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Java

Java Virtual Threads: a Case Study

This article explores JDK 21's virtual threads, comparing their performance with Open Liberty's thread pool. It covers key findings like throughput, ramp-up times, and memory footprint. Despite advantages, virtual threads showed unexpected performance issues, especially in CPU-intensive workloads. This analysis guides Java developers on when and how to use virtual threads in their applications.

Gary DeVal Vijay Sundaresan Rich Hagarty Laura Cowen
on Jul 11, 2024
Java

Spring Boot 3.2 and Spring Framework 6.1 Add Java 21, Virtual Threads, and CRaC

Spring Framework 6.1 and Spring Boot 3.2 run on Java 21. They make concurrent programming simpler and more efficient with virtual threads, as well as improving reactive programming and Kotlin coroutines. For “Scale to Zero” startup time reduction, the OpenJDK project CRaC received initial support, while the existing GraalVM Native Image integration got faster through a GraalVM release.

Karsten Silz
on Feb 07, 2024
Java

Helidon 4 Adopts Virtual Threads: Explore the Increased Performance and Improved DevEx

This article delves into Helidon 4's integration of Java 21's virtual threads from Project Loom, marking a significant shift in Java development. It highlights the transition from a reactive to an imperative model, simplifying coding and debugging. Helidon 4 claims improved performance over previous versions and some external frameworks, balancing performance with simplicity.

Dmitry Alexandrov
on Dec 07, 2023
Java

InfoQ Java Trends Report - November 2023

This report provides a summary of how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2023. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.

Michael Redlich Ixchel Ruiz Alina Yurenko Rustam Mehmandarov Johan Janssen
on Nov 28, 2023
Development

Debugging Go Code: Using pprof and trace to Diagnose and Fix Performance Issues

In this article, we will look at how to identify and fix performance issues in Go programs using the pprof and trace packages. We will begin by covering the fundamentals of the tools, then delving into practical examples of how to use them. By the end of this article, you will have a solid understanding of how to use these powerful tools to improve the performance of your Go applications.

Oghenevwede Emeni
on Jun 15, 2023
Development

Designing for Concurrency: the Hilbert’s Hotel Problem in Go

In this article, we want to show how achieving concurrency is the result of an appropriate design. A concurrent solution may turn out to be more elegant and easier to reason about than an equivalent sequential algorithm. To illustrate these concepts we use, as an example, the Hilbert’s Hotel mathematical problem.

Enrico Piccinin
on Feb 03, 2023
Java

Java InfoQ Trends Report - December 2022

This report provides a summary of how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology and emerging trends within the Java and JVM space in 2022. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.

Michael Redlich Ben Evans Johan Janssen Dalia Abo Sheasha Billy Korando Otavio Santana
on Dec 16, 2022
Java

Virtual Threads: New Foundations for High-Scale Java Applications

Virtual threads are a lightweight implementation of Java threads, delivered as a preview feature in Java 19. They dramatically reduce the effort of writing, maintaining, and observing high-throughput concurrent applications. Virtual threads breathe new life into the familiar thread-per-request style of programming, allowing it to scale with near-optimal hardware utilization.

Brian Goetz
on Sep 23, 2022
Emerging Technologies

Boosting WebAssembly Performance with SIMD and Multi-Threading

Early implementations of WebAssembly's SIMD and multi-threading proposals show that WebAssembly is narrowing the gap with native performance, by using SIMD instructions and multicore CPUs. Significant performance improvements have been observed in compute-intensive tasks (machine-learning, bio-informatics, scientific computing).

Bruno Couriol
on Feb 19, 2021
Architecture & Design

FPGAs Supercharge Computational Performance

Originally used in the development of new hardware, new, cloud-based FPGAs are making the technology more accessible. The dramatic improvements in speed and lower costs over traditional CPUs means more companies can start benefiting from the technology. FPGAs are fundamentally concurrent, which makes them an ideal tool for data-intensive, parallel processing problems.

Rob Taylor
on Nov 17, 2017
Mobile

A Roadmap to the Programmable World

The emergence of millions of remotely programmable devices in our surroundings will pose significant challenges for software developers. This article proposes a roadmap from today’s cloud-centric, data-centric Internet of Things systems to the Programmable World highlights those challenges that haven’t received enough attention yet.

Tommi Mikkonen Antero Taivalsaari
on May 27, 2017
Architecture & Design

Microservice Threading Models and their Tradeoffs

A microservice's efficiency and resource consumption patterns are dramatically affected by its threading model. Choosing the correct model for your solution is a basic requirement for success. Glenn Engstrand investigates multiple options for a service's execution life-cycle, gives examples of the benefits and drawbacks for each choice, and provides recommendations for each model's implementation.

Glenn Engstrand
on May 06, 2016

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