Optimizing Java May 2026

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

(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 Optimizing Java

: 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 . (2023): Analyzes the dynamic behavior of sequential and

: 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 . Optimizing Java