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 ...

Following his highly anticipated and always-insightful closing night keynote at the recent ISC conference, we caught up with Prof. Thomas Sterling to discuss the state of HPC. Dr. Sterling is ...

In the emerging big data scenario, Distributed File Systems (DFSs) are used for storing and accessing information in a scalable manner. Many cloud computing systems use DFS as the main storage ...

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 ...

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 ...

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 ...

Michael V. DiStefano, CEO at consultancy Integrasoft, discusses how grid computing needs a parallel, easily accessible distributed data layer. Grid computing evolved in the scientific and defense ...