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H IGH - LEVEL M ULTITHREADED P ROGRAMMING [P ART I] Primož Gabrijelčič
![H IGH - LEVEL M ULTITHREADED P ROGRAMMING [P ART I] Primož Gabrijelčič](http://images.slideplayer.com./8/2308549/slides/slide_1.jpg "H IGH - LEVEL M ULTITHREADED P ROGRAMMING [P ART I] Primož Gabrijelčič")
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B ACKGROUND I NFORMATION
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About Me Primož Gabrijelčič Programmer, consultant, writer, speaker – thedelphigeek.com – www.glagolite.si/delphi Working with Delphi since Delphi 1 Hacking multithreaded code since 1999
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About OmniThreadLibrary „VCL for multithreading“ Delphi 2007 – XE3[4] Open source – OpenBSD license – www.omnithreadlibrary.com – omnithreadlibrary.googlecode.com Win32/Win64
![About OmniThreadLibrary „VCL for multithreading Delphi 2007 – XE3[4] Open source – OpenBSD license – – omnithreadlibrary.googlecode.com Win32/Win64](http://images.slideplayer.com./8/2308549/slides/slide_4.jpg "About OmniThreadLibrary „VCL for multithreading Delphi 2007 – XE3[4] Open source – OpenBSD license – – omnithreadlibrary.googlecode.com Win32/Win64")
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About the Webinars Code and video: www.omnithreadlibrary.com/webinars Code = free, video = $10, bundles! 20 free books, courtesy of the De Novo Software, www.denovosoftware.com
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Installation Download the installation package from the Google Code or checkout the SVN repository Add installation folder and its src subfolder to the project search path or Win32/64 library path Add the OtlParallel unit to the uses list
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Documentation Blog tutorials “The book” Presentations Forum Google+: OmniThreadLibrary @TheDelphiGeek: #omnithreadlibrary www.omnithreadlibrary.com
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Why Multithreading? Improve performance Improve responsiveness
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H IGH -L EVEL A BSTRACTIONS
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Why? Designing parallel solutions is hard Writing multithreaded code is hard Testing multithreaded applications is hard Debugging multithreaded code is pure …
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OTL to the Rescue! Well-tested components … packed in reusable classes … with high-level parallel programming support.
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High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline
![High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline](http://images.slideplayer.com./8/2308549/slides/slide_13.jpg "High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline")
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Which abstraction to use? Consider data flow!
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High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background task and continue
![High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background task and continue](http://images.slideplayer.com./8/2308549/slides/slide_15.jpg "High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background task and continue")
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Async [/Await]
![Async [/Await]](http://images.slideplayer.com./8/2308549/slides/slide_16.jpg "Async [/Await]")
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High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background calculation and retrieve the result
![High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background calculation and retrieve the result](http://images.slideplayer.com./8/2308549/slides/slide_17.jpg "High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start background calculation and retrieve the result")
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Future
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High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start multiple background tasks [and wait]
![High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start multiple background tasks [and wait]](http://images.slideplayer.com./8/2308549/slides/slide_19.jpg "High-Level Abstractions Async [/Await] Future Join ForEach ParallelTask BackgroundWorker ForkJoin Pipeline Start multiple background tasks [and wait]")
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Join
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P ARTING N OTES
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Keep in Mind Don’t parallelize everything Rethink the algorithm Data flow dictates the abstraction Measure the improvements Test, test and test
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Code and Video www.omnithreadlibrary.com/webinars
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