Chapter 2 Instruction Set Architecture (ISA)
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Computer Architectures
Computer Architectures Central Processing Unit (CPU) Pavel Píša, Michal Štepanovský, Miroslav Šnorek The lecture is based on A0B36APO lecture. Some parts are inspired by the book Paterson, D., Henessy, V.: Computer Organization and Design, The HW/SW Interface. Elsevier, ISBN: 978-0-12-370606-5 and it is used with authors' permission. Czech Technical University in Prague, Faculty of Electrical Engineering English version partially supported by: European Social Fund Prague & EU: We invests in your future. AE0B36APO Computer Architectures Ver.1.10 1 Computer based on von Neumann's concept ● Control unit Processor/microprocessor ● ALU von Neumann architecture uses common ● Memory memory, whereas Harvard architecture uses separate program and data memories ● Input ● Output Input/output subsystem The control unit is responsible for control of the operation processing and sequencing. It consists of: ● registers – they hold intermediate and programmer visible state ● control logic circuits which represents core of the control unit (CU) AE0B36APO Computer Architectures 2 The most important registers of the control unit ● PC (Program Counter) holds address of a recent or next instruction to be processed ● IR (Instruction Register) holds the machine instruction read from memory ● Another usually present registers ● General purpose registers (GPRs) may be divided to address and data or (partially) specialized registers ● SP (Stack Pointer) – points to the top of the stack; (The stack is usually used to store local variables and subroutine return addresses) ● PSW (Program Status Word) ● IM (Interrupt Mask) ● Optional Floating point (FPRs) and vector/multimedia regs. AE0B36APO Computer Architectures 3 The main instruction cycle of the CPU 1. Initial setup/reset – set initial PC value, PSW, etc. -
Microprocessor Architecture
EECE416 Microcomputer Fundamentals Microprocessor Architecture Dr. Charles Kim Howard University 1 Computer Architecture Computer System CPU (with PC, Register, SR) + Memory 2 Computer Architecture •ALU (Arithmetic Logic Unit) •Binary Full Adder 3 Microprocessor Bus 4 Architecture by CPU+MEM organization Princeton (or von Neumann) Architecture MEM contains both Instruction and Data Harvard Architecture Data MEM and Instruction MEM Higher Performance Better for DSP Higher MEM Bandwidth 5 Princeton Architecture 1.Step (A): The address for the instruction to be next executed is applied (Step (B): The controller "decodes" the instruction 3.Step (C): Following completion of the instruction, the controller provides the address, to the memory unit, at which the data result generated by the operation will be stored. 6 Harvard Architecture 7 Internal Memory (“register”) External memory access is Very slow For quicker retrieval and storage Internal registers 8 Architecture by Instructions and their Executions CISC (Complex Instruction Set Computer) Variety of instructions for complex tasks Instructions of varying length RISC (Reduced Instruction Set Computer) Fewer and simpler instructions High performance microprocessors Pipelined instruction execution (several instructions are executed in parallel) 9 CISC Architecture of prior to mid-1980’s IBM390, Motorola 680x0, Intel80x86 Basic Fetch-Execute sequence to support a large number of complex instructions Complex decoding procedures Complex control unit One instruction achieves a complex task 10 -
What Do We Mean by Architecture?
