The construction industry is facing several challenges and drivers: access to qualified labour, rising material cost and margin squeeze are just a few.
Through the power of modelling and simulation, we can now significantly reduce the expense and time spent on developing and testing new drugs and medical devices.
High-tech is part of our daily lives, so much so that we take it for granted. We use mobile phones that are more powerful than the technology used to land a man on the Moon.
As every machine becomes connected to collect and transmit data, it’s important to know how to turn this opportunity into real value for your company and your customers.
We craft ships, a complex combination of technological systems, which must safely operate in a very hostile environment, keeping their precious cargo of people or goods safe.
Today, simulation software enables companies to optimize electric and hybrid vehicles, ADAS systems, and self-driving cars by exploring uncharted territories.
With Ansys Battery Simulation, you can achieve better performance, longer battery life, and reduced costs while accelerating the product development process.
One of the key applications of Fluent is in the field of combustion modelling, where it is used to model and optimize the combustion processes in various industries.
Heat exchangers have been used for many years in different applications. Typically we find them in HVAC, refrigeration, power generation, and chemical processing.
The mixing process is an integral component of the process industry, with a wide range of applications utilized to create tailored products that meet the diverse needs of various industries and customers.
Ansys Rotating Machinery application provides advanced software that assists in the design of various types of rotating machinery equipment and enables rapid iteration and improvement of designs.
The energy landscape of our world is currently undergoing a major transformation, towards more sustainable and environmentally-friendly energy sources.
With Neural Concept, design and verification workflow can be improved at least 2-10 times by training a Neural Network with existing data for designs and simulations.
Computational Fluid Dynamics (CFD) simulation products are for engineers who needs to make better and faster decisions and can help reducing the development time and efforts while improving your product’s performance and safety.
Materials information is crucial in engineering and manufacturing as it enables informed decisions. In simulation and modeling, precise materials data is needed to accurately predict real-world behaviour.
Ansys offers structural analysis software solutions that enable engineers of all levels and backgrounds to solve complex structural engineering problems faster and more efficiently.
As supplier of Digital Lab solutions it is natural for us to maintain a strong connection with academic institutions, students, teachers and researchers across the world.
Ansys Startup Program, provided by EDRMedeso, gives you full access to simulation software bundles that are built and priced to help entrepreneurs grow their business quickly and cost-effectively.
All our services are designed to help our clients increase their competitive edge, reach their sustainability goals, and leverage cutting-edge technologies.
Since day one, our customers have been at the centre of our focus. Whether we’re taking care of our existing users or onboarding new customers into our yearly care cycle – quite simply – nothing is more important to us than you, our customer.
At EDRMedeso you learn from some of the industries top experts in their respective fields. With over 1500 collective years of experience in simulation, we provide a host of training sessions to suit your organizations needs
At EDRMedeso, we want to help you in innovating the future. Here you’ll find our upcoming webinars, events, trade shows and seminars, designed to help you maximize your engineering potential.
The only forum for executives and thought leaders to discuss and share cutting edge technology strategies designed to win in the rapidly changing environment!
Core Selection in Rescale through EDRMedeso CloudConnect Explained
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Stuck in the process of selecting cores for Ansys Mechanical in Rescale through EDRMedeso CloudConnect? This guide will walk you through some useful tips and tricks that you can follow to properly get started with your core selection game.
Selecting a proper core type for your simulation can be a daunting task considering the tens of different core types Rescale has to offer. Since the creation of your simulation model may have a large impact on the hardware requirements, there is no silver bullet. To improve your understanding of the process, our tech expert has put together this comprehensive guide for you.
Hardware settings on Rescale
The best way to review the capabilities of different core types is to create a job in Rescale’s web dashboard and check the Hardware Settings tabs.
Large memory cores
If you are running a job for first time and are unsure of how much memory is needed to ensure you don’t run out, it is a good idea to select a high memory core type such as Diamond or Malachite. Afterwards, if you notice you have plenty of headroom, you can switch to a lower memory core type. Also make sure to select an Intel Xeon based CPU, since their AVX-512-instruction set accelerates Mechanical simulations substantially. In the future you can look forward to using AMD processors as well, when their new Genoa Zen 4 EPYC processors launch with the AVX-512 support.
CloudConnect Details
Running a job on a laptop or power desktop is costly in terms of time waiting for simulations (read more in our benchmark). In comparison, the fairly low core count required for most Mechanical simulation jobs, leads to a relatively low cost of hardware for running simulations through CloudConnect. Therefore, it is usually beneficial to use as many cores as possible to reduce the time spent waiting for results and shorten the time that licenses are reserved for your simulation. Aiming for 50k to 200k nodes per core is a good rule of thumb – you can use the CloudConnect Details section to see this exact number.
Element Load Balance Ratio
If you are simulating a certain model multiple times, it is always a good idea to see if it can benefit from using more cores to lower your turnaround times. Another way to check how well your simulation scales is the Element Load Balance Ratio which you find from the solver output (it’s not as scary as it sounds). This tells you what the workload ratio is between highest and least utilized core. If your value is close to 1, it means your simulation parallelized well and could benefit from more core. When it increases, it means that your model is slowed down due to some highly single threaded feature, such as a large undividable contact region.
The 4 steps summarized
The best way to review the capabilities of different core types is to create a job in Rescales web dashboard and check the Hardware Settings tabs.
If you are running a job for first time and you are unsure of how much memory is needed to ensure you don’t run out, it is a good idea to select a high memory core type, such as Diamond or Malachite.
Aiming for 50k to 200k nodes per core is a good rule of thumb – you can use the CloudConnect Details section to see this exact number.
Check the Element Load Balance Ratio in solver output to see how well your simulation parallelized with your current setup, the closer to 1 it is the better.
We hope you find this guide helpful! If you want to know more about CloudConnect or have any questions, read more here or contact us and we will be happy to help you out.