Project Leyden is an OpenJDK project intended to improve the startup time, time to peak performance, and footprint of Java programs. Credit: Jamesboy Nuchaikong / Shutterstock The OpenJDK’s Project Leyden, an effort to improve the startup time, time to peak performance, and footprint of Java programs, has published its first early-access build. Accessible from java.jdk.net, the initial Project Leyden release focuses on improving application startup time, according to a June 24 bulletin on the Oracle Java team’s Inside Java website. Other Leyden optimizations will be explored in future releases. The easiest way to start with Leyden features is by using the java program in the Leyden Early Access Release with the -XX:CacheDataStore flag. Project Leyden is sponsored by Java’s HotSpot and Core Libraries groups. Other highlights of the build include ahead-of-time (AOT) compilation of Java methods to natively execute them as soon as the application starts up in the production run, and ahead-of-time resolution of constant pool entries, allowing the AOT compiler to produce better code and speed application starts. The Project Leyden early-access build also includes: Archived method profiles for reaching Java application performance quicker. A unified Cache Data Store archive that simplifies creation of the CDS archive, while supporting multiple types of optimization artifacts. Ahead-of-time generation of dynamic proxies and reflection data. Frameworks use dynamic proxies extensively during startup time. Loaded classes in the CDS archive when the application starts up. A class loader lookup cache that helps application frameworks perform repeated lookups without repeatedly scanning the classpath. Developers can provide feedback to the Project Leyden mailing list. A subscription is required. Related content analysis Beyond the usual suspects: 5 fresh data science tools to try today The mid-month report includes quick tips for easier Python installation, a new VS Code-like IDE just for Python and R users, and five newer data science tools you won't want to miss. By Serdar Yegulalp Jul 12, 2024 2 mins Python Programming Languages Software Development analysis Generative AI won’t fix cloud migration You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly. By David Linthicum Jul 12, 2024 5 mins Generative AI Artificial Intelligence Cloud Computing news HR professionals trust AI recommendations HireVue survey finds 73% of HR professionals trust AI to make candidate recommendations, while 75% of workers are opposed to AI making hiring decisions. By Paul Krill Jul 11, 2024 3 mins Technology Industry Careers how-to Safety off: Programming in Rust with `unsafe` What does it mean to write unsafe code in Rust, and what can you do (and not do) with the 'unsafe' keyword? The facts may surprise you. By Serdar Yegulalp Jul 11, 2024 8 mins Rust Programming Languages Software Development Resources Videos