Embedded programming: Comparing the performance and development workflows for architectures Embedded programming week FABLAB BRIGHTON 2018 What do we mean by architecture? The architecture of microprocessors and microcontrollers are classified based on the way memory is allocated (memory architecture). There are two main ways of doing this: Von Neumann architecture (also known as Princeton) Von Neumann uses a single unified cache (i.e. the same memory) for both the code (instructions) and the data itself, Under pure von Neumann architecture the CPU can be either reading an instruction or reading/writing data from/to the memory. Both cannot occur at the same time since the instructions and data use the same bus system. Harvard architecture Harvard architecture uses different memory allocations for the code (instructions) and the data, allowing it to be able to read instructions and perform data memory access simultaneously. The best performance is achieved when both instructions and data are supplied by their own caches, with no need to access external memory at all. How does this relate to microcontrollers/microprocessors? We found this page to be a good introduction to the topic of microcontrollers and microprocessors, the architectures they use and the difference between some of the common types. First though, it’s worth looking at the difference between a microprocessor and a microcontroller. Microprocessors (e.g. ARM) generally consist of just the Central Processing Unit (CPU), which performs all the instructions in a computer program, including arithmetic, logic, control and input/output operations. Microcontrollers (e.g. AVR, PIC or 8051) contain one or more CPUs with RAM, ROM and programmable input/output peripherals. -
Computer Organization and Architecture Designing for Performance Ninth Edition
COMPUTER ORGANIZATION AND ARCHITECTURE DESIGNING FOR PERFORMANCE NINTH EDITION William Stallings Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montréal Toronto Delhi Mexico City São Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo Editorial Director: Marcia Horton Designer: Bruce Kenselaar Executive Editor: Tracy Dunkelberger Manager, Visual Research: Karen Sanatar Associate Editor: Carole Snyder Manager, Rights and Permissions: Mike Joyce Director of Marketing: Patrice Jones Text Permission Coordinator: Jen Roach Marketing Manager: Yez Alayan Cover Art: Charles Bowman/Robert Harding Marketing Coordinator: Kathryn Ferranti Lead Media Project Manager: Daniel Sandin Marketing Assistant: Emma Snider Full-Service Project Management: Shiny Rajesh/ Director of Production: Vince O’Brien Integra Software Services Pvt. Ltd. Managing Editor: Jeff Holcomb Composition: Integra Software Services Pvt. Ltd. Production Project Manager: Kayla Smith-Tarbox Printer/Binder: Edward Brothers Production Editor: Pat Brown Cover Printer: Lehigh-Phoenix Color/Hagerstown Manufacturing Buyer: Pat Brown Text Font: Times Ten-Roman Creative Director: Jayne Conte Credits: Figure 2.14: reprinted with permission from The Computer Language Company, Inc. Figure 17.10: Buyya, Rajkumar, High-Performance Cluster Computing: Architectures and Systems, Vol I, 1st edition, ©1999. Reprinted and Electronically reproduced by permission of Pearson Education, Inc. Upper Saddle River, New Jersey, Figure 17.11: Reprinted with permission from Ethernet Alliance. Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook appear on the appropriate page within text. Copyright © 2013, 2010, 2006 by Pearson Education, Inc., publishing as Prentice Hall. All rights reserved. Manufactured in the United States of America. -
The Von Neumann Computer Model 5/30/17, 10:03 PM
The von Neumann Computer Model 5/30/17, 10:03 PM CIS-77 Home http://www.c-jump.com/CIS77/CIS77syllabus.htm The von Neumann Computer Model 1. The von Neumann Computer Model 2. Components of the Von Neumann Model 3. Communication Between Memory and Processing Unit 4. CPU data-path 5. Memory Operations 6. Understanding the MAR and the MDR 7. Understanding the MAR and the MDR, Cont. 8. ALU, the Processing Unit 9. ALU and the Word Length 10. Control Unit 11. Control Unit, Cont. 12. Input/Output 13. Input/Output Ports 14. Input/Output Address Space 15. Console Input/Output in Protected Memory Mode 16. Instruction Processing 17. Instruction Components 18. Why Learn Intel x86 ISA ? 