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Oracle JRockit [[electronic resource] ] : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren
| Oracle JRockit [[electronic resource] ] : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren |
| Autore | Hirt Marcus |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Enterprise, 2010 |
| Descrizione fisica | 1 online resource (588 p.) |
| Disciplina |
005.1
005.133 |
| Altri autori (Persone) | LagergrenMarcus |
| Soggetto topico |
Application software - Development
Java (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-62409-1
9786612624094 1-84719-807-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; Foreword; About the Authors; About the Reviewers; Table of Contents; Preface; Chapter 1: Getting Started; Obtaining the JRockit JVM; Migrating to JRockit; Command-line options; System properties; Standardized options; Non-standard options; Changes in behavior; A note on JRockit versioning; Getting help; Summary; Chapter 2: Adaptive Code Generation; Platform independence; The Java Virtual Machine; Stack machine; Bytecode format; Operations and operands; The constant pool; Code generation strategies; Pure bytecode interpretation; Static compilation
Total JIT compilationMixed mode interpretation; Adaptive code generation; Determining ""hotness""; Invocation counters; Software-based thread sampling; Hardware-based sampling; Optimizing a changing program; Inside the JIT compiler; Working with bytecode; Bytecode obfuscation; Bytecode ""optimizers""; Abstract syntax trees; Where to optimize; The JRockit code pipeline; Why JRockit has no bytecode interpreter; Bootstrapping; Runtime code generation; Trampolines; Code generation requests; Optimization requests; On-stack replacement; Bookkeeping; A walkthrough of method generation in JRockit The JRockit IR formatJIT compilation; Generating optimized code; Controlling code generation in JRockit; Command-line flags and directive files; Command-line flags; Directive files; Summary; Chapter 3: Adaptive Memory Management; The concept of automatic memory management; Adaptive memory management; Advantages of automatic memory management; Disadvantages of automatic memory management; Fundamental heap management; Allocating and releasing objects; Fragmentation and compaction; Garbage collection algorithms; Reference counting; Tracing techniques; Mark and sweep; Stop and copy Stopping the worldConservative versus exact collectors; Livemaps; Generational garbage collection; Multi generation nurseries; Write barriers; Throughput versus low latency; Optimizing for throughput; Optimizing for low latency; Garbage collection in JRockit; Old collections; Nursery collections; Permanent generations; Compaction; Speeding it up and making it scale; Thread local allocation; Larger heaps; 32-Bits and the 4-GB Barrier; The 64-bit world; Cache friendliness; Prefetching; Data placement; NUMA; Large pages; Adaptability; Near-real-time garbage collection; Hard and soft real-time JRockit Real TimeDoes the soft real-time approach work?; How does it work?; The Java memory API; Finalizers; References; Weak references; Soft references; Phantom references; Differences in JVM behavior; Pitfalls and false optimizations; Java is not C++; Controlling JRockit memory management; Basic switches; Outputting GC data; Set initial and maximum heap size; Controlling what to optimize for; Specifying a garbage collection strategy; Compressed references; Advanced switches; Summary; Chapter 4: Threads and Synchronization; Fundamental concepts; Hard to debug; Difficult to optimize Latency analysis |
| Record Nr. | UNINA-9910459283503321 |
Hirt Marcus
|
||
| Birmingham, U.K., : Packt Enterprise, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Oracle JRockit [[electronic resource] ] : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren
| Oracle JRockit [[electronic resource] ] : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren |
| Autore | Hirt Marcus |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Enterprise, 2010 |
| Descrizione fisica | 1 online resource (588 p.) |
| Disciplina |
005.1
005.133 |
| Altri autori (Persone) | LagergrenMarcus |
| Soggetto topico |
Application software - Development
Java (Computer program language) |
| ISBN |
1-282-62409-1
9786612624094 1-84719-807-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; Foreword; About the Authors; About the Reviewers; Table of Contents; Preface; Chapter 1: Getting Started; Obtaining the JRockit JVM; Migrating to JRockit; Command-line options; System properties; Standardized options; Non-standard options; Changes in behavior; A note on JRockit versioning; Getting help; Summary; Chapter 2: Adaptive Code Generation; Platform independence; The Java Virtual Machine; Stack machine; Bytecode format; Operations and operands; The constant pool; Code generation strategies; Pure bytecode interpretation; Static compilation
