JVM Performance Engineering

Inside OpenJDK and the HotSpot Java Virtual Machine

AvMonica Beckwith

Häftad, Engelska, 2024

Del i serien Developer's Library

358 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

Beskrivning

Peek Under the Hood of the Complex but Fascinating Java Virtual Machine

Dive into the intricacies of JVM performance with JVM Performance Engineering, the essential guide for seasoned Java developers eager to demystify the JVM. Focusing on the OpenJDK HotSpot VM, this book provides insights into cutting-edge Java performance techniques and trends.

Distinguished Java Champion Monica Beckwith blends theoretical insights and practical tools--encompassing case studies, applications, use-case diagrams, and process flow charts--to demonstrate diagnostic techniques, performance methodologies, and optimizations.

This manual is a portal to excelling in Java performance engineering, offering Java developers, system architects, and software engineers the tools to foster career advancement and success with Java applications.

Examine the evolving Java type system, from lambda expressions to the advent of records and sealed classes, and explore how Project Valhalla aims to further optimize performance
Leverage the Unified JVM Logging Interface for enhanced diagnostics, monitoring, and performance testing, featuring the novel asynchronous logging mechanism
Grasp the intricate relationship between JVM and hardware, mastering end-to-end Java performance optimization techniques
Gain deep insights into JVM's garbage collection and memory management, examining the pivotal Garbage First and Z GCs--and how they are shaping the Java performance landscape
Explore efficient deployment strategies and techniques to accelerate JVM readiness, leveraging class data sharing, ahead-of-time compilation, and innovations like GraalVM and upcoming Project Leyden
Embark on an exploration of the synergy between the JVM and exotic hardware like GPUs and FPGAs and revel in the potential of Project Panama and TornadoVM in high-computational scenarios such as machine learning and data analytics
Look ahead to the future of Java concurrency with Virtual Threads, and investigate runtime optimizations of string handling and concurrency, propelling Java forward

Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside for details.

Produktinformation

Utgivningsdatum:2024-05-15
Mått:182 x 178 x 24 mm
Vikt:654 g
Format:Häftad
Språk:Engelska
Serie:Developer's Library
Antal sidor:400
Upplaga:1
Förlag:Pearson Education
ISBN:9780134659879

Utforska kategorier

Programspråk inom Data och IT

Mer om författaren

Monica Beckwith (Austin, TX Area) is a Java Champion and JavaOne Rock Star who has made significant performance contributions to the Java HotSpot VM. Prior to joining Microsoft as Senior Performance Engineer, she served as JVM Performance Architect at Arm, and led Oracle's Garbage First Garbage Collector performance team. She is co-author of Java Performance Companion.

Innehållsförteckning

Preface xvAcknowledgments xxiiiAbout the Author xxviiChapter 1: The Performance Evolution of Java: The Language and the Virtual Machine 1A New Ecosystem Is Born 2A Few Pages from History 2Understanding Java HotSpot VM and Its Compilation Strategies 3HotSpot Garbage Collector: Memory Management Unit 13The Evolution of the Java Programming Language and Its Ecosystem: A Closer Look 18Embracing Evolution for Enhanced Performance 42Chapter 2: Performance Implications of Java's Type System Evolution 43Java's Primitive Types and Literals Prior to J2SE 5.0 44Java's Reference Types Prior to J2SE 5.0 45Java's Type System Evolution from J2SE 5.0 until Java SE 8 49Java's Type System Evolution: Java 9 and Java 10 52Java's Type System Evolution: Java 11 to Java 17 55Beyond Java 17: Project Valhalla 58Conclusion 68Chapter 3: From Monolithic to Modular Java: A Retrospective and Ongoing Evolution 69Introduction 69Understanding the Java Platform Module System 70From Monolithic to Modular: The Evolution of the JDK 78Continuing the Evolution: Modular JDK in JDK 11 and Beyond 78Implementing Modular Services with JDK 17 78JAR Hell Versioning Problem and Jigsaw Layers 83Open Services Gateway Initiative 91Introduction to Jdeps, Jlink, Jdeprscan, and Jmod 93Conclusion 96Chapter 4: The Unified Java Virtual Machine Logging Interface 99The Need for Unified Logging 99Unification and Infrastructure 100Tags in the Unified Logging System 101Diving into Levels, Outputs, and Decorators 103Practical Examples of Using the Unified Logging System 107Optimizing and Managing the Unified Logging System 109Asynchronous Logging and the Unified Logging System 110Understanding the Enhancements in JDK 11 and JDK 17 113Conclusion 113Chapter 5: End-to-End Java Performance Optimization: Engineering Techniques and Micro-benchmarking with JMH 115Introduction 115Performance Engineering: A Central Pillar of Software Engineering 116Metrics for Measuring Java Performance 118The Role of Hardware in Performance 128Performance Engineering Methodology: A Dynamic and Detailed Approach 145The Importance of Performance Benchmarking 158Conclusion 175Chapter 6: Advanced Memory Management and Garbage Collection in OpenJDK 177Introduction 177Overview of Garbage Collection in Java 178Thread-Local Allocation Buffers and Promotion-Local Allocation Buffers 179Optimizing Memory Access with NUMA-Aware Garbage Collection 181Exploring Garbage Collection Improvements 183Future Trends in Garbage Collection 210Practical Tips for Evaluating GC Performance 212Evaluating GC Performance in Various Workloads 214Live Data Set Pressure 216Chapter 7: Runtime Performance Optimizations: A Focus on Strings, Locks, and Beyond 219Introduction 219String Optimizations 220Enhanced Multithreading Performance: Java Thread Synchronization 236Transitioning from the Thread-per-Task Model to More Scalable Models 259Conclusion 270Chapter 8: Accelerating Time to Steady State with OpenJDK HotSpot VM 273Introduction 273JVM Start-up and Warm-up Optimization Techniques 274Decoding Time to Steady State in Java Applications 274Managing State at Start-up and Ramp-up 278GraalVM: Revolutionizing Java's Time to Steady State 290Emerging Technologies: CRIU and Project CRaC for Checkpoint/Restore Functionality 292Start-up and Ramp-up Optimization in Serverless and Other Environments 295Boosting Warm-up Performance with OpenJDK HotSpot VM 300Conclusion 306Chapter 9: Harnessing Exotic Hardware: The Future of JVM Performance Engineering 307Introduction to Exotic Hardware and the JVM 307Exotic Hardware in the Cloud 309The Role of Language Design and Toolchains 312Case Studies 313Envisioning the Future of JVM and Project Panama 333Concluding Thoughts: The Future of JVM Performance Engineering 336Index 337