Computer System Architecture 3rd edition by Morris Mano ISBN 0131755633 978-0131755635

Computer System Architecture 3rd edition by Morris Mano – Ebook PDF Instant Download/Delivery. 0131755633 978-0131755635
Full download Computer System Architecture 3rd edition after payment

Product details:

ISBN 10: 0131755633
ISBN 13: 978-0131755635
Author: Morris Mano

Dealing with computer architecture as well as computer organization and design, this fully updated book provides the basic knowledge necessary to understand the hardware operation of digital computers. Written to aid electrical engineers, computer engineers, and computer scientists, the volume includes: KEY FEATURES: the computer architecture, organization, and design associated with computer hardware • the various digital components used in the organization and design of digital computers • detailed steps that a designer must go through in order to design an elementary basic computer • the organization and architecture of the central processing unit • the organization and architecture of input-output and memory • the concept of multiprocessing • two new chapters on pipeline and vector processing • two sections devoted completely to the reduced instruction set computer (RISC) • and sample worked-out problems to clarify topics.

Computer System Architecture 3rd Table of contents:

1. Introduction to Computer System Architecture

• Overview of Computer Architecture
• The Role of Computer Architecture in Computing
• Evolution of Computer Systems
• Computer System Components and Their Functions
• Basic Concepts: CPU, Memory, Input/Output Systems

2. Data Representation and Number Systems

• Binary, Decimal, and Hexadecimal Systems
• Signed Number Representation (2’s Complement, Sign Magnitude)
• Floating Point Representation
• ASCII, Unicode, and Other Character Representations
• Data Encoding and Error Detection (Parity, Checksums, Hamming Code)

3. Boolean Algebra and Logic Gates

• Boolean Operations and Laws
• Basic Logic Gates (AND, OR, NOT, NAND, NOR, XOR)
• Combinational Logic Circuits
• Simplification of Boolean Expressions (Karnaugh Maps)
• Design of Arithmetic Circuits (Adders, Subtractors, Multipliers)
• Multiplexers, Decoders, and Encoders

4. Central Processing Unit (CPU) Design

• Components of the CPU
• Data Path and Control Path
• The Fetch-Decode-Execute Cycle
• ALU (Arithmetic Logic Unit) Design
• Control Unit Design: Hardwired vs. Microprogrammed Control
• Pipelining: Concepts and Benefits
• Performance Metrics: Clock Speed, CPI (Cycles Per Instruction)

5. Memory Systems and Hierarchy

• Memory Types: Primary vs. Secondary
• Memory Hierarchy: Registers, Cache, RAM, and Disk
• Cache Memory: Mapping Techniques (Direct-Mapped, Set-Associative, Fully Associative)
• Virtual Memory: Paging, Segmentation, and Address Translation
• Memory Management Techniques: TLB (Translation Lookaside Buffer), Page Faults
• DRAM vs. SRAM and Emerging Memory Technologies

6. Input/Output Systems

• I/O Devices: Types and Functions
• I/O Ports and Buses
• Interrupts: Mechanism and Types
• DMA (Direct Memory Access)
• I/O Performance and Buffering
• Peripheral Devices: Keyboards, Displays, Storage Devices, Network Interfaces
• Serial vs. Parallel Communication
• USB, PCI, and Other I/O Standards

7. Instruction Set Architecture (ISA)

• Instruction Set Overview
• Types of Instructions: Data Transfer, Arithmetic, Logic, Control
• Addressing Modes: Immediate, Direct, Indirect, Indexed
• CISC vs. RISC Architectures
• Register Set and Operand Management
• Instruction Formats and Field Structure

8. Control Unit Design

• Control Unit Functions
• Hardwired Control vs. Microprogrammed Control
• Micro-operations and Microinstructions
• Design of Control Unit for Simple and Complex Processors
• State Diagrams and Finite State Machines
• Control of Pipelined Processors

9. Pipelining and Parallelism

• Introduction to Pipelining
• Pipeline Stages: Fetch, Decode, Execute, Write-back
• Hazards in Pipelining: Data, Control, and Structural Hazards
• Solutions to Hazards: Stalling, Forwarding, Branch Prediction
• Superscalar Architecture and Instruction-Level Parallelism (ILP)
• Multithreading and Simultaneous Multithreading (SMT)
• Vector and SIMD (Single Instruction, Multiple Data) Architectures
• Multi-core and Many-core Processors

10. Multicore and Multiprocessor Architectures

• Introduction to Multicore Systems
• Shared Memory vs. Distributed Memory Architectures
• Interconnection Networks: Bus, Crossbar, and Switches
• Synchronization and Communication in Multiprocessor Systems
• Cache Coherence Protocols (MESI, MOESI)
• Parallel Programming and Thread-Level Parallelism
• Multi-core Performance and Challenges

11. System Interconnects and Buses

• System Buses: Data, Address, Control Buses
• Bus Arbitration and Bus Contention
• High-Speed Interconnects: PCI Express, InfiniBand
• Memory Interconnects and Bus Standards
• Interconnection Architectures for Parallel Systems
• Network-on-Chip (NoC) Architectures

12. Advanced Processor Architectures

• VLIW (Very Long Instruction Word) Architecture
• EPIC (Explicitly Parallel Instruction Computing)
• ARM and MIPS Architectures
• DSP (Digital Signal Processor) Architectures
• GPU (Graphics Processing Unit) Architectures
• Future Processor Design Trends

13. Performance Evaluation and Benchmarking

• Performance Metrics: CPU Time, MIPS, FLOPS
• Benchmarks and Benchmark Suites
• Amdahl’s Law and Speedup Analysis
• Power Consumption and Energy Efficiency in Processors
• Designing for High-Performance Systems
• Real-World Performance Trade-offs

14. Fault Tolerance and Reliability

• Introduction to Fault Tolerance in Computer Systems
• Redundancy Techniques: Parity, Error Detection and Correction
• RAID (Redundant Array of Independent Disks) Levels
• Hardware Fault Tolerance in Processors and Memory
• Software Techniques for Fault Detection and Recovery
• Reliability Engineering in Computer Architecture

15. Embedded Systems and Special-Purpose Architectures

• Introduction to Embedded Systems
• Real-Time Systems and Design Considerations
• Microcontroller Architecture and Programming
• Digital Signal Processors (DSP) and Their Architecture
• System-on-Chip (SoC) Design
• FPGAs (Field-Programmable Gate Arrays) and Hardware Description Languages (HDL)

16. Emerging Trends in Computer Architecture

• Quantum Computing and Quantum Architecture
• Neuromorphic Computing and Brain-Inspired Architectures
• Photonic Computing and Optical Interconnects
• Advances in Memory Technologies (MRAM, 3D NAND)
• Computing with DNA and Molecular Computing
• Energy-Efficient Architectures and Green Computing
• Future Directions in System-on-Chip and Heterogeneous Architectures

17. Conclusion and Future Outlook

• Key Challenges in Modern Computer Architecture
• The Role of Computer Architecture in Emerging Technologies
• The Road Ahead: Architectures for AI, IoT, and Big Data
• Final Thoughts on the Evolution of Computer Systems

Appendices

• A. Mathematical Tools for Computer Architects
• B. Important Constants and Formulas
• C. Glossary of Terms
• D. Further Reading and References
• E. Index

People also search for Computer System Architecture 3rd:

basic electronics for scientists and engineers solutions

electrical engineering scientists

electrical scientists their inventions

facts about electronics engineering

what is basic electronics engineering