Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

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 ...

Integrating distributed, in-memory computing with distributed caching can easily extend LINQ semantics to create important new capabilities for real-time analytics on fast-changing data. In the age of ...

It's rare to see an enterprise that relies solely on centralized computing. But there are nevertheless still many organizations that do keep a tight grip on their internal data center and eschew any ...

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...