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Chapter Chapter 1 Computer Abstractions and Technology 1.1 Introduction The Computer Revolution Progress in computer technology Underpinned by Moores Law Makes novel applications feasible Computers in automobiles Cell


  1. Chapter Chapter 1 Computer Abstractions and Technology

  2. §1.1 Introduction The Computer Revolution  Progress in computer technology  Underpinned by Moore’s Law  Makes novel applications feasible  Computers in automobiles  Cell phones  Human genome project  World Wide Web  Search Engines  Computers are pervasive Chapter 1 — Computer Abstractions and Technology — 2

  3. Classes of Computers  Desktop computers  General purpose, variety of software  Subject to cost/performance tradeoff  Server computers  Network based  High capacity, performance, reliability  Range from small servers to building sized  Embedded computers  Hidden as components of systems  Stringent power/performance/cost constraints Chapter 1 — Computer Abstractions and Technology — 3

  4. The Processor Market Chapter 1 — Computer Abstractions and Technology — 4

  5. What You Will Learn  How programs are translated into the machine language  And how the hardware executes them  The hardware/software interface  What determines program performance  And how it can be improved  How hardware designers improve performance  What is parallel processing Chapter 1 — Computer Abstractions and Technology — 5

  6. Understanding Performance  Algorithm  Determines number of operations executed  Programming language, compiler, architecture  Determine number of machine instructions executed per operation  Processor and memory system  Determine how fast instructions are executed  I/O system (including OS)  Determines how fast I/O operations are executed Chapter 1 — Computer Abstractions and Technology — 6

  7. §1.2 Below Your Program Below Your Program  Application software  Written in high-level language  System software  Compiler: translates HLL code to machine code  Operating System: service code  Handling input/output  Managing memory and storage  Scheduling tasks & sharing resources  Hardware  Processor, memory, I/O controllers Chapter 1 — Computer Abstractions and Technology — 7

  8. Levels of Program Code  High-level language  Level of abstraction closer to problem domain  Provides for productivity and portability  Assembly language  Textual representation of instructions  Hardware representation  Binary digits (bits)  Encoded instructions and data Chapter 1 — Computer Abstractions and Technology — 8

  9. §1.3 Under the Covers Components of a Computer The he B BIG IG P Pictur icture  Same components for all kinds of computer  Desktop, server, embedded  Input/output includes  User-interface devices  Display, keyboard, mouse  Storage devices  Hard disk, CD/DVD, flash  Network adapters  For communicating with other computers Chapter 1 — Computer Abstractions and Technology — 9

  10. Anatomy of a Computer Output device Network cable Input Input device device Chapter 1 — Computer Abstractions and Technology — 10

  11. Anatomy of a Mouse  Optical mouse  LED illuminates desktop  Small low-res camera  Basic image processor  Looks for x, y movement  Buttons & wheel  Supersedes roller-ball mechanical mouse Chapter 1 — Computer Abstractions and Technology — 11

  12. Through the Looking Glass  LCD screen: picture elements (pixels)  Mirrors content of frame buffer memory Chapter 1 — Computer Abstractions and Technology — 12

  13. Opening the Box Chapter 1 — Computer Abstractions and Technology — 13

  14. Inside the Processor (CPU)  Datapath: performs operations on data  Control: sequences datapath, memory, ...  Cache memory  Small fast SRAM memory for immediate access to data Chapter 1 — Computer Abstractions and Technology — 14

  15. Inside the Processor  AMD Barcelona: 4 processor cores Chapter 1 — Computer Abstractions and Technology — 15

  16. Abstractions The he B BIG IG P Pictur icture  Abstraction helps us deal with complexity  Hide lower-level detail  Instruction set architecture (ISA)  The hardware/software interface  Application binary interface  The ISA plus system software interface  Implementation  The details underlying and interface Chapter 1 — Computer Abstractions and Technology — 16

  17. A Safe Place for Data  Volatile main memory  Loses instructions and data when power off  Non-volatile secondary memory  Magnetic disk  Flash memory  Optical disk (CDROM, DVD) Chapter 1 — Computer Abstractions and Technology — 17

  18. Networks  Communication and resource sharing  Local area network (LAN): Ethernet  Within a building  Wide area network (WAN: the Internet  Wireless network: WiFi, Bluetooth Chapter 1 — Computer Abstractions and Technology — 18

