Stories with Tag linking

• Let's Take a Look at JEP 483: Ahead-of-Time Class Loading and Linking

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  Posted: 2025-03-28 11:11:55

  Verbose tl;dr

  JEP 483 introduces a new class loading and linking mechanism called "ahead-of-time" (AOT) loading, aimed at improving startup performance. Unlike the existing dynamic class loading, AOT processes class data during build time, generating a dedicated archive. This archive contains pre-linked classes, readily available at startup, reducing the runtime overhead associated with verification and resolution. While AOT can significantly decrease startup time, particularly for applications with large class hierarchies, it comes with trade-offs. AOT-generated archives increase disk space consumption and require dedicated build-time tooling. Additionally, AOT doesn't replace dynamic class loading entirely; it complements it, handling a predefined set of classes while dynamic loading manages the rest. JEP 483 intends to improve startup, not overall performance, and introduces a new tool called jaotc to facilitate AOT compilation.

  The blog post "Let's Take a Look at JEP 483: Ahead-of-Time Class Loading and Linking" by Rafael Winterhalter delves into the motivations, mechanics, and potential impact of JEP 483, a Java Enhancement Proposal aiming to improve application startup time. The author begins by highlighting the perennial challenge of slow startup times in Java applications, especially concerning larger applications and the impact on short-lived processes like serverless functions. Traditional class loading, performed dynamically at runtime, is identified as a significant contributor to this startup overhead. JEP 483 proposes to mitigate this by introducing ahead-of-time (AOT) class loading and linking, allowing a significant portion of this process to be completed before the application even begins execution.

  The core idea behind JEP 483 is to generate, during the build process, a specialized archive known as an "AOT library." This archive contains pre-processed class data, effectively representing a snapshot of the class loading and linking that would traditionally occur at runtime. At startup, the Java Virtual Machine (JVM) can then load these pre-processed classes directly from the AOT library, significantly reducing the work required during the initial phases of execution. The blog post emphasizes that this approach is not about compiling Java code into native machine code, like GraalVM Native Image, but rather about optimizing the class loading process within the JVM itself.

  The author then proceeds to explain the technical intricacies of AOT libraries, detailing how they are created using the jaotc tool and how they are integrated with the JVM at runtime. The blog post carefully distinguishes between class loading and linking, explaining how JEP 483 tackles both aspects. Loading involves finding and reading class files, while linking involves verifying and preparing the classes for execution. AOT compilation addresses both of these, allowing the JVM to bypass much of the traditional overhead. The jaotc tool analyzes the application's classes and dependencies, generating optimized representations that the JVM can readily consume. The blog post notes that specific JVM flags are necessary to instruct the runtime to use these AOT libraries, enabling developers to control the adoption of this feature.

  Furthermore, the author explores the potential benefits and limitations of JEP 483. A significant advantage highlighted is the potential for drastically reduced startup time, which is particularly beneficial for serverless functions and other short-lived applications. However, the blog post also acknowledges that AOT libraries introduce trade-offs. They can increase the overall size of the application's deployment artifacts and potentially limit dynamic class loading capabilities. The author also emphasizes that JEP 483 is primarily designed for applications running on closed-world assumptions, meaning the classes required at runtime are known in advance. Dynamically loading classes outside this pre-defined set might still incur the traditional runtime overhead. Finally, the author notes that JEP 483 represents an ongoing development effort, and further refinements and enhancements are expected as the technology matures. This experimental nature implies that the specific implementation details, including the use of jaotc and relevant JVM flags, might be subject to change in future releases.

  • Java
  • JEP 483
  • AOT
  • Ahead-of-Time Compilation
  • Class Loading
  • linking
  • performance
  • JVM
  • virtual machine
  • OpenJDK
  • Java Development Kit

  Summary of Comments ( 19 )
  https://news.ycombinator.com/item?id=43503960

  Verbose tl;dr

  HN commenters generally express interest in JEP 483's potential performance benefits, particularly faster startup times. Some highlight the complexity of the proposed changes and the potential for subtle bugs. A few commenters question the necessity of AOT given existing JIT compiler advancements, while others point out that AOT can offer advantages beyond raw startup speed, such as reduced memory footprint and improved warmup times. One commenter notes the limited scope of the initial JEP, applying only to platform classes, and wonders about future expansion to application classes. Another expresses concern about the potential security implications of pre-compiled code. Several users discuss the interplay between AOT compilation and existing JIT compilation, specifically how the two might be used together effectively.

  The Hacker News post discussing JEP 483: Ahead-of-Time Class Loading and Linking has generated a moderate number of comments, exploring various aspects of the proposed changes.

  Several commenters express enthusiasm for the potential performance improvements that AOT compilation could bring to Java applications. They highlight the possibility of faster startup times and reduced runtime overhead as key benefits. Some specifically mention the impact on serverless functions and other cloud-native deployments where cold starts are a significant concern.

  A recurring theme in the comments is the trade-off between AOT compilation and the dynamic nature of Java. Some users raise concerns about the potential loss of flexibility in class loading and runtime code generation. They question how JEP 483 will handle scenarios involving dynamic class loading and modification, which are common in certain Java frameworks and applications.

