Mar Java Mit Java Blog

Tame the Concurrency Beast: Throttling Requests with Semaphores in Java

In the ever-demanding world of concurrent applications, managing incoming requests effectively is crucial. Uncontrolled request surges can overwhelm your system, leading to performance degradation and potential crashes. This article explores how semaphores, a powerful...

Demystifying CAS: A Deep Dive into Java’s Atomic Operation

Core Functionality: CAS is an atomic operation that ensures thread-safe modification of shared variables in concurrent programming scenarios. It involves three key elements: The CAS Process: Key Advantages: Implementation in Java: Java doesn’t provide...

Unveiling JIT: How Java Code Gets Optimized on the Fly

The Java Virtual Machine (JVM) employs a technique called Just-In-Time (JIT) compilation to optimize the performance of your Java applications. Here’s a breakdown of how it works: Traditional Interpretation: JIT Compilation in Action: Benefits...

Comparing JIT and PGO: Dynamic Optimization in Java Development

Java developers often encounter the terms “JIT” (Just-In-Time) and “PGO” (Profile-Guided Optimization) when discussing performance optimization techniques. Both approaches aim to improve the efficiency of Java applications, but they operate in distinct ways. JIT...

Bridging Java and Native Code: FFM vs. JNI – A Developer’s Guide

In the ever-evolving world of software development, the need to interact with native code from Java applications frequently arises. This interaction allows leveraging existing C/C++ libraries or accessing hardware capabilities unavailable within the Java...

Beyond Physical Cores: Virtual Threads in Java

While physical CPU cores provide the foundation for parallelism, traditional operating system threads can become resource-intensive for applications with a high number of concurrent tasks. Enter virtual threads in Java 16, a lightweight alternative...