HPC for Maritime SMEs

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Jonathan Hill
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1 HPC for Maritime SMEs

2 Computational challenges in Maritime Development of new inovative technologies. More precise and accurate design of the higher resolution with results close to real life. Support of the visualization of data and its management. Run of the simulations from a desktop system or other interface while using the full capabilities of the HPC. Reduction in compute time to fit much better to the design cycle of companies. Improvement of the design process to offer an alternative to physical tests. Automating the download and data input processes, model execution and output data processing. 2 30/05/17

Case study #1 Company: WAVEC, VICUSDT Objectives: HPC-Cloud-based seakeeping design HPC (CESGA): HPC ported the relevant software packages to the HPC-Cloud-based system and integrated into an overall

3 Case study #1 Company: WAVEC, VICUSDT Objectives: HPC-Cloud-based seakeeping design HPC (CESGA): HPC ported the relevant software packages to the HPC-Cloud-based system and integrated into an overall simulation package. An interface between the end-user and the HPC resources has beed implemented, so simulations can be run from a familiar desktop system while using the full capabilities of the HPC. Output: The use of Cloud-based-HPC simulations enables cases to be analysed far more quickly than was previously possible. Due to the speed up in calculation time, it also allows previously infeasible cases to be analysed, and solutions devised. The ability to take on seakeeping cases that other companies cannot gives significant competitive advantage in the sector. HPC-Cloud-based simulation of marine structures has the potential to expand activities as a consulting company specialized in services for the offshore renewable industry and other related industries (aquaculture, oil and gas).

Case study #2 Company: ISONAVAL Objectives: HPC-Cloud-based standard strength assessment of commercial ships HPC (CESGA): The relevant software packages have been ported to an HPC-Cloud-based system

4 Case study #2 Company: ISONAVAL Objectives: HPC-Cloud-based standard strength assessment of commercial ships HPC (CESGA): The relevant software packages have been ported to an HPC-Cloud-based system and integrated into an overall simulation package. An effective interface between the end-user and the HPC has been implemented which integrates the various software components and the HPC system. The simulations have been benchmarked using a model of the full 3D hull structure of a merchant ship. Output: The simulations demonstrated a significant speed-up by a factor of 42 through the use of an HPC system. This significantly reduced compute time fits much better to the design cycle of companies.

Case study #3 Company: ALSEAMAR Objectives: Cloud-based simulation of marine communication buoys HPC (BULL): Relevant software has been ported to the HPC-as-a-Service, to create an appropriate

5 Case study #3 Company: ALSEAMAR Objectives: Cloud-based simulation of marine communication buoys HPC (BULL): Relevant software has been ported to the HPC-as-a-Service, to create an appropriate simulation model. An online solution monitor has been integrated with the web interface. Specific workflows have been developed to reduce engineering time and to feed into the ALSEAMAR design cycle. Output: Development of a releasable communication buoy for submarines. ALSEAMAR has gained confidence in using CFD simulations to improve their design process, offering an alternative to physical tests.

Case study #4 Company: INCAT Objectives: Swell Analysis in Punta Langosteria HPC (Cesga): CESGA provided HPC infrastructure and team expertise in order to run up to 16 different simulations in

6 Case study #4 Company: INCAT Objectives: Swell Analysis in Punta Langosteria HPC (Cesga): CESGA provided HPC infrastructure and team expertise in order to run up to 16 different simulations in parallel, and with a better precision because of the higher resolution in the finite element grid. Output: Establishment of a system able to predict the action of the sea over a meter long seawall overcoming based on weather forecasting, ensuring safety for personnel and machinery. Without HPC infrastructure and expertise it would be impossible to successfully tackle the problem in the time allotted and with results so close to real life.