19. Design of the x86 CPU Instruction Set 20. CPU Instruction Set 21. History of IBM PC 22. Early x86 Processor Family 23. 8086 and 8088 CPU 24. 80186 CPU 25. 80286 CPU 26. 80386 CPU 27. 80386 CPU, Cont. 28. 80486 CPU 29. Pentium (Intel 80586) 30. Pentium Pro 31. Pentium II 32. Itanium processor 1. The von Neumann Computer Model Von Neumann computer systems contain three main building blocks: The following block diagram shows major relationship between CPU components: the central processing unit (CPU), memory, and input/output devices (I/O). These three components are connected together using the system bus. The most prominent items within the CPU are the registers: they can be manipulated directly by a computer program. http://www.c-jump.com/CIS77/CPU/VonNeumann/lecture.html Page 1 of 15 IPR2017-01532 FanDuel, et al. -
Please Replace the Following Pages in the Book. 26 Microcontroller Theory and Applications with the PIC18F
Please replace the following pages in the book. 26 Microcontroller Theory and Applications with the PIC18F Before Push After Push Stack Stack 16-bit Register 0120 143E 20C2 16-bit Register 0120 SP 20CA SP 20C8 143E 20C2 0703 20C4 0703 20C4 F601 20C6 F601 20C6 0706 20C8 0706 20C8 0120 20CA 20CA 20CC 20CC 20CE 20CE Bottom of Stack FIGURE 2.12 PUSH operation when accessing a stack from the bottom Before POP After POP Stack 16-bit Register A286 16-bit Register 0360 Stack 143E 20C2 SP 20C8 SP 20CA 143E 20C2 0705 20C4 0705 20C4 F208 20C6 F208 20C6 0107 20C8 0107 20C8 A286 20CA A286 20CA 20CC 20CC Bottom of Stack FIGURE 2.13 POP operation when accessing a stack from the bottom Note that the stack is a LIFO (last in, first out) memory. As mentioned earlier, a stack is typically used during subroutine CALLs. The CPU automatically PUSHes the return address onto a stack after executing a subroutine CALL instruction in the main program. After executing a RETURN from a subroutine instruction (placed by the programmer as the last instruction of the subroutine), the CPU automatically POPs the return address from the stack (previously PUSHed) and then returns control to the main program. Note that the PIC18F accesses the stack from the top. This means that the stack pointer in the PIC18F holds the address of the bottom of the stack. Hence, in the PIC18F, the stack pointer is incremented after a PUSH, and decremented after a POP. 2.3.2 Control Unit The main purpose of the control unit is to read and decode instructions from the program memory. -
Hardware Architecture
Hardware Architecture Components Computing Infrastructure Components Servers Clients LAN & WLAN Internet Connectivity Computation Software Storage Backup Integration is the Key ! Security Data Network Management Computer Today’s Computer Computer Model: Von Neumann Architecture Computer Model Input: keyboard, mouse, scanner, punch cards Processing: CPU executes the computer program Output: monitor, printer, fax machine Storage: hard drive, optical media, diskettes, magnetic tape Von Neumann architecture - Wiki Article (15 min YouTube Video) Components Computer Components Components Computer Components CPU Memory Hard Disk Mother Board CD/DVD Drives Adaptors Power Supply Display Keyboard Mouse Network Interface I/O ports CPU CPU CPU – Central Processing Unit (Microprocessor) consists of three parts: Control Unit • Execute programs/instructions: the machine language • Move data from one memory location to another • Communicate between other parts of a PC Arithmetic Logic Unit • Arithmetic operations: add, subtract, multiply, divide • Logic operations: and, or, xor • Floating point operations: real number manipulation Registers CPU Processor Architecture See How the CPU Works In One Lesson (20 min YouTube Video) CPU CPU CPU speed is influenced by several factors: Chip Manufacturing Technology: nm (2002: 130 nm, 2004: 90nm, 2006: 65 nm, 2008: 45nm, 2010:32nm, Latest is 22nm) Clock speed: Gigahertz (Typical : 2 – 3 GHz, Maximum 5.5 GHz) Front Side Bus: MHz (Typical: 1333MHz , 1666MHz) Word size : 32-bit or 64-bit word sizes Cache: Level 1 (64 KB per core), Level 2 (256 KB per core) caches on die. Now Level 3 (2 MB to 8 MB shared) cache also on die Instruction set size: X86 (CISC), RISC Microarchitecture: CPU Internal Architecture (Ivy Bridge, Haswell) Single Core/Multi Core Multi Threading Hyper Threading vs. -
