eBook
Haskell High Performance Programming : Write Haskell Programs That Are Robust and Fast Enough to Stand up to the Needs of Today
| Τίτλος: | Haskell High Performance Programming : Write Haskell Programs That Are Robust and Fast Enough to Stand up to the Needs of Today |
|---|---|
| Περιγραφή: | Boost the performance of your Haskell applications using optimization, concurrency, and parallel programmingKey Features[•] 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 codeBook DescriptionHaskell, 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.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 HaskellWho this book is forTo 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. |
| Συγγραφείς: | Samuli Thomasson |
| Resource Type: | eBook. |
| Θέματα: | Functional programming (Computer science), Haskell (Computer program language) |
| Categories: | COMPUTERS / Programming / General, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Languages / Java |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 1361384 RelevancyScore: 925 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 924.640747070313 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Haskell High Performance Programming : Write Haskell Programs That Are Robust and Fast Enough to Stand up to the Needs of Today – Name: Abstract Label: Description Group: Ab Data: Boost the performance of your Haskell applications using optimization, concurrency, and parallel programmingKey Features[•] 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 codeBook DescriptionHaskell, 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.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 HaskellWho this book is forTo 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Samuli+Thomasson%22">Samuli Thomasson</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Functional+programming+%28Computer+science%29%22">Functional programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Haskell+%28Computer+program+language%29%22">Haskell (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+General%22">COMPUTERS / Programming / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+General%22">COMPUTERS / Software Development & Engineering / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+Java%22">COMPUTERS / Languages / Java</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1361384 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Functional programming (Computer science) Type: general – SubjectFull: Haskell (Computer program language) Type: general Titles: – TitleFull: Haskell High Performance Programming : Write Haskell Programs That Are Robust and Fast Enough to Stand up to the Needs of Today Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Samuli Thomasson – PersonEntity: Name: NameFull: Samuli Thomasson IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 – D: 17 M: 11 Type: profile Y: 2016 Identifiers: – Type: isbn-print Value: 9781786464217 – Type: isbn-electronic Value: 9781786466914 Titles: – TitleFull: Haskell High Performance Programming : Write Haskell Programs That Are Robust and Fast Enough to Stand up to the Needs of Today Type: main |
| ResultId | 1 |