Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

As Web and mobile applications face the challenge of quickly analyzing huge volumes of live data, developers are turning to data-parallel computing techniques to tackle these daunting computations.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Create continuations using the Task Parallel Library that can run immediately after the execution of the antecedent is complete or to chain tasks as continuations A continuation is like a delegate ...

Building a web application using non blocking calls to the data layer is a great way to increase the scalability of your system. Performing a task asynchronously frees up the worker thread to accept ...

Microsoft has provided support for parallel programming in .Net Framework to leverage the benefits of multi core systems. In this post, I will present a discussion on the support for Parallel ...

C# in a Nutshell is broken into four sections. Part 1 introduces the .NET Framework and the basics of the C# language. Part 2 explains how the language will be used, with more extensive discussions of ...

Here's the situation: I've been tasked with replacing a poorly-written Java client with one written in .NET. The purpose of the client is to automatically pull down updated records from a web service ...

Huge volumes of data need near-supercomputer power to process and analyze it all. You can get there with the .NET Task Parallel Library. As Web and mobile applications face the challenge of quickly ...