A set of level 3 basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
Computational methods for linear control systems
Computational methods for linear control systems
LAPACK's user's guide
Scalability issues affecting the design of a dense linear algebra library
Journal of Parallel and Distributed Computing - Special issue on scalability of parallel algorithms and architectures
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Parallelizing the QR algorithm for the unsymmetric algebraic eigenvalue problem: myths and reality
SIAM Journal on Scientific Computing
Matrix computations (3rd ed.)
Using PLAPACK: parallel linear algebra package
Using PLAPACK: parallel linear algebra package
ScaLAPACK user's guide
LogGP: incorporating long messages into the LogP model for parallel computation
Journal of Parallel and Distributed Computing
The Spectral Decomposition of Nonsymmetric Matrices on Distributed Memory Parallel Computers
SIAM Journal on Scientific Computing
Gradient-based approach to solve optimal periodic output feedback control problems
Automatica (Journal of IFAC)
High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
The Multishift QR Algorithm. Part I: Maintaining Well-Focused Shifts and Level 3 Performance
SIAM Journal on Matrix Analysis and Applications
The Multishift QR Algorithm. Part II: Aggressive Early Deflation
SIAM Journal on Matrix Analysis and Applications
Parallel Implementation of the Nonsymmetric QR Algorithm forDistributed Memory Architectures
Parallel Implementation of the Nonsymmetric QR Algorithm forDistributed Memory Architectures
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This paper analyzes the performance of two parallel algorithms for solving the linear-quadratic optimal control problem arising in discrete-time periodic linear systems. The algorithms perform a sequence of orthogonal reordering transformations on formal matrix products associated with the periodic linear system and then employ the so-called matrix disk function to solve the resulting discrete-time periodic algebraic Riccati equations needed to determine the optimal periodic feedback. We parallelize these solvers using two different approaches, based on a coarse-grain and a medium-grain distribution of the computational load. The experimental results report the high performance and scalability of the parallel algorithms on a Beowulf cluster.