Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

When it comes to parallel file systems, few people understand the evolution of challenges better than Sven Oehme, who was part of the original team at IBM building GPFS. Following almost a quarter ...

Many of the major advances in HPC have been the result of collaboration between academia and the big government labs. This has been the case with PVFS (Parallel Virtual File System) and its latest ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

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 ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...

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 ...

Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them. This course satisfies the ...