xiuwen Liu, Kyle A. Gallivan, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Parallel Algorithms on the CEDAR System

William Jalby, Michael W. Berry, Ahmed H. Sameh, 1986, CONPAR.

A Riemannian symmetric rank-one trust-region method

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2014, Mathematical Programming.

The Synergetic Effect of Compiler, Architecture, and Manual Optimizations on the Performance of CFD On Multiprocessors

Constantine D. Polychronopoulos, Kyle A. Gallivan, Masayuki Kuba, 1995, SC.

VISTA: a system for interactive code improvement

Douglas L. Jones, David B. Whalley, Jack W. Davidson, 2002, LCTES/SCOPES '02.

Performance prediction of loop constructs on multiprocessor hierarchical-memory systems

Allen D. Malony, William Jalby, Harry A. G. Wijshoff, 1989, ICS '89.

Model Reduction of Large-Scale Systems Rational Krylov Versus Balancing Techniques

Paul Van Dooren, Kyle A. Gallivan, E. Grimme, 1999 .

Improving the performance of parallel relaxation-based circuit simulators

Resve A. Saleh, Kyle A. Gallivan, Yen-Cheng Wen, 1993, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

Solving general sparse linear systems using conjugate gradient-type methods

Zahari Zlatev, Ahmed H. Sameh, Kyle A. Gallivan, 1990, ICS '90.

3-D land avoidance and load balancing in regional ocean simulation

Efstratios Gallopoulos, Kyle A. Gallivan, Luiz De Rose, 1996, Proceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing.

Performance Prediction for Parallel Numerical Algorithms

Allen D. Malony, William Jalby, Harry A. G. Wijshoff, 1991, Int. J. High Speed Comput..

Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem pdf

Paul Van Dooren, Wen Huang, Kyle A. Gallivan, 2020, SIAM J. Math. Data Sci..

Riemannian BFGS Algorithm with Applications

Pierre-Antoine Absil, Kyle A. Gallivan, Chunhong Qi, 2010 .

Preconditioned conjugate gradient algorithms for graph regularized matrix completion

Kyle A. Gallivan, P.-A. Absil, Shuyu Dong, 2019, ESANN.

Proceedings of the 17th Annual International Conference on Supercomputing, ICS 2003, San Francisco, CA, USA, June 23-26, 2003

Utpal Banerjee, Kyle A. Gallivan, Antonio Mosquera Gonzalez, 2003, ICS.

Elastic Morphing of 2D and 3D Objects on a Shape Manifold

Paul Van Dooren, Pierre-Antoine Absil, Chafik Samir, 2009, ICIAR.

Model Reduction of MIMO Systems via Tangential Interpolation

Paul Van Dooren, Kyle A. Gallivan, Antoine Vandendorpe, 2005, SIAM J. Matrix Anal. Appl..

Monte Carlo Neutron Transport on the Alliant FX/8

Virendrakumar C. Bhavsar, Kyle A. Gallivan, Esam M. A. Hussein, 1987, ICPP.

Solving Large Nonsymmetric Sparse Linear Systems Using MCSPARSE

Harry A. G. Wijshoff, Bret A. Marsolf, Kyle A. Gallivan, 1996, Parallel Comput..

Affine projection methods in fault tolerant adaptive filtering

W. Kenneth Jenkins, Kyle A. Gallivan, Robert A. Soni, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Parallel Ocean Circulation Modeling on Cedar

Efstratios Gallopoulos, Kyle A. Gallivan, Luiz De Rose, 1991, PPSC.

Model reduction via tangential interpolation

Paul Van Dooren, Kyle A. Gallivan, Antoine Vandendorpe, 2002 .

Design Issues in a Matlab-Based Environment for Numerical Program Development

Efstratios Gallopoulos, Bret A. Marsolf, Kyle A. Gallivan, 2000 .

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2018, SIAM J. Optim..

Community Detection by a Riemannian Projected Proximal Gradient Method pdf

Paul Van Dooren, Wen Huang, Kyle A. Gallivan, 2020, IFAC-PapersOnLine.

Retrospective: the Cedar system

David A. Padua, Alexander V. Veidenbaum, Constantine D. Polychronopoulos, 1998, ISCA '98.

Visualizing phylogenetic tree landscapes

Wen Huang, Kyle A. Gallivan, James C. Wilgenbusch, 2017, BMC Bioinformatics.

Solving PhaseLift by Low-rank Riemannian Optimization Methods

Wen Huang, Xiangxiong Zhang, Kyle A. Gallivan, 2017, ICCS.

An incremental method for computing dominant singular spaces

Paul Van Dooren, Younes Chahlaoui, Kyle A. Gallivan, 2001 .

Cache Models for Iterative Compilation

Peter M. W. Knijnenburg, Kyle A. Gallivan, Toru Kisuki, 2001, Euro-Par.

