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Computer Performance: Components, Perspectives, and Calculations

This lecture covers the various components that affect computer performance, different perspectives on performance, and how to calculate performance. Topics include processor and memory systems, I/O operations, algorithm and data structure, programming language and architecture, and levels of program code.

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Computer Performance: Components, Perspectives, and Calculations

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  1. Lecture 1.2 Computer Performance

  2. Objectives • Understand that various components that affect the performance • Realize that performance can be defined based on different perspectives • Perform simple calculations of the performance of computers Chapter 1 — Computer Abstractions and Technology — 2

  3. Coverage • Textbook Chapters 1.3, 1.6 Chapter 1 — Computer Abstractions and Technology — 3

  4. What Affect Performance? • Processor and memory system • Determine how fast instructions are executed • I/O system (including OS) • Determines how fast I/O operations are executed • Algorithm and data structure • Determines number of operations executed • Programming language, compiler, architecture • Determine number of machine instructions executed per operation Chapter 1 — Computer Abstractions and Technology — 4

  5. Below Your Program • Application software • Written in high-level languages • 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 §1.3 Below Your Program Chapter 1 — Computer Abstractions and Technology — 5

  6. 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 — 6

  7. Defining Performance §1.6 Performance • Which airplane has the best performance? Chapter 1 — Computer Abstractions and Technology — 7

  8. Relative Performance • Define Performance = 1/Execution Time • “X is n times faster than Y” • Example: time taken to run a program • 10s on A, 15s on B • Execution TimeB / Execution TimeA= 15s / 10s = 1.5 • So A is 1.5 times faster than B Chapter 1 — Computer Abstractions and Technology — 8

  9. 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 • Excludes 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 — 9

  10. CPU Clocking • Operation of digital hardware governed by a constant-rate clock Clock period Clock (cycles) Data transferand computation Update state • Clock period: duration of a clock cycle • e.g., 250ps = 0.25ns = 250×10–12s • Clock frequency (rate): cycles per second • e.g., 4.0GHz = 4000MHz = 4.0×109Hz Chapter 1 — Computer Abstractions and Technology — 10

  11. CPU Time • Performance improved by • Reducing number of clock cycles • Increasing clock rate Chapter 1 — Computer Abstractions and Technology — 11

  12. 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? Chapter 1 — Computer Abstractions and Technology — 12

  13. Instruction Count and CPI • Instruction Count for a program • Determined by program, ISA and compiler • Average cycles per instruction (CPI) • Determined by CPU hardware • Different instructions have different CPI • Average CPI affected by instruction mix Chapter 1 — Computer Abstractions and Technology — 13

  14. CPI Example • Computer A: Cycle Time = 250ps, CPI = 2.0 • Computer B: Cycle Time = 500ps, CPI = 1.2 • Same ISA (i.e., same computer architecture) • Implies the same number of instructions • Which is faster, and by how much? A is faster… …by this much Chapter 1 — Computer Abstractions and Technology — 14

  15. CPI Example • Alternative compiled code sequences using instructions in classes A, B, C • Program 1: IC = 5 • Clock Cycles= 2×1 + 1×2 + 2×3= 10 • Avg. CPI = 10/5 = 2.0 • Program 2: IC = 6 • Clock Cycles= 4×1 + 1×2 + 1×3= 9 • Avg. CPI = 9/6 = 1.5 Chapter 1 — Computer Abstractions and Technology — 15

  16. CPI in More Detail • Different instruction classes take different numbers of cycles • Weighted average CPI Chapter 1 — Computer Abstractions and Technology — 16

  17. Performance Summary • Performance depends on • Algorithm: affects IC, possibly CPI • Programming language: affects IC, CPI • Compiler: affects IC, CPI • Instruction set architecture: affects IC, CPI, Tc The BIG Picture Chapter 1 — Computer Abstractions and Technology — 17

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