The latest All Hands Meeting of EXCELLERAT P2 took place in Barcelona on January 30-31, 2024. This event marked a pivotal moment for the project, bringing together 31 experts from various disciplines to share insights, achievements, and strategies.
In today’s rapidly evolving research and engineering landscape, the convergence of artificial intelligence (AI) and high-performance computing (HPC) has become a transformative force. The synergy of AI and HPC is reshaping industries such as manufacturing, automotive, energy, aerospace, and climate research. From designing smarter vehicles to enabling sustainable energy sources and improving aerospace precision, AI and HPC are making engineering smarter, safer, and more sustainable. In this blog post, we will provide some insight on applications of AI and HPC in some engineering sectors including our own EXCELLERAT approaches.
Industry holds a vital position within the economic framework of the European Union, contributing significantly to its prosperity and progress. The following blog article provides an overview of the pivotal role of HPC in enhancing the competitiveness of industry, especially SMEs, across sectors.
From November 12 to 17, 2023, the high-performance computing (HPC) world converged at the International Conference for High-Performance Computing, Networking, Storage, and Analysis – SC23 and EXCELLERAT was no exception. With a record over 14,000 attendees and 438 exhibitors, SC23 lived up to its reputation as the premier event for scientists, engineers, researchers, educators, programmers, and developers in the HPC community.
While EXCELLERAT didn’t have a physical booth of its own, its activities were well-represented by project partners: BSC, HLRS, and SiPearl were exhibitors, and KTH was involved in the technical programme.
On Thursday, November 16, 2023, the “Day of the Slovenian Supercomputer Network” was organized by the National Competence Center SLING in Ljubljana, Slovenia. One of the biggest HPC events in Slovenia gathered visitors from the entire HPC value chain.
The varied program included presentations on the activities of the National Competence Center (NCC) and Centers of Excellence (CoEs). Furthermore, examples of the effective use of powerful supercomputers in industry and academia were presented by research institutions and companies, and the possibilities of accessing HPC infrastructure were explained.
A simulation software often computes a configuration in a step response fashion. Indeed, it starts from an approximate initial state and iteratively advances towards a statistically converged state that satisfies the physical constraints of the model. In Computational Fluid Dynamics (CFD), for instance, the conservation laws are progressively enforced, resulting in global signals with similar characteristics. Consequently, before reaching a statistically steady state, there is a warm-up period unsatisfactory from the modeling point of view, that should be discarded in our data collection.
Alongside other projects EXCELLERAT 2 was part of the Joint Workshop on the 4th and 5th September to push forward OpenFOAM. EXCELLERAT 2 was represented by a member of HLRS. He gave insights into in situ visualisation.
In this blog post, we want to bring attention to the central role of supercomputer users in the mitigation of computational waste. In a nutshell, users are not aware of wasteful behaviors. Therefore, after a brief recall of what running a supercomputer means, we will introduce new metrics for measuring computational waste, then we will describe the two main waste sources: understayers jobs and overstayer jobs. Finally we will show how we can engage users in this quest for better and cleaner workloads.
The aerospace industry can greatly benefit from using HPC and Artificial Intelligence technologies. Those technologies and significant computational power are crucial in the aerospace industry for several purposes. HPC enables complex simulations and modeling of aerodynamics, structural mechanics, and fluid dynamics. It allows aerospace engineers to perform detailed analyses of aircraft performance, including airflow patterns, stress distribution, and fuel efficiency. AI can enhance these simulations by enabling optimization algorithms and machine learning techniques to improve designs and performance.