The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

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 ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

About 20 years ago engineers around the world began demonstrating what is still the greatest computer innovation of my lifetime, parallel processing. (For more on the concept, visit this course at the ...

According to a recent Jefferies report, the fourth wave of computing has started and it is being driven by the adoption of IoT with parallel processing as the solution. Tectonic shifts in computing ...

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...