Register Are Used to Quickly Accept, Store, and Transfer Data And
Register are used to quickly accept, store, and transfer data and instructions that are being used immediately by the CPU, there are various types of Registers those are used for various purpose. Among of the some Mostly used Registers named as AC or Accumulator, Data Register or DR, the AR or Address Register, program counter (PC), Memory Data Register (MDR) ,Index register,Memory Buffer Register. These Registers are used for performing the various Operations. While we are working on the System then these Registers are used by the CPU for Performing the Operations. When We Gives Some Input to the System then the Input will be Stored into the Registers and When the System will gives us the Results after Processing then the Result will also be from the Registers. So that they are used by the CPU for Processing the Data which is given by the User. Registers Perform:- 1) Fetch: The Fetch Operation is used for taking the instructions those are given by the user and the Instructions those are stored into the Main Memory will be fetch by using Registers. 2) Decode: The Decode Operation is used for interpreting the Instructions means the Instructions are decoded means the CPU will find out which Operation is to be performed on the Instructions. 3) Execute: The Execute Operation is performed by the CPU. And Results those are produced by the CPU are then Stored into the Memory and after that they are displayed on the user Screen. Types of Registers are as Followings 1. MAR stand for Memory Address Register This register holds the memory addresses of data and instructions. -
Computer Organization
Chapter 12 Computer Organization Central Processing Unit (CPU) • Data section ‣ Receives data from and sends data to the main memory subsystem and I/O devices • Control section ‣ Issues the control signals to the data section and the other components of the computer system Figure 12.1 CPU Input Data Control Main Output device section section Memory device Bus Data flow Control CPU components • 16-bit memory address register (MAR) ‣ 8-bit MARA and 8-bit MARB • 8-bit memory data register (MDR) • 8-bit multiplexers ‣ AMux, CMux, MDRMux ‣ 0 on control line routes left input ‣ 1 on control line routes right input Control signals • Originate from the control section on the right (not shown in Figure 12.2) • Two kinds of control signals ‣ Clock signals end in “Ck” to load data into registers with a clock pulse ‣ Signals that do not end in “Ck” to set up the data flow before each clock pulse arrives 0 1 8 14 15 22 23 A IR T3 M1 0x00 0x01 2 3 9 10 16 17 24 25 LoadCk Figure 12.2 X T4 M2 0x02 0x03 4 5 11 18 19 26 27 5 C SP T1 T5 M3 0x04 0x08 5 6 7 12 13 20 21 28 29 B PC T2 T6 M4 0xFA 0xFC 5 30 31 A CPU registers M5 0xFE 0xFF CBus ABus BBus Bus MARB MARCk MARA MDRCk MDR MDRMux AMux AMux MDRMux CMux 4 ALU ALU CMux Cin Cout C CCk Mem V VCk ANDZ Addr ANDZ Z ZCk Zout 0 Data 0 0 0 N NCk MemWrite MemRead Figure 12.2 (Expanded) 0 1 8 14 15 22 23 A IR T3 M1 0x00 0x01 2 3 9 10 16 17 24 25 LoadCk X T4 M2 0x02 0x03 4 5 11 18 19 26 27 5 C SP T1 T5 M3 0x04 0x08 5 6 7 12 13 20 21 28 29 B PC T2 T6 M4 0xFA 0xFC 5 30 31 A CPU registers M5 0xFE 0xFF CBus ABus BBus -
Computer Organization and Architecture, Rajaram & Radhakrishan, PHI
CHAPTER I CONTENTS: 1.1 INTRODUCTION 1.2 STORED PROGRAM ORGANIZATION 1.3 INDIRECT ADDRESS 1.4 COMPUTER REGISTERS 1.5 COMMON BUS SYSTEM SUMMARY SELF ASSESSMENT OBJECTIVE: In this chapter we are concerned with basic architecture and the different operations related to explain the proper functioning of the computer. Also how we can specify the operations with the help of different instructions. CHAPTER II CONTENTS: 2.1 REGISTER TRANSFER LANGUAGE 2.2 REGISTER TRANSFER 2.3 BUS AND MEMORY TRANSFERS 2.4 ARITHMETIC MICRO OPERATIONS 2.5 LOGIC MICROOPERATIONS 2.6 SHIFT MICRO OPERATIONS SUMMARY SELF ASSESSMENT OBJECTIVE: Here the concept of digital hardware modules is discussed. Size and complexity of the system can be varied as per the requirement of today. The interconnection of various modules is explained in the text. The way by which data is transferred from one register to another is called micro operation. Different micro operations are explained in the chapter. CHAPTER III CONTENTS: 3.1 INTRODUCTION 3.2 TIMING AND CONTROL 3.3 