Total JIT compilationMixed mode interpretation; Adaptive code generation; Determining ""hotness""; Invocation counters; Software-based thread sampling; Hardware-based sampling; Optimizing a changing program; Inside the JIT compiler; Working with bytecode; Bytecode obfuscation; Bytecode ""optimizers""; Abstract syntax trees; Where to optimize; The JRockit code pipeline; Why JRockit has no bytecode interpreter; Bootstrapping; Runtime code generation; Trampolines; Code generation requests; Optimization requests; On-stack replacement; Bookkeeping; A walkthrough of method generation in JRockit The JRockit IR formatJIT compilation; Generating optimized code; Controlling code generation in JRockit; Command-line flags and directive files; Command-line flags; Directive files; Summary; Chapter 3: Adaptive Memory Management; The concept of automatic memory management; Adaptive memory management; Advantages of automatic memory management; Disadvantages of automatic memory management; Fundamental heap management; Allocating and releasing objects; Fragmentation and compaction; Garbage collection algorithms; Reference counting; Tracing techniques; Mark and sweep; Stop and copy Stopping the worldConservative versus exact collectors; Livemaps; Generational garbage collection; Multi generation nurseries; Write barriers; Throughput versus low latency; Optimizing for throughput; Optimizing for low latency; Garbage collection in JRockit; Old collections; Nursery collections; Permanent generations; Compaction; Speeding it up and making it scale; Thread local allocation; Larger heaps; 32-Bits and the 4-GB Barrier; The 64-bit world; Cache friendliness; Prefetching; Data placement; NUMA; Large pages; Adaptability; Near-real-time garbage collection; Hard and soft real-time JRockit Real TimeDoes the soft real-time approach work?; How does it work?; The Java memory API; Finalizers; References; Weak references; Soft references; Phantom references; Differences in JVM behavior; Pitfalls and false optimizations; Java is not C++; Controlling JRockit memory management; Basic switches; Outputting GC data; Set initial and maximum heap size; Controlling what to optimize for; Specifying a garbage collection strategy; Compressed references; Advanced switches; Summary; Chapter 4: Threads and Synchronization; Fundamental concepts; Hard to debug; Difficult to optimize Latency analysis |
| Record Nr. | UNINA-9910785183803321 |
|
Hirt Marcus
|
||
| Birmingham, U.K., : Packt Enterprise, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Oracle JRockit : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren
| Oracle JRockit : the definitive guide : develop and manage robust Java applications with Oracle's high-performance Java Virtual Machine / / Marcus Hirt, Marcus Lagergren |
| Autore | Hirt Marcus |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Enterprise, 2010 |
| Descrizione fisica | 1 online resource (588 p.) |
| Disciplina |
005.1
005.133 |
| Altri autori (Persone) | LagergrenMarcus |
| Soggetto topico |
Application software - Development
Java (Computer program language) |
| ISBN |
1-282-62409-1
9786612624094 1-84719-807-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; Foreword; About the Authors; About the Reviewers; Table of Contents; Preface; Chapter 1: Getting Started; Obtaining the JRockit JVM; Migrating to JRockit; Command-line options; System properties; Standardized options; Non-standard options; Changes in behavior; A note on JRockit versioning; Getting help; Summary; Chapter 2: Adaptive Code Generation; Platform independence; The Java Virtual Machine; Stack machine; Bytecode format; Operations and operands; The constant pool; Code generation strategies; Pure bytecode interpretation; Static compilation
Total JIT compilationMixed mode interpretation; Adaptive code generation; Determining ""hotness""; Invocation counters; Software-based thread sampling; Hardware-based sampling; Optimizing a changing program; Inside the JIT compiler; Working with bytecode; Bytecode obfuscation; Bytecode ""optimizers""; Abstract syntax trees; Where to optimize; The JRockit code pipeline; Why JRockit has no bytecode interpreter; Bootstrapping; Runtime code generation; Trampolines; Code generation requests; Optimization requests; On-stack replacement; Bookkeeping; A walkthrough of method generation in JRockit The JRockit IR formatJIT compilation; Generating optimized code; Controlling code generation in JRockit; Command-line flags and directive files; Command-line flags; Directive files; Summary; Chapter 3: Adaptive Memory Management; The concept of automatic memory management; Adaptive memory management; Advantages of automatic memory management; Disadvantages of automatic memory management; Fundamental heap management; Allocating and releasing objects; Fragmentation and compaction; Garbage collection algorithms; Reference counting; Tracing techniques; Mark and sweep; Stop and copy Stopping the worldConservative versus exact collectors; Livemaps; Generational garbage collection; Multi generation nurseries; Write barriers; Throughput versus low latency; Optimizing for throughput; Optimizing for low latency; Garbage collection in JRockit; Old collections; Nursery collections; Permanent generations; Compaction; Speeding it up and making it scale; Thread local allocation; Larger heaps; 32-Bits and the 4-GB Barrier; The 64-bit world; Cache friendliness; Prefetching; Data placement; NUMA; Large pages; Adaptability; Near-real-time garbage collection; Hard and soft real-time JRockit Real TimeDoes the soft real-time approach work?; How does it work?; The Java memory API; Finalizers; References; Weak references; Soft references; Phantom references; Differences in JVM behavior; Pitfalls and false optimizations; Java is not C++; Controlling JRockit memory management; Basic switches; Outputting GC data; Set initial and maximum heap size; Controlling what to optimize for; Specifying a garbage collection strategy; Compressed references; Advanced switches; Summary; Chapter 4: Threads and Synchronization; Fundamental concepts; Hard to debug; Difficult to optimize Latency analysis |
| Record Nr. | UNINA-9910824290903321 |
|
Hirt Marcus
|
||
| Birmingham, U.K., : Packt Enterprise, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||