Optimizing Java Official

(2024): Proposes techniques like "shadow regions" and "dense region skipping" to eliminate dependencies in the HotSpot Parallel Scavenge collector, improving throughput significantly . Applied Optimization Topics [2302.10006] Profiling and Optimizing Java Streams - arXiv

: A seminal paper exploring why classical optimization strategies are difficult to implement in Java due to features like dynamic class loading and exceptions . It discusses approaches for both static research compilers and more aggressive dynamic strategies . Optimizing Java

: Discusses a JIT compiler built on the IBM Java 8 runtime that automatically leverages GPU computational power for performance gains . (2024): Proposes techniques like "shadow regions" and "dense

(2023): Analyzes the dynamic behavior of sequential and parallel streams, demonstrating speedups of up to 5x through targeted code modifications . : Discusses a JIT compiler built on the

: While a framework, this work is frequently cited as the primary tool for analyzing and transforming Java bytecode through intermediate representations like Jimple . Modern Specific Optimizations

: Describes the design of IBM's Jalapeño (now Jikes RVM) compiler, which was unique for taking a "compile-only" approach rather than using an interpreter .