HPC services are no longer solely targeted at traditional HPC applications, highly parallel modeling and simulation tasks. Indeed, the computational power offered by theses services is now being used to support data-centric Big Data and Artificial Intelligence (AI) applications. By combining both types of computational paradigms, HPC infrastructures will be Read more…
The last decade witnessed a new era of software development that allows software developers to write applications independently of the target environment by packaging them along with their dependencies and environment variables inside containers. Numerous studies [1-2] have shown that containers are optimal for building and running applications reliably on Read more…
Data-centric applications (e.g., data analytics, machine learning, deep learning) running at HPC centers require efficient access to digital information in order to provide accurate results and new insights. Users typically store this information on a shared parallel file system (e.g., Lustre, GPFS), which is available at HPC infrastructures. This is Read more…
Following the challenges addressed in our first blog post, BigHPC will design and implement a new framework for monitoring and managing the infrastructure, data and applications of current and next-generation HPC data centers. The proposed solution aims at enabling both traditional HPC and Big Data applications to be deployed on Read more…