Researchers and engineers typically use High-Performance Computing (HPC) infrastructures to deal with computation and data-intensive workloads. The workloads can run on a single system leveraging multiple CPU cores and accelerators (e.g., GPUs). The real advantage comes from connecting similar nodes in a cluster using high-performance communication and parallel storage. To meet up the performance requirements, two modes of scalability are as follows:
- Scale-up: Take advantage of hardware and software architectures that spread computation across a single node.
- Scale-out: Take advantage of hardware and software architectures that spread calculation across multiple similar nodes.
HPC infrastructures typically help solve computation-intensive modeling and simulation problems. Lately, industrial users increasingly operate on HPC infrastructures for data-intensive High-Performance Data Analytics (HPDA) and Artificial Intelligence (AI) workloads.
EuroHPC Joint Undertaking (EuroHPC JU) develops a world-class supercomputing ecosystem in Europe, enabling participating countries (including Turkey) to align their HPC efforts. Among the objectives of the EuroHPC JU, there are:
- Develop, deploy, extend, and maintain a supercomputing and data infrastructure in Europe.
- Widen the use of HPC infrastructures to industrial users and support the development of crucial HPC skills, education, and training
How can our business benefit from the HPC ecosystem?
We can help your business benefit from national and international supercomputers if you have a suitable HPC, HPDA, or AI problem by providing domain-specific training, academic mentoring, infrastructure expertise, and free-of-charge six-month infrastructure access.
- If you don’t have experience with an HPC infrastructure, go here.
- If you have experience with an HPC infrastructure, go here.
- You can find example industrial case studies here.