  19. Technology Trends  Electronics technology continues to evolve  Increased capacity and performance DRAM capacity  Reduced cost Year Technology Relative performance/cost 1951 Vacuum tube 1 1965 Transistor 35 1975 Integrated circuit (IC) 900 1995 Very large scale IC (VLSI) 2,400,000 2005 Ultra large scale IC 6,200,000,000 Chapter 1 — Computer Abstractions and Technology — 19

  20. §1.4 Performance Defining Performance  Which airplane has the best performance? Boeing 777 Boeing 777 Boeing 747 Boeing 747 BAC/Sud BAC/Sud Concorde Concorde Douglas Douglas DC- DC-8-50 8-50 0 2000 4000 6000 8000 10000 0 100 200 300 400 500 Cruising Range (miles) Passenger Capacity Boeing 777 Boeing 777 Boeing 747 Boeing 747 BAC/Sud BAC/Sud Concorde Concorde Douglas Douglas DC- DC-8-50 8-50 0 500 1000 1500 0 100000 200000 300000 400000 Cruising Speed (mph) Passengers x mph Chapter 1 — Computer Abstractions and Technology — 20

  21. Response Time and Throughput  Response time  How long it takes to do a task  Throughput  Total work done per unit time  e.g., tasks/transactions/… per hour  How are response time and throughput affected by  Replacing the processor with a faster version?  Adding more processors?  We’ll focus on response time for now… Chapter 1 — Computer Abstractions and Technology — 21

  22. Relative Performance  Define Performance = 1/Execution Time  “X is n time faster than Y” Performanc e Performanc e X Y   Execution time Execution time n Y X  Example: time taken to run a program  10s on A, 15s on B  Execution Time B / Execution Time A = 15s / 10s = 1.5  So A is 1.5 times faster than B Chapter 1 — Computer Abstractions and Technology — 22

  23. Measuring Execution Time  Elapsed time  Total response time, including all aspects  Processing, I/O, OS overhead, idle time  Determines system performance  CPU time  Time spent processing a given job  Discounts I/O time, other jobs’ shares  Comprises user CPU time and system CPU time  Different programs are affected differently by CPU and system performance Chapter 1 — Computer Abstractions and Technology — 23

  24. CPU Clocking  Operation of digital hardware governed by a constant-rate clock Clock period Clock (cycles) Data transfer and computation Update state  Clock period: duration of a clock cycle  e.g., 250ps = 0.25ns = 250×10 – 12 s  Clock frequency (rate): cycles per second  e.g., 4.0GHz = 4000MHz = 4.0×10 9 Hz Chapter 1 — Computer Abstractions and Technology — 24

  25. CPU Time   CPU Time CPU Clock Cycles Clock Cycle Time CPU Clock Cycles  Clock Rate  Performance improved by  Reducing number of clock cycles  Increasing clock rate  Hardware designer must often trade off clock rate against cycle count Chapter 1 — Computer Abstractions and Technology — 25

  26. CPU Time Example  Computer A: 2GHz clock, 10s CPU time  Designing Computer B  Aim for 6s CPU time  Can do faster clock, but causes 1.2 × clock cycles  How fast must Computer B clock be?  Clock Cycles 1.2 Clock Cycles   B A Clock Rate B CPU Time 6s B   Clock Cycles CPU Time Clock Rate A A A     9 10s 2GHz 20 10    9 9 1.2 20 10 24 10    Clock Rate 4GHz B 6s 6s Chapter 1 — Computer Abstractions and Technology — 26

  27. Instruction Count and CPI   Clock Cycles Instructio n Count Cycles per Instructio n    CPU Time Instructio n Count CPI Clock Cycle Time  Instructio n Count CPI  Clock Rate  Instruction Count for a program  Determined by program, ISA and compiler  Average cycles per instruction  Determined by CPU hardware  If different instructions have different CPI  Average CPI affected by instruction mix Chapter 1 — Computer Abstractions and Technology — 27

  28. CPI Example  Computer A: Cycle Time = 250ps, CPI = 2.0  Computer B: Cycle Time = 500ps, CPI = 1.2  Same ISA  Which is faster, and by how much?    CPU Time Instructio n Count CPI Cycle Time A A A      I 2.0 250ps I 500ps A is faster…    CPU Time Instructio n Count CPI Cycle Time B B B      I 1.2 500ps I 600ps  CPU Time I 600ps B   1.2 …by this much  CPU Time I 500ps A Chapter 1 — Computer Abstractions and Technology — 28

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