H2-Optimal Model Reduction with Higher-Order Poles

Paul Van Dooren, Pierre-Antoine Absil, Kyle A. Gallivan, 2010, SIAM J. Matrix Anal. Appl..

High-Performance Architectures For Adaptive Filtering Based On The Gram-Schmidt Algorithm

Charles E. Leiserson, Kyle A. Gallivan, 1984, Optics & Photonics.

Rational approximations of pre-filtered transfer functions via the Lanczos algorithm

Paul Van Dooren, Kyle A. Gallivan, P. Dooren, 1999, Numerical Algorithms.

An efficient particle filtering technique on the Grassmann manifold

Paul Van Dooren, Anuj Srivastava, Pierre-Antoine Absil, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Model Reduction of Large-Scale Dynamical Systems

Paul Van Dooren, Ananth Grama, Danny C. Sorensen, 2004, International Conference on Computational Science.

Parallel event-driven waveform relaxation

Resve A. Saleh, Kyle A. Gallivan, Yen-Cheng Wen, 1991, [1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors.

A rational Lanczos algorithm for model reduction

Paul Van Dooren, Kyle A. Gallivan, G. Grimme, 1996, Numerical Algorithms.

Rank-constrained optimization: a Riemannian manifold approach

Paul Van Dooren, Wen Huang, Pierre-Antoine Absil, 2015, ESANN.

Rapid convergence in fault tolerant adaptive algorithms

W. Kenneth Jenkins, Kyle A. Gallivan, Robert A. Soni, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

VISTA: VPO interactive system for tuning applications

Xin Yuan, Yunheung Paek, Stephen Roderick Hines, 2006, TECS.

The Riemannian BFGS algorithm with applications (abstract)

Pierre-Antoine Absil, Kyle A. Gallivan, Chunhong Qi, 2009 .

On the problem of optimizing data transfers for complex memory systems

Dennis Gannon, William Jalby, Kyle A. Gallivan, 1988, ICS '88.

Intrinsic representation of tangent vectors and vector transports on matrix manifolds

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2017, Numerische Mathematik.

Behavioral characterization of multiprocessor memory systems: a case study

Allen D. Malony, Dennis Gannon, William Jalby, 1989, SIGMETRICS '89.

Impact of Hierarchical Memory Systems On Linear Algebra Algorithm Design

William Jalby, Ahmed Sameh, Kyle A. Gallivan, 1988 .

Parallel Algorithms for Matrix Computations

Michael T. Heath, Ahmed Sameh, Charles H. Romine, 1987 .

A unified framework for nonlinear dependence testing and symbolic analysis

Kyle A. Gallivan, Robert A. van Engelen, Yixin Shou, 2004, ICS '04.

An Implicit Riemannian Trust-Region Method for the Symmetric Generalized Eigenproblem

Pierre-Antoine Absil, Kyle A. Gallivan, C. G. Baker, 2006, International Conference on Computational Science.

Strategies for cache and local memory management by global program transformation

Dennis Gannon, William Jalby, Kyle A. Gallivan, 1988, J. Parallel Distributed Comput..

Optimal linear representations of images for object recognition

Anuj Srivastava, Xiuwen Liu, Kyle A. Gallivan, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Riemannian approach for computing geodesies in elastic shape analysis

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Parametric timing estimation with Newton–Gregory formulae

Kyle A. Gallivan, Robert A. van Engelen, Burt Walsh, 2006, Concurr. Comput. Pract. Exp..

A Large-Grain Parallel Sparse System Solver

Harry A. G. Wijshoff, Bret A. Marsolf, Kyle A. Gallivan, 1989, PPSC.

Joint Diagonalization on the Oblique Manifold for Independent Component Analysis

Pierre-Antoine Absil, Kyle A. Gallivan, P. Absil, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Two-stage optimal component analysis

Xiuwen Liu, Yiming Wu, Kyle A. Gallivan, 2008, Comput. Vis. Image Underst..

Gram -Schmidt algorithm

Charles E. Leiserson, Kyle A. Gallivan, 2017 .

Experimentally Characterizing the Behavior of Multiprocessor Memory Systems. A Case Study

Allen D. Malony, Dennis Gannon, William Jalby, 1990, IEEE Trans. Software Eng..

A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2016, ICCS.

Solving PhaseLift by Low-rank Riemannian Optimization Methods

Wen Huang, Xiangxiong Zhang, Kyle A. Gallivan, 2016, ICCS.

ROPTLIB

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2018, ACM Trans. Math. Softw..

Riemannian Optimization for Registration of Curves in Elastic Shape Analysis

Wen Huang, Anuj Srivastava, Pierre-Antoine Absil, 2015, Journal of Mathematical Imaging and Vision.

A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, 2015, SIAM J. Optim..