  There's discussion around the complexity of implementing and maintaining AOT compilation. Commenters acknowledge the engineering effort required to make this feature robust and efficient. They also touch on the potential challenges of debugging and profiling AOT-compiled code.

  Some users express skepticism about the practical benefits of JEP 483, particularly in comparison to existing JIT compilation techniques. They argue that modern JIT compilers are already highly optimized and that the gains from AOT might be marginal in many cases.

  A few commenters draw parallels to similar AOT efforts in other languages and runtime environments, such as .NET and Native Image. They discuss the lessons learned from these projects and how they might apply to the Java ecosystem.

  Finally, there are some questions and speculations about the long-term implications of JEP 483 for the Java platform. Some commenters wonder how it will interact with existing features like reflection and dynamic proxies, and how it might influence the future evolution of the Java language.

• Wild – A Fast Linker for Linux

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  Posted: 2025-01-24 16:25:53

  Verbose tl;dr

  Wild is a new, fast linker for Linux designed for significantly faster linking than traditional linkers like ld. It leverages parallelization and a novel approach to symbol resolution, claiming to be up to 4x faster for large projects like Firefox and Chromium. Wild aims to be drop-in compatible with existing workflows, requiring no changes to source code or build systems. It also offers advanced features like incremental linking and link-time optimization, further enhancing development speed. While still under development, Wild shows promise as a powerful tool to accelerate the build process for complex C++ projects.

  David Lattimore has introduced "wild," a new linker designed specifically for Linux systems, aiming to significantly accelerate the linking process. Lattimore posits that linking is often a performance bottleneck in software development, especially noticeable in large projects or during iterative development cycles. Wild aims to address this by employing several optimization strategies.

  The core principle behind wild's speed is its extensive use of parallelization. The linker leverages multi-core processors to perform linking operations concurrently, dividing the workload across available cores to minimize overall linking time. This parallel approach is applied to various stages of the linking process, enhancing efficiency. Furthermore, wild utilizes memory mapping techniques to efficiently handle large files and reduce I/O overhead, further contributing to its speed.

  Beyond parallelization and memory mapping, wild incorporates additional optimizations. It employs a carefully designed internal data structure to facilitate fast lookups and operations, minimizing processing time. The linker also implements incremental linking, allowing it to reuse previously linked outputs, dramatically reducing redundant work when only minor changes are made to the codebase. This incremental approach is particularly beneficial in iterative development workflows, where small code modifications are frequently linked. Lattimore claims substantial performance improvements compared to traditional linkers, showcasing wild's potential to streamline the development process.

  While presented as a fast linker, wild is also designed with compatibility in mind. It aims to support a wide range of object file formats, ensuring its usability with existing projects and libraries. This broad compatibility makes it a potential drop-in replacement for slower linkers, simplifying adoption for developers.

  The project is open-source, hosted on GitHub, encouraging community involvement and contributions. While the current focus is on Linux, future development might explore expanding support to other operating systems. Lattimore's work represents a promising advance in linker technology, potentially offering substantial benefits for developers working on Linux by reducing build times and enhancing productivity.

  • Linux
  • linker
  • performance
  • elf
  • executable
  • linking
  • development
  • tools
  • Open Source
  • Software
  • wild
  • fast
  • build
  • build tools
  • Systems Programming

  Summary of Comments ( 35 )
  https://news.ycombinator.com/item?id=42814683

  Verbose tl;dr

  HN commenters generally praised Wild's speed and innovative approach to linking. Several expressed excitement about its potential to significantly improve build times, particularly for large C++ projects. Some questioned its compatibility and maturity, noting it's still early in development. A few users shared their experiences testing Wild, reporting positive results but also mentioning some limitations and areas for improvement, like debugging support and handling of complex linking scenarios. There was also discussion about the technical details behind Wild's performance gains, including its use of parallelization and caching. A few commenters drew comparisons to other linkers like mold and lld, discussing their relative strengths and weaknesses.

  The Hacker News post titled "Wild – A Fast Linker for Linux" (https://news.ycombinator.com/item?id=42814683) has generated a fair amount of discussion, with a focus on the performance benefits and potential of the Wild linker.

  Several commenters express excitement about the speed improvements Wild offers compared to traditional linkers like ld. Some share anecdotal evidence or express anticipation of trying it out in their own projects to see the real-world impact on build times. The potential for significantly reducing link times, particularly in large projects, is a recurring theme and a key driver of interest.

  One commenter notes the importance of fast linking, particularly in iterative development cycles where frequent recompilation and linking can be a significant bottleneck. They highlight how improvements in this area can lead to more productive development.

  Another commenter points out the project's utilization of Mold's design. They mention this as a positive aspect, suggesting the project benefits from a proven architecture and can further build upon it.

  There's a discussion around specific technical details. One comment thread delves into the implementation details of parsing and handling debug information, which appears to be a contributing factor to Wild's speed. The decision to avoid using regular expressions for this task is highlighted as a potentially smart performance optimization.

  There are also comments acknowledging the challenges of linker development. One commenter mentions that writing a linker is complex, implying that creating a fast and robust one like Wild is a significant achievement.

  The overall sentiment is positive and optimistic. Many commenters see Wild as a promising development in the linking space, with the potential to significantly improve build times for Linux developers. There's a clear interest in its future development and adoption.