Von dem Buch Seven Concurrency Models In Seven Weeks haben wir 3 gleiche oder sehr ähnliche Ausgaben identifiziert!
Falls Sie nur an einem bestimmten Exempar interessiert sind, können Sie aus der folgenden Liste jenes wählen, an dem Sie interessiert sind:
100%: Paul Butcher: Seven Concurrency Models In Seven Weeks (ISBN: 9781937785659) 2014, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
100%: Paul Butcher: Seven Concurrency Models in Seven Weeks: When Threads Unravel Author (ISBN: 9781680504668) Pragmatic Bookshelf, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Butcher, Paul: Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers) (ISBN: 0884679514811) 2014, O'Reilly UK Ltd., Taschenbuch.Nur diese Ausgabe anzeigen…
Seven Concurrency Models In Seven Weeks - 13 Angebote vergleichen
| Preise | 2017 | 2019 | 2020 |
|---|---|---|---|
| Schnitt | € 24,33 | € 51,52 | € 33,29 |
| Nachfrage |
1
Seven Concurrency Models in Seven Weeks (2014)
~EN PB NWISBN: 9781937785659 bzw. 1937785653, vermutlich in Englisch, Pragmatic Programmers, Taschenbuch, neu.
Lieferung aus: Deutschland, Lieferbar in 1 - 2 Wochen.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence. What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter. Taschenbuch, 18.07.2014.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence. What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter. Taschenbuch, 18.07.2014.
2
Symbolbild
Seven Concurrency Models in Seven Weeks - When Threads Unravel
~EN NW EB DLISBN: 9781680504668 bzw. 1680504665, vermutlich in Englisch, Pragmatic Bookshelf, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Seven Concurrency Models in Seven Weeks: Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer`s GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code`s performance, scalability, and resilience. You`ll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You`ll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You`ll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you`ll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on \*nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter. Englisch, Ebook.
Seven Concurrency Models in Seven Weeks: Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer`s GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code`s performance, scalability, and resilience. You`ll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You`ll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You`ll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you`ll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on \*nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter. Englisch, Ebook.
3
Seven Concurrency Models in Seven Weeks: When Threads Unravel Paul Butcher Author
~EN NW EB DLISBN: 9781680504668 bzw. 1680504665, vermutlich in Englisch, Pragmatic Bookshelf, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.
4
Seven Concurrency Models in Seven Weeks
~EN NW ABISBN: 9781937785659 bzw. 1937785653, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed.With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.
Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed.With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.
5
Symbolbild
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers)
~EN USISBN: 9781937785659 bzw. 1937785653, vermutlich in Englisch, Pragmatic Bookshelf, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: AUT.
Von Händler/Antiquariat, Better World Books.
Pragmatic Bookshelf. Used - Good. Shows some signs of wear, and may have some markings on the inside.
Von Händler/Antiquariat, Better World Books.
Pragmatic Bookshelf. Used - Good. Shows some signs of wear, and may have some markings on the inside.
6
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers) (2014)
PB USEAN: 0884679514811, Sprache unbekannt, 296 Seiten, O'Reilly UK Ltd. Taschenbuch, gebraucht.
Neu ab: 25,70 € (8 Angebote)
Gebraucht ab: 16,87 € (2 Angebote)
Zu den weiteren 10 Angeboten bei Amazon.de
Lieferung aus: Deutschland, Auf Lager. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, MEDIMOPS.
O'Reilly UK Ltd. Taschenbuch, Publiziert: 2014-07-18T00:00:01Z, Produktgruppe: Book, Hersteller-Nr: black & white illustrations, Verkaufsrang: 2899.
Von Händler/Antiquariat, MEDIMOPS.
O'Reilly UK Ltd. Taschenbuch, Publiziert: 2014-07-18T00:00:01Z, Produktgruppe: Book, Hersteller-Nr: black & white illustrations, Verkaufsrang: 2899.
7
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers) (2014)
PB NWEAN: 0884679514811, Sprache unbekannt, 296 Seiten, O'Reilly UK Ltd. Taschenbuch, neu.
Neu ab: 25,70 € (8 Angebote)
Gebraucht ab: 16,87 € (2 Angebote)
Zu den weiteren 10 Angeboten bei Amazon.de
Lieferung aus: Deutschland, Auf Lager. Lieferung von Amazon, Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
O'Reilly UK Ltd. Taschenbuch, Publiziert: 2014-07-18T00:00:01Z, Produktgruppe: Book, Hersteller-Nr: black & white illustrations, Verkaufsrang: 2899.
Von Händler/Antiquariat, Amazon.de.
O'Reilly UK Ltd. Taschenbuch, Publiziert: 2014-07-18T00:00:01Z, Produktgruppe: Book, Hersteller-Nr: black & white illustrations, Verkaufsrang: 2899.
9
Seven Concurrency Models in Seven Weeks: When Threads Unravel
EN NW EBISBN: 9781680504668 bzw. 1680504665, in Englisch, Pragmatic Bookshelf, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Symbolbild
Seven Concurrency Models in Seven Weeks: When Threads Unravel (the Pragmatic Programmers) (2014)
~EN PB USISBN: 9781937785659 bzw. 1937785653, vermutlich in Englisch, Pragmatic Bookshelf, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Versandgebiet: DOM.
Von Händler/Antiquariat, More Books, FL, MIAMI, [RE:3].
100% Brand New! Paperback.
Von Händler/Antiquariat, More Books, FL, MIAMI, [RE:3].
100% Brand New! Paperback.
Lade…