In a recent speech, IBM CEO Arvind Krishna, said that: “digital transformation has been accelerated during the COVID-19 pandemic and ultimately every company will become an AI company." This is not strictly true, but what is true is that every company will have to adopt AI technologies. AI considered in a broad meaning, and we can be more precise saying that every industry will have to applying digital technologies determining a paradigm shift, the value of goods/services move from the exploitation of physical systems to the exploitation of knowledge. AI, computer simulations and other digital technologies are tools to help mining out more knowledge, faster. The more the better. In this scenario HPC is a tool, a tool to process BigData, enable AI and perform simulations, it can accelerate the creation of value thanks to the capability to generate new knowledge and perform more accurate predictions. Whereas computational capacity is a fundamental resource for competitiveness, row computational capacity alone is useless, a crunching device transforming sequences of 1 and 0, into other sequences of 1 and 0. The software is the key to unlock the value. This is why, beside the supercomputer, we need to create the capability to implement applications or improve the already existing one. In the talk I will present how Leonardo with the key contribution of the HPC Lab, intends to implement leadership software tools and computational infrastructure able to add value to the company, and ultimately transform it, to be more digital than physical.
The EU-funded LEXIS project (Large-scale EXecution for Industry & Society, Grant Agreement ID: 825532) aims to build an advanced, geographically distributed, HPC infrastructure for Big Data analytics within three targeted pilot test beds: Aeronautics, Weather and Climate, Earthquake and Tsunami. Within the first one led by Avio Aero, the industrial applicability of last generation HPC/Cloud/BD platforms supporting the execution of sophisticated CAE tools to examine the complex flows behavior in aeronautical engine components is under investigation. From both a digital technology and business perspective, Avio Aero intends to obtain a marked step change: less time-consuming CAE analyses that exploit newly designed, improved or tightly coupled HW/SW components opening the doors to the “real time” design approach. Aimed at drastically reducing the execution time of fluid dynamics analyses on low pressure turbines, the turbomachinery case study presented here deals with the improvement of the CFD solver TRAF. The development of a newly designed GPU-enabled version of this code is currently underway with promising results in terms of speed up compared with the consolidated one running on solely CPU-based HPC systems.
Demand for accurate, reliable numerical simulations of complex phenomena is increasing exponentially across a variety of scientific and engineering disciplines ranging from mechanics to underground processes, from computational fluid dynamics to electromagnetism and many others. These applications often require high resolution graphics and run computational domains with several million or even billions of unknowns that impel the use of high-performance computing (HPC). Moreover, the need for fast simulations is even more important today as emerging technologies, such as the Digital Twin, require continuous elaboration and calibration of the models in nearly real time based on the data being collected. This session at the International CAE Conference will explore the most advanced algorithms and applications available to better leverage the huge computational capabilities of modern HPC systems.Read more
Murata’s CAE software Femtet solves 8 physical phenomena, and helps the leading engineers transform their great ideas to reality. Visit Murata’s Exhibitor’s Initiative where you will witness firsthand how Femtet works and how friendly it is to the users with its easy operations.Read more
The 2020 International CAE Conference and Exhibition will take place as a virtual event from November 30 to December 4, 2020, thus allowing it to engage even more people internationally and on a greater scale than ever before, to enable thought leaders, business decision makers, partners, customers and suppliers to continue to take advantage of the event, in spite of the challenges being posed by the global pandemic.
The theme for this year’s edition is "At the epicenter of the digital transformation of industry" and this virtual evolution of the event greatly highlights this strategic role. Staying true to this form, the 2020 event will underscore how engineering simulation is the lynchpin for a successful transformation project when implemented within a balanced and coherent strategy, playing a central and interdependent role among technologies to achieve the organization’s business objectives within the context of a specific industry sector.
Identifying and then implementing the most appropriate infrastructure – both as a set, and as a concatenation, of technologies, human resources and methods – must be inspired by the same principles of centrality and independence, while also taking into account the industrial sector, the size of the organization and the location of each of the individuals in the production chain. This year’s conference will get to grips with all of this and more.
In addition, the virtual exhibition will offer participants the opportunity to explore the broadest gamut of specific engineering simulation technologies, the various complementary technologies originating from Industry 4.0, the exciting and innovative opportunities available to interconnect them, as well as the new opportunities that emerge from this interconnection.
While respecting the origins, tradition and format of the International CAE Conference, this new virtual lens provides innumerable opportunities:
This year’s event promises to be richer and more fruitful than ever before, offering ample occasions to network and discuss the pressing issues presented by this unprecedented year, and their long-term implications for business and industry at large.