XML-RPC Agents for Distributed Scientific Computing

Kyle A. Gallivan, Robert van Engelen, Gunjan Kumar Gupta, 2000 .

Finding effective optimization phase sequences

Yunheung Paek, David Whalley, Kyle A. Gallivan, 2003 .

Tight Timing Estimation With the Newton-Gregory Formulae∗

Kyle A. Gallivan, Robert van Engelen, 2002 .

On Solving Block Toeplitz Systems Using a Block Schur Algorithm

Paul Van Dooren, Kyle A. Gallivan, Srikanth Thirumalai, 1994, 1994 International Conference on Parallel Processing Vol. 3.

A limited-memory Riemannian symmetric rank-one trust-region method with an efficient algorithm for its subproblem

Kyle A. Gallivan, Wen Huang, K. Gallivan, 2021, IFAC-PapersOnLine.

Investigating the Genomic Distribution of Phylogenetic Signal with CloudForest

Kyle A. Gallivan, James C. Wilgenbusch, Jeremy M. Brown, 2021, PEARC.

CloudForest: Dockerized Galaxy as a platform for an integrated phylogenomics software workflow

Kyle A. Gallivan, James C. Wilgenbusch, Reid Wagner, 2021 .

An apocalypse-free first-order low-rank optimization algorithm pdf

Kyle A. Gallivan, Guillaume Olikier, P.-A. Absil, 2022, ArXiv.

A new family of block methods

Kyle A. Gallivan, U. Yang, K. Gallivan, 1999 .

Stabiliation of large scale dynamical systems

Paul Van Dooren, Kyle A. Gallivan, X. Rao, 2000 .

Model reduction of linear time-varying systems over finite horizons

Paul Van Dooren, Kyle A. Gallivan, Samuel Melchior, 2014 .

Detection and integration of oscillatory differential equations with initial stepsize, order and method selection

Kyle A. Gallivan, 1980 .

An Implicit Riemannian Trust-Region Method.

Pierre-Antoine Absil, Kyle A. Gallivan, C. G. Baker, 2008 .

Automatic methods for highly oscillatory ordinary differential equations

Kyle A. Gallivan, Charles William Gear, 1982 .

On the generality of multipoint Padé approximations

Kyle A. Gallivan, P. Van Dooren, Antoine Vandendorpe, 2002 .

Singular Riccati equations stabilizing large-scale systems

Kyle A. Gallivan, P. Van Dooren, X. Rao, 2006 .

An Efficient BFGS Algorithm for Riemannian Optimization

Pierre-Antoine Absil, Kyle A. Gallivan, Chunhong Qi, 2010 .

On some modifications of the Lanczos algorithm and the relation with Padé approximations

Paul Van Dooren, Danny C. Sorensen, Kyle A. Gallivan, 1997 .

Asymptotic Waveform Evaluation via a Restarted Lanczos Method

Kyle A. Gallivan, E. Grimme, K. Gallivan, 1994 .

Unconstrained optimizers for ICA learning on oblique manifold using Parzen density estimation

Bruno Alfano, Michele Larobina, Umberto Amato, 2011 .

A method for generating rational interpolant reduced order models of two-parameter linear systems

Kyle A. Gallivan, Eric Michielssen, Daniel S. Weile, 1999 .

An Algorithm for the Detection and Integration of Highly Oscillatory Ordinary Differential Equations Using a Generalized Unified Modified Divided Difference Representation

Kyle A. Gallivan, K. Gallivan, 1983 .

Acceleration of normalized adaptive filtering data-reusing methods using the Tchebyshev and conjugate gradient methods

W. K. Jenkins, Kyle A. Gallivan, R. A. Soni, 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

Projection methods for improved performance in FIR adaptive filters

W. K. Jenkins, Kyle A. Gallivan, R. A. Soni, 1997, Proceedings of 40th Midwest Symposium on Circuits and Systems. Dedicated to the Memory of Professor Mac Van Valkenburg.

H2-optimal approximation of MIMO linear dynamical systems

Paul Van Dooren, Kyle A. Gallivan, P.-A. Absil, 2008, 0807.4807.

Low-rank incremental methods for computing dominant singular subspaces☆

Paul Van Dooren, Kyle A. Gallivan, Y. Chahlaoui, 2012 .

Sylvester equations and projection-based model reduction

Kyle A. Gallivan, P. Van Dooren, Antoine Vandendorpe, 2004 .

A compressed sensing approach for partial differential equations with random input data

Kyle A. Gallivan, K. Gallivan, L. Mathelin, 2012 .

A necessary and sufficient symbolic condition for the existence of incomplete Cholesky factorization

R. Bramley, Kyle A. Gallivan, Xiaoge Wang, 1996 .

High-performance algorithms to solve toeplitz and block toeplitz matrices

Kyle A. Gallivan, Srikanth Thirumalai, K. Gallivan, 1996 .