Haskell High Performance Programming Ebook Tooltip Ebooks kunnen worden gelezen op uw computer en op daarvoor geschikte e-readers.
Afbeeldingen
Sla de afbeeldingen overArtikel vergelijken
- Engels
- E-book
- 9781786466914
- 26 september 2016
- Adobe ePub
Samenvatting
Boost the performance of your Haskell applications using optimization, concurrency, and parallel programming
About This Book- Explore the benefits of lazy evaluation, compiler features, and tools and libraries designed for high performance
- Write fast programs at extremely high levels of abstraction
- Work through practical examples that will help you address the challenges of writing efficient code
To get the most out of this book, you need to have a working knowledge of reading and writing basic Haskell. No knowledge of performance, optimization, or concurrency is required.
What You Will Learn- Program idiomatic Haskell that's also surprisingly efficient
- Improve performance of your code with data parallelism, inlining, and strictness annotations
- Profile your programs to identify space leaks and missed opportunities for optimization
- Find out how to choose the most efficient data and control structures
- Optimize the Glasgow Haskell Compiler and runtime system for specific programs
- See how to smoothly drop to lower abstractions wherever necessary
- Execute programming for the GPU with Accelerate
- Implement programming to easily scale to the cloud with Cloud Haskell
Haskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs.
We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We'll demonstrate the benefits of running multithreaded and concurrent applications. Next we'll guide you through various profiling tools that will help you identify performance issues in your program. We'll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples.
By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.
Style and approachThis easy-to-follow guide teaches new practices and techniques to optimize your code, and then moves towards more advanced ways to effectively write efficient Haskell code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.
Productspecificaties
Inhoud
- Taal
- en
- Bindwijze
- E-book
- Oorspronkelijke releasedatum
- 26 september 2016
- Ebook Formaat
- Adobe ePub
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Samuli Thomasson
- Hoofduitgeverij
- Packt Publishing
Lees mogelijkheden
- Lees dit ebook op
- Android (smartphone en tablet) | Kobo e-reader | Desktop (Mac en Windows) | iOS (smartphone en tablet) | Windows (smartphone en tablet)
Overige kenmerken
- Editie
- 1
- Studieboek
- Nee
- Verpakking hoogte
- 21 mm
- Verpakkingsgewicht
- 700 g
EAN
- EAN
- 9781786466914
Je vindt dit artikel in
- Boek, ebook of luisterboek?
- Ebook
- Taal
- Engels
- Beschikbaarheid
- Leverbaar
- Beschikbaar in Kobo Plus
- Beschikbaar in Kobo Plus
Kies gewenste uitvoering
Prijsinformatie en bestellen
De prijs van dit product is 38 euro en 99 cent.- E-book is direct beschikbaar na aankoop
- E-books lezen is voordelig
- Dag en nacht klantenservice
- Veilig betalen
Rapporteer dit artikel
Je wilt melding doen van illegale inhoud over dit artikel:
- Ik wil melding doen als klant
- Ik wil melding doen als autoriteit of trusted flagger
- Ik wil melding doen als partner
- Ik wil melding doen als merkhouder
Geen klant, autoriteit, trusted flagger, merkhouder of partner? Gebruik dan onderstaande link om melding te doen.