Case study #5 Company: INCAT Objectives: Inner Disturbance Caused by Swelling in a Harbour HPC (Cesga): A completely tailored system was developed for this specific harbour, implementing a FEM model,

7 Case study #5 Company: INCAT Objectives: Inner Disturbance Caused by Swelling in a Harbour HPC (Cesga): A completely tailored system was developed for this specific harbour, implementing a FEM model, automating the download and data input processes, model execution and output data processing. Output: INCAT s quest was to be able to predict the inner disturbance caused by swelling and the disturbance due to infra-gravity waves in the harbour of Burela (Spain). This system uses a FEM model resolving the soft slope equation or Berhkoff equation. HPC resources and technical personell support were essential for INCAT to be able ro offer these services.

8 The Global Maritime Market The coastline of the European Union (EU) extends for over 68,000 km, and the combined area of the EEZ of the EU is About 25 million square kilometres, the largest EEZ in the world. Nearly half the population of the Union live less than 50 km from the sea and these maritime regions generate more than 40% of Europe s GDP. According to the Blue Growth report published in 2012, the maritime economy of the European Union accounts for 5.4 million jobs (7 million by 2020) and gross value added of nearly 500 billion per year. The objective of the European Commission is to ensure sustainable development of the European maritime sector from environmental, social and economic point of view. The use of high performance computing has huge benefits to almost every field, and maritime ventures are most assuredly one of them. Thanks to HPC, cargo ships use the technology to better plan routes and meet deadlines. The offshore drilling industry will see improvements. Improved machinery and a greater understanding of computational fluid dynamics leads to more efficient drilling, which will not only help the environment but will also reduce the costs necessary to facilitate such operations.

9 Technical challenges Large volume of data to be processed Numerical methods highly scalable in HPC Companies do not have computational resources to tackle such amount of computational intensive simulations. Companie s own codes are not optimised or parallelised properly impacting in the efficiency and walltime simulations Huge number of possible configurations, set-up and conditions to be tested. Several number of simulations are needed to provide reliable results.

10 Data challenges Data transfer from HPC centre to client is usually a bottleneck due to the large files generated by the simulations. Storage requirements are increasingly growing mainly due to the study of larger systems or increase on the numerical grids for higher accuracy. Medium to long term data storage for re-analyses. Data protection/privacy.

11 How HPC centres may help Advise on proper data management strategies, taking into account the most appropriate infrastructures for different types of data (e.g. short vs long term storage requirements). High-bandwidth networking solutions and tools for faster acquisition of data from remote sites, e.g. from local clusters or private data to be processed. Production HPC systems often not suited for long-term storage, but there may be local data archiving services and facilities. Provision of isolated, sandboxed systems for sensitive data. Help with procurement of appropriate in-house data solutions.

12 What code should I use? There are wide variety of packages which allow simulations depending on the target properties. Scalability of each code depends on the type of problem to be solved.

13 Example of codes #1 Electronics properties STAR-CCM+ is a complete multidisciplinary platform for the simulation of products and designs operating under real-world conditions. Full-scale CDF simulations of vessels Real-world operating conditions

Example of codes #2 Molecular Dynamics ANSYS suite is the most-powerful computational fluid dynamics (CFD) tool. Model waves, boat buoyancy and motion.

14 Example of codes #2 Molecular Dynamics ANSYS suite is the most-powerful computational fluid dynamics (CFD) tool. Model waves, boat buoyancy and motion. Fluid dynamics, multiphysics applications, improve the designs of the oars and paddle blades. Optimized hydrodynamics for different classes of boats. OpenFoam Complex fluid flows involving chemical reactions, turbulence and heat transfer, to acoustics, solid mechanics and electromagneticsab initio molecular dynamics simulations of solids. Used by both commercial and academic organisations.

BLUE GROWTH BY GLINTT

BLUE GROWTH BY GLINTT # DNA GLINTT INOV WAS BORN IN 2011 AND IS RECOGNISED AS PART OF THE PORTUGUESE SCIENTIFIC AND TECHNOLOGICAL BODY SINCE 2013. Software Engineers Naval Architects Chemical Engineers