本blog中列举了我学习JVM的references，会不断的更新，为了避免版权问题，就不在blog上提供references的下载了，感兴趣的同学可自行下载或购买，:)
References |— Towards a Renaissance VM |— Oracle JRockit The Definitive Guide |— JVM Magic |— JAVA虚拟机中文第二版 |— Java Lang Spec 3.0 |— Inside Out A Modern Virtual Machine Revealed |— Hotspot Overview |— Azul’s JVM experiences |— A Crash Course in Modern Hardware |— [ adaptive ] |— Understanding Adaptive Runtimes |— Adaptive Optimization of Java Real-time |— Adaptive Optimization in the Jalapeno JVM |— [ compiler ] |— The Java HotSpotTM Server Compiler |— Tailoring Graph-coloring Register Allocation For Runtime Compilation |— Linear Scan Register Allocation |— Design of the Java HotSpotTM Client Compiler for Java 6 |— [ concurrent ] |— The.Art.of.Multiprocessor.Programming.Mar.2008 |— The Concurrency Revolution The Hardware Story |— Multithreaded Programming Guide |— JVM Continuations |— java.util.concurrent Synchronizer Framework |— Java Concurrency Gotchas |— Groovy and Concurrency |— concurrent programming without locks |— Concurrency Grab Bag |— Alternative Concurrency Paradigms For the JVM |— Accelerating Java Workloads via GPUs |— A Scalable Lockfree Stack Algorithm |— A Concurrent Dynamic Analysis Framework |— [ io ] |— Asynchronous IO Tricks and Tips |— [ memory management ] |— Tuning Java Memory Manager |— The Ghost in the Virtual Machine A Reference to References |— The Garbage Collection Mythbusters |— SuperSizingJava |— Step by Step GC Tuning in the HotSpot Java Virtual Machine |— parallel gc ppt |— Oracle JDBC Memory Management |— NUMA-Aware-Java-Heaps-for-Server-Applications |— memorymanagement_whitepaper |— markcompact_gc ppt |— Leak Pruning |— GC Vs Explicit MM |— GC Tuning in the hotspot |— Garbage Collection and Memory Architecture |— Garbage Collection Algorithms For Automatic Dynamic Memory Management – Richard Jones |— [ Hotspot GC论文 ] |— Parallel Garbage Collection for Shared Memory Multiprocessors |— Garbage First Garbage Collector |— A Generational Mostly-concurrent Garbage Collector |— [ 其他JVM GC ] |— The pauseless gc |— Immix A Mark-Region Garbage Collector |— How to write a distributed gc |— GC Nirvana High Throughput And Low Latency Together |— [ monitoring and profiling ] |— Where Does All the Native Memory Go |— What’s Happening with My Application JVM Monitoring Tool |— Practical Lessons in Memory Analysis |— MonitoringGuide |— Microarchitectural Characterization of Production JVMs and JavaWorkloads |— Going Beyond Memory Leaks Debugging Java from Dumps, Using Memory Analyzer |— Diagnosing and Fixing Memory Leaks in Web Applications Tips from the Front Line |— [ osrelated ] |— poll-epoll_2 |— poll-epoll_1 |— memory systems |— Linux内核源代码情景分析 |— linux_cpu_scheduler |— Linux 内核中断内幕 |— Linux System and Performance Monitoring |— cpumemory |— [ performance ] |— Towards Performance Measurements for the Java Virtual Machine’s invokedynamic |— Thinking clearly about performance |— The Impact of Performance Asymmetry in Emerging Multicore Architectures |— the art of benchmarking |— Techniques for Obtaining High Performance in Java Programs |— Pipelining for Performance |— Performance myths and legends |— Performance Java Versus C |— How to Tune and Write Low-Latency Applications on the Java Virtual Machine |— How to Get the Most Performance from Sun JVM on Intel? Multi-Core Servers |— Comparing the Performance of Web Server Arch |— A Common API for Measuring Performance