INSTRUCTION CYCLE 3.4 MEMORY-REFERENCE INSTRUCTIONS 3.5 INPUT-OUTPUT AND INTERRUPT SUMMARY SELF ASSESSMENT OBJECTIVE: There are various instructions with the help of which we can transfer the data from one place to another and manipulate the data as per our requirement. In this chapter we have included all the instructions, how they are being identified by the computer, what are their formats and many more details regarding the instructions. CHAPTER IV CONTENTS: 4.1 INTRODUCTION 4.2 ADDRESS SEQUENCING 4.3 MICROPROGRAM EXAMPLE 4.4 DESIGN OF CONTROL UNIT SUMMARY SELF ASSESSMENT OBJECTIVE: Various examples of micro programs are discussed in this chapter. -
The Von Neumann Architecture of Computer Systems
The von Neumann Architecture of Computer Systems http://www.csupomona.edu/~hnriley/www/VonN.html The von Neumann Architecture of Computer Systems H. Norton Riley Computer Science Department California State Polytechnic University Pomona, California September, 1987 Any discussion of computer architectures, of how computers and computer systems are organized, designed, and implemented, inevitably makes reference to the "von Neumann architecture" as a basis for comparison. And of course this is so, since virtually every electronic computer ever built has been rooted in this architecture. The name applied to it comes from John von Neumann, who as author of two papers in 1945 [Goldstine and von Neumann 1963, von Neumann 1981] and coauthor of a third paper in 1946 [Burks, et al. 1963] was the first to spell out the requirements for a general purpose electronic computer. The 1946 paper, written with Arthur W. Burks and Hermann H. Goldstine, was titled "Preliminary Discussion of the Logical Design of an Electronic Computing Instrument," and the ideas in it were to have a profound impact on the subsequent development of such machines. Von Neumann's design led eventually to the construction of the EDVAC computer in 1952. However, the first computer of this type to be actually constructed and operated was the Manchester Mark I, designed and built at Manchester University in England [Siewiorek, et al. 1982]. It ran its first program in 1948, executing it out of its 96 word memory. It executed an instruction in 1.2 milliseconds, which must have seemed phenomenal at the time. Using today's popular "MIPS" terminology (millions of instructions per second), it would be rated at .00083 MIPS. -
An Overview of Parallel Computing
An Overview of Parallel Computing Marc Moreno Maza University of Western Ontario, London, Ontario (Canada) Chengdu HPC Summer School 20-24 July 2015 Plan 1 Hardware 2 Types of Parallelism 3 Concurrency Platforms: Three Examples Cilk CUDA MPI Hardware Plan 1 Hardware 2 Types of Parallelism 3 Concurrency Platforms: Three Examples Cilk CUDA MPI Hardware von Neumann Architecture In 1945, the Hungarian mathematician John von Neumann proposed the above organization for hardware computers. The Control Unit fetches instructions/data from memory, decodes the instructions and then sequentially coordinates operations to accomplish the programmed task. The Arithmetic Unit performs basic arithmetic operation, while Input/Output is the interface to the human operator. Hardware von Neumann Architecture The Pentium Family. Hardware Parallel computer hardware Most computers today (including tablets, smartphones, etc.) are equipped with several processing units (control+arithmetic units). Various characteristics determine the types of computations: shared memory vs distributed memory, single-core processors vs multicore processors, data-centric parallelism vs task-centric parallelism. Historically, shared memory machines have been classified as UMA and NUMA, based upon memory access times. Hardware Uniform memory access (UMA) Identical processors, equal access and access times to memory. In the presence of cache memories, cache coherency is accomplished at the hardware level: if one processor updates a location in shared memory, then all the other processors know about the update. UMA architectures were first represented by Symmetric Multiprocessor (SMP) machines. Multicore processors follow the same architecture and, in addition, integrate the cores onto a single circuit die. Hardware Non-uniform memory access (NUMA) Often made by physically linking two or more SMPs (or multicore processors).