Cholesky decomposition of controllability and observability gramians using parallel computation with CPU

• Autorzy: Raczyński D.
• Języki publikacji: EN

Abstrakty

EN

Tlic purpose of this paper is to present the advantages of parallel computing the Cholesky decomposition of controllability and observabilily gramians by nieans of NVIDIA general purpose Graphics Processing Unit (GPU). The paper contains results of the conducted examinations comparing speed of the sign function and Smith methods.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2012
• Tom: z. 68
• Strony: 59--60
• Opis fizyczny: Bibliogr. 3 poz., rys.

Twórcy

autor

Raczyński D.

• Faculty of Electrical Engineering Automatic Control and Informatics Institute of Control and Computer Engineering

Bibliografia

• [1] ANTOULAS A.: Approximation of Large-Scalc Dynamical Systems, SI AM, Philadelphia 2005
• [2] BENNER P., EZZATTI P„ KRESSNER D„ QUINTANA E„ REMÓN A.: Accelerating Model Reduction of Large Linear Systems with Graphics Processors, State of the Art in Scicntific and Parallel Computing, Reykjavik 20!0
• [3] BENNER P., CLAVER J., Quintana E.: Efficient solution of couplcd Lyapunov equations via matrix sign function iterations, Third Portuguese Confercnce on Automatic Control - CONTROLO'98, Coimbra 1998