Java Performance Optimization - JVM Internals, JIT & Bytecode Deep Dive
Java performance optimization and understand how the JVM really works. This course covers bytecode, JIT compilation, compiler optimizations, and performance tuning techniques that make Java faster. #JavaOptimizingTutorial , #JavaCompleteCourse , #OptimizeperformanceinJava
Chapter Time
Getting Started
00:00:00 Introduction
What Does A Compiler Do?
00:02:47 Anatomy Of A Compiler
00:07:33 How Does Java Code Execute?
Java Bytecode
00:11:51 Class File Format
00:18:35 javac Optimizations
Hotspot Execution Lifecycle
00:24:42 Lifecycle With Simple Program
00:32:15 General VM Tricks
00:40:09 Triggering The JIT
00:48:14 Tiered Compilation
00:57:26 Methods That Won't JIT
01:03:35 PrintAssembly & JITWatch
Benchmarking Java Performance
01:11:37 JITs: The Real Java Compilers
JITs: The Real Java Compilers
01:18:23 Peephole And Local Optimizations
01:25:04 Peephole And Local Optimizations Demo
01:35:45 Global Optimizations
01:43:59 Data Dependence And Static Single Assignment
01:53:13 Optimizations
01:53:23 More Applications Of SSA
02:00:24 Concurrency Implications
02:11:15 Types In Compilers
02:18:48 Back To Something Real
02:25:51 Inter-Procedural Optimization
02:33:49 Revisiting Performance Mysteries
Speculative Optimizations
02:42:37 Speculative Optimizations
02:49:49 Uncommon Traps
02:56:22 Devirtualization
03:05:11 Devirtualization - Type Profiles
03:12:49 Devirtualization - Unique Concrete Methods
Other Things To Think About
03:18:30 Other Surprises
03:28:06 What To Optimize
03:35:02 Instrumentation
03:40:59 Honest Profilers
Congratulations
03:46:38 End of the course
Java performance optimization and understand how the JVM really works. This course dives deep into bytecode, JIT compilation, compiler optimizations, and performance tuning techniques that make Java applications faster.
Learn the internals of the Java compiler, hotspot execution, tiered compilation, and advanced optimization strategies. You'll explore peephole optimizations, SSA form, speculative optimizations, devirtualization, and profiling tools. Understand why Java code runs the way it does and how to make it run faster.
Topics include class file format, javac optimizations, JIT triggers, benchmarking, data dependence, concurrency implications, inter-procedural optimization, uncommon traps, and honest profilers. Real examples with PrintAssembly and JITWatch show you what's happening under the hood.
For Java developers who want to understand performance at a deep level and write faster, more efficient code.
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