Reading Time: 3 minutes In modern operating systems, the executed program’s code is run in a process, and the operating system manages multiple processes at once. Within your program, you can also have independent parts that run simultaneously. The features that run these independent parts are called threads. A thread is a part of the process that runs along with the main process using a technique called context-switching. So, we can Continue Reading
Reading Time: 6 minutes This blog is a continuation of one of my previous blogs, if you have not checked that out, then here is the link. You can read that and then continue on this blog. This blog is a part of a series on WebAssembly. I have written several other blogs on wasm, wabt , wasm-bindgen and wasmi, etc. Feel free to check them out also. WebAssembly Continue Reading
Reading Time: 3 minutes In this blog we will understand how Multi threading works in JAVA and why is it so Important to understand? What is Multithreading? Multithreading in Java is a process of executing two or more threads simultaneously to maximum utilisation of CPU. Multi-threaded applications execute two or more threads run concurrently. Hence, it is also known as Concurrency in Java. Advantages of multithread: The users are not Continue Reading
Reading Time: 2 minutes In this article, I will quickly describe “What is a Virtual Thread in Java?”
Reading Time: 5 minutes When we think about modelling a certain concurrent problem in Scala, There are a lot of tools in terms of libraries and frameworks to choose over vs the type of concurrency Problem. As part of this blog, we will be talking about where these tools can be utilised at their best. On a broad level, we can classify the tools into categories. There are concurrency Continue Reading
Reading Time: 3 minutes Java comes with a built-in multi-threading model based on shared data and locks. To use this model, you decide what data will be shared by multiple threads and mark as “synchronized” sections of the code that access the shared data. It also provides a locking mechanism to ensure that only one thread can access the shared data at a time. Lock operations remove possibilities for Continue Reading
Reading Time: 3 minutes Hello readers! Welcome to another blog in the Java concurrency series. Today, we are going to look at the Reentrant Locks in Java. What it is, how to use it, and mainly, what is the difference between using Reentrant Locks and synchronization. So, let’s dive straight into it. Reentrant Locks Reentrant locks work just like the synchronized locks in java, but have much more facilities Continue Reading
Reading Time: 2 minutes Hello readers, and welcome to yet another blog in the Java Concurrency series. Today, we are going to look at the CountDownLatch class in Java, what it is and how to use it. So, let’s dive straight into it.
Reading Time: 3 minutes Hello readers! In this blog, we are going to explore about Thread Confinement, what it means and how do we achieve it. So, let’s dive straight into it.
Reading Time: 3 minutes In today’s blog, we will be discussing and understanding the use of atomic variables with regards to concurrency in Java. But before understanding atomic variables, let’s understand what do we mean by atomic or atomicity.
Reading Time: 3 minutes Working with the Thread class in Java can be very tedious and error-prone. Due to this reason, Concurrency API was introduced back in 2004 with the release of Java 5 and then enhanced with every new Java release.The API is located in package java.util.concurrent. It contains a set of classes that make it easier to develop concurrent (multithreaded) applications in Java. The executor services are one of the most Continue Reading
Reading Time: < 1 minute Hi all, Knoldus has organized a 30 min session on 17th February 2017 at 4:05 PM. The topic was Akka Finite State Machine. Many people have joined and enjoyed the session. I am going to share the slides and Video here. Please let me know if you have any question related to linked slides.
Reading Time: 3 minutes Akka is a powerful actor based tool kit for Concurrency, Parallelism and Clustering. But for every concurrent applications, Akka actors are not fit because Futures are another alternative for performing Concurrency. Most of the developers follow simple rules for using Future and Actors is “Futures for Concurrency, Actors for State“. In concurrent applications most of the time we are facing race conditions and deadlocks. Because Continue Reading
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