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Clojure high performance programming : become an expert at writing fast and high performant code in Clojure 1.7.0 /
Become an expert at writing fast and high performant code in Clojure 1.7.0 About This Book Enhance code performance by using appropriate Clojure features Improve the efficiency of applications and plan their deployment A hands-on guide to designing Clojure programs to get the best performance Who Th...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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| Edición: | Second edition. |
| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Performance by Design; Use case classification; The user-facing software; Computational and data-processing tasks; A CPU bound computation; A memory bound task; A cache bound task; An input/output bound task; Online transaction processing; Online analytical processing; Batch processing; A structured approach to the performance; The performance vocabulary; Latency; Throughput; Bandwidth; Baseline and benchmark; Profiling; Performance optimization
- Concurrency and parallelismResource utilization; Workload; The latency numbers that every programmer should know; Summary; Chapter 2: Clojure Abstractions; Non-numeric scalars and interning; Identity, value, and epochal time model; Variables and mutation; Collection types; Persistent data structures; Constructing lesser-used data structures; Complexity guarantee; O(<7) implies near constant time; The concatenation of persistent data structures; Sequences and laziness; Laziness; Laziness in data structure operations; Constructing lazy sequences; Transducers; Performance characteristics
- TransientsFast repetition; Performance miscellanea; Disabling assertions in production; Destructuring; Recursion and tail-call optimization (TCO); Premature end of iteration; Multimethods versus protocols; Inlining; Summary; Chapter 3: Leaning on Java; Inspecting the equivalent Java source for Clojure code; Creating a new project; Compiling the Clojure sources into Java bytecode; Decompiling the .class files into Java source; Compiling the Clojure source without locals clearing; Numerics, boxing, and primitives; Arrays; Reflection and type hints; An array of primitives; Primitives
- Macros and metadataString concatenation; Miscellaneous; Using array/numeric libraries for efficiency; HipHip; primitive-math; Detecting boxed math; Resorting to Java and native code; Proteus
- mutable locals in Clojure; Summary; Chapter 4: Host Performance; The hardware; Processors; Branch prediction; Instruction scheduling; Threads and cores; Memory systems; Cache; Interconnect; Storage and networking; The Java Virtual Machine; The just-in-time compiler; Memory organization; HotSpot heap and garbage collection; Measuring memory (heap/stack) usage; Determining program workload type
- Tackling memory inefficiencyMeasuring latency with Criterium; Criterium and Leiningen; Summary; Chapter 5: Concurrency; Low-level concurrency; Hardware memory barrier (fence) instructions; Java support and the Clojure equivalent; Atomic updates and state; Atomic updates in Java; Clojure's support for atomic updates; Faster writes with atom striping; Asynchronous agents and state; Asynchrony, queueing, and error handling; Why you should use agents; Nesting; Coordinated transactional ref and state; Ref characteristics; Ref history and in-transaction deref operations