Title :
Process models for analyzing associative data structures
Author :
Hahanov, Vladimir ; Guz, Olesya ; Umerah, Ngene Christopher
Author_Institution :
Comput. Eng. Fac., Kharkov Nat. Univ. of Radioelectron., Kharkov, Ukraine
Abstract :
Parallel vector multiprocessor nonarithmetic process models presented in the paper focused on effective solving real-world problems of synthesis and analysis: the minimization of Boolean functions, searching for faults, repairing, pattern recognition, decision making, designing digital filters, creating user-friendly servers, Web sites and portals.
Keywords :
associative processing; data structures; multiprocessing systems; parallel processing; associative data structure; parallel computing; parallel vector multiprocessor nonarithmetic process model; Boolean functions; Computational modeling; Computers; Data models; Decision making; Mathematical model; associative data structure; multiprocessor; parallel computing; process model;
Conference_Titel :
CAD Systems in Microelectronics (CADSM), 2011 11th International Conference The Experience of Designing and Application of
Conference_Location :
Polyana-Svalyava
Print_ISBN :
978-1-4577-0042-2
