《并行程序设计导论》 第一章PPT
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A little physics lesson
Smaller transistors = faster processors. Faster processors = increased power consumption. Increased power consumption = increased heat. Increased heat = unreliable processors.
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Approaches to the serial problem
Up to now, performance increases have been attributable to increasing density of transistors.
But there are inherent problems.
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Roadmap
Why we need ever-increasing performance. Why we’re building parallel systems. Why we need to write parallel programs. How do we write parallel programs? What we’ll be doing. Concurrent, parallel, distributed!
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Changing times
From 1986 – 2002, microprocessors were speeding like a rocket, increasing in performance an average of 50% per year.
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Protein folding
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Drug discovery
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Energy research
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Data analysis
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Why we’re building parallel systems
An Introduction to Parallel Programming
Peter Pacheco
Chapter 1
Why Parallel Computing?
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# Chapter Subtitle
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Now it’s up to the programmers
Adding more processors doesn’t help much if programmers aren’t aware of them… … or don’t know how to use them. Serial programs don’t benefit from this approach (in most cases).
Since then, it’s dropped to about 20% increase per year.
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An intelligent solution
Instead of designing and building faster microprocessors, put multiple processors on a single integrated circuit.
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Solution
wenku.baidu.com
Move away from single-core systems to multicore processors. “core” = central processing unit (CPU)
Introducing parallelism!!!
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Why we need to write parallel programs
Running multiple instances of a serial program often isn’t very useful. Think of running multiple instances of your favorite game. What you really want is for it to run faster.
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Why we need ever-increasing performance
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Climate modeling