Interior Point Methods on GPU with application to Model Predictive Control
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[1] Peter Martini,et al. An efficient GPU implementation of the revised simplex method , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).
[2] Jacek Gondzio,et al. Multiple centrality corrections in a primal-dual method for linear programming , 1996, Comput. Optim. Appl..
[3] Michael Garland,et al. Efficient Sparse Matrix-Vector Multiplication on CUDA , 2008 .
[4] Jie Cheng,et al. Programming Massively Parallel Processors. A Hands-on Approach , 2010, Scalable Comput. Pract. Exp..
[5] Anne C. Elster,et al. Linear optimization on modern GPUs , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.
[6] David Q. Mayne,et al. Model predictive control: Recent developments and future promise , 2014, Autom..
[7] Stephen J. Wright. Primal-Dual Interior-Point Methods , 1997, Other Titles in Applied Mathematics.
[8] Jack J. Dongarra,et al. A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators , 2010, VECPAR.
[9] J. Gondzio,et al. Regularized Symmetric Indefinite Systems in Interior Point Methods for Linear and Quadratic Optimization , 1999 .
[10] Nicolai Fog Gade-Nielsen,et al. High Resolution Orientation Distribution Function , 2011 .
[11] Jacek Gondzio,et al. Further development of multiple centrality correctors for interior point methods , 2008, Comput. Optim. Appl..
[12] Jorge Nocedal,et al. Steplength selection in interior-point methods for quadratic programming , 2007, Appl. Math. Lett..
[13] Murat Efe Guney,et al. On the limits of GPU acceleration , 2010 .
[14] Didier El Baz,et al. Efficient Implementation of the Simplex Method on a CPU-GPU System , 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.
[15] Jacek Gondzio,et al. Interior point methods 25 years later , 2012, Eur. J. Oper. Res..
[16] Dianne P. O'Leary,et al. IMPLEMENTING AN INTERIOR POINT METHOD FOR LINEAR PROGRAMS ON A CPU-GPU SYSTEM , 2010 .
[17] Jacek Gondzio,et al. Matrix-free interior point method , 2012, Comput. Optim. Appl..
[18] John Bagterp Jørgensen,et al. A primal-dual interior-point linear programming algorithm for MPC , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[19] J. Shewchuk. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain , 1994 .
[20] Jorge Nocedal,et al. A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians , 2009, SIAM J. Optim..
[21] Yong Dou,et al. Implementation of parallel sparse Cholesky factorization on GPU , 2012, Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.
[22] Sanjay Mehrotra,et al. On the Implementation of a Primal-Dual Interior Point Method , 1992, SIAM J. Optim..
[23] Anamitra R. Choudhury,et al. Multifrontal Factorization of Sparse SPD Matrices on GPUs , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.
[24] Jack J. Purdum,et al. C programming guide , 1983 .
[25] Stephen J. Wright,et al. Numerical Optimization (Springer Series in Operations Research and Financial Engineering) , 2000 .
[26] Robert J. Vanderbei,et al. Prior reduced fill-in in solving equations in interior point algorithms , 1992, Operations Research Letters.
[27] Kristian Skjoldborg Edlund,et al. Dynamic Load Balancing of a Power System Portfolio , 2010 .
[28] John Bagterp Jørgensen,et al. The potential of Economic MPC for power management , 2010, 49th IEEE Conference on Decision and Control (CDC).
[29] Marco Colombo,et al. Advances in interior point methods for large-scale linear programming , 2007 .
[30] YANQING CHEN,et al. Algorithm 8 xx : CHOLMOD , supernodal sparse Cholesky factorization and update / downdate ∗ , 2006 .
[31] Rasmus Halvgaard,et al. Model Predictive Control for Smart Energy Systems , 2014 .
[32] John Bagterp Jørgensen,et al. MPC Toolbox with GPU Accelerated Optimization Algorithms , 2012 .
[33] Michael Garland,et al. Implementing sparse matrix-vector multiplication on throughput-oriented processors , 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.
[34] Nicolai Fog Gade-Nielsen,et al. Numerical Methods for Solution of the Extended Linear Quadratic Control Problem , 2012 .
[35] Allan Peter Engsig-Karup,et al. Designing Scientific Software for Heterogeneous Computing:With application to large-scale water wave simulations , 2013 .
[36] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[37] Felix Wolf,et al. Patterns of Inefficient Performance Behavior in GPU Applications , 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.
[38] Jack Dongarra,et al. Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators , 2010 .
[39] Hans Henrik Brandenborg Sørensen,et al. Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs , 2011, PPAM.
[40] Jacek Gondzio,et al. GPU Acceleration of the Matrix-Free Interior Point Method , 2011, PPAM.
[41] Jacek Gondzio,et al. Implementation of Interior Point Methods for Large Scale Linear Programming , 1996 .
[42] Jan M. Maciejowski,et al. Predictive control : with constraints , 2002 .
[43] Jianbin Fang,et al. A Comprehensive Performance Comparison of CUDA and OpenCL , 2011, 2011 International Conference on Parallel Processing.
[44] Yong Dou,et al. Supernodal sparse Cholesky factorization on graphics processing units , 2014, Concurr. Comput. Pract. Exp..