Lectures - Fundamentals of Computer Systems

SUBJECT MATTER AND OBJECTIVES OF THE COURSE 3

Composition and functioning of the ODS 3

Characteristics and parameters of ODS 6

Mode data processing 9

SYSTEM parallel processing 11

Pipelining 11

Pipeline operations 12

Instruction pipeline 12

Classification systems of parallel processing. 13

System class OKOD 13

MKOD 13

SIMD 13

MKMD 14

Real-time systems. 14

The flow of events 14

The functioning of real-time systems used for managing technical objects. 16

Discipline service applications with mixed priorities. 17

Service requests in batch mode. 18

Mixed Mode service. 19

Scheduling based on dynamic priorities. 19

Classes of real-time systems 20

Evaluation of the initial speed of the processor 22

The task prioritization of applications 22

Criteria for selection of service discipline 23

The task of choosing 24

The procedure for the synthesis of real-time systems 24

Multiprocessor computer systems 25

Features IBWC shared memory 28

Features IBWC with individual memory. 30

Compare IBWC shared memory and individual memory. 31

ERM with a two-level memory. 33

Multicomputer VC. 34

Satellites MMBK. 36

Features of the organization of computing processes in multicomputer and multiprocessor VC. 36

TASK identification and modeling of aircraft. 38

The problem of identification. 38

Principles of construction and property models. 39

Markov models in computer science. 39

Statistical Methods for building models of aircraft. 42

Methods for regression analysis. 42

Simulation modeling techniques. 42

The analytical and experimental methods. 44

Experimental methods. 44

Methods and measuring and evaluate the functioning of aircraft. 44

Universal and special monitors. 46

Monitors. 46

Hardware monitors. 46

Some variants of construction of computing systems. 49

Matrix systems. 49

Associative systems. 49

Homogeneous system and environment. 50

Functionally distributed system. 51

Systems with reconfigurable structure. 51

CONTROL function properly and the system VM. 52

Verifying the data. 53

Iterative codes 54

Convolution coding 55

Equilibrium codes 55

System diagnostics Sun 56

Features of the software product as a test object 58

General principles of the approach to testing the UI 59