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Practical concurrent Haskell [electronic resource] : with big data applications

자료유형

E-Book(소장)

개인저자

Nita, Stefania Loredana. Mihailescu, Marius.

서명 / 저자사항

Practical concurrent Haskell [electronic resource] : with big data applications / Stefania Loredana Nita, Marius Mihailescu.

발행사항

Berkeley, CA : Apress, c2017.

형태사항

1 online resource (xv, 266 p.) : ill. (some col.).

ISBN

9781484227800 9781484227817 (e-book)

요약

Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.

일반주기

Title from e-Book title page.

서지주기

Includes bibliographical references and index.

이용가능한 다른형태자료

Issued also as a book.

일반주제명

Computer science.

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100	1	▼a Nita, Stefania Loredana.
245	1 0	▼a Practical concurrent Haskell ▼h [electronic resource] : ▼b with big data applications / ▼c Stefania Loredana Nita, Marius Mihailescu.
260		▼a Berkeley, CA : ▼b Apress, ▼c c2017.
300		▼a 1 online resource (xv, 266 p.) : ▼b ill. (some col.).
500		▼a Title from e-Book title page.
504		▼a Includes bibliographical references and index.
520		▼a Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.
530		▼a Issued also as a book.
538		▼a Mode of access: World Wide Web.
650	0	▼a Computer science.
700	1	▼a Mihailescu, Marius.
856	4 0	▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-1-4842-2781-7
945		▼a KLPA
991		▼a E-Book(소장)

소장정보

중앙도서관

No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 005.13	등록번호 E14018918	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

Practical concurrent Haskell [electronic resource] : with big data applications

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