SemIsrael Blogs

Speeding up CAE For Agriculture

About the Customer
Escorts Kubota is a renowned engineering conglomerate with a history that spans more than seven decades. The company specializes in agri-machinery, construction and material handling equipment, and railway equipment. Its agri-machinery division has enabled a revolution in India’s agriculture sector by mechanizing farms and enhancing agricultural productivity. Escorts Kubota offers a one-stop, holistic solution for India’s farming community. Internationally, it provides tractors and crop solutions across 70 countries and manufactures tractors across Europe and Asia.

Their Challenge
To accelerate design and development, Escorts Kubota needed to give their engineers easier access to the tools of computer-aided engineering (CAE), an essential framework that transforms the repetitive “design, prototype, test” cycle into a streamlined process where prototypes are only used for final design verification. By using CAE, Escorts Kubota shifts design iterations from physical prototyping and testing to virtual, computer-based simulations, resulting in reduced cycle time and cost savings. CAE simulation jobs require significant amounts of memory and processing power, so high-performance computing (HPC) is required for these resource-intensive CAE calculations. Because data security is critical, Escorts Kubota relies on the robust Red Hat® Enterprise Linux® operating system for unparalleled data protection — but it’s not always easy to learn for CAE engineers. The Escorts Kubota team needed to make it easy for their CAE engineers to work with essential tools.

Our Solution

Altair bridges the gap between Linux and CAE users with an intuitive, secure interface and drag- and-drop options via Altair® AccessTM. Access provides a simple, powerful, and consistent interface for submitting and monitoring jobs on remote clusters and in the cloud, allowing engineers to focus on core activities and spend less time learning how to run applications and move data around. The Access web portal enables users to easily schedule and monitor CAE jobs, and each user can create a profile to save frequently used settings. Customized filters help with better visualization, and engineers can access everything they need via web, desktop, or mobile.

The Escorts Kubota team prioritizes and schedules CAE jobs based on each job’s specific resource requirements. By doing so, they ensure computing resources are being used efficiently and CAE simulations are completed quickly and effectively. They use Altair® PBS Professional® to orchestrate job and memory management, as well as queuing and job prioritization, to optimize resource utilization and reduce server breakdowns. License-based scheduling allows users to run executables based on license availability. Altair® Control® enables easy job management and monitoring for
Escorts Kubota’s HPC administrators, and it delivers usage analytics that enable them to make informed predictions and budget for future requirements.

Results
As technology advances, the demands placed on the team’s resources continue to grow. With Altair solutions, Escorts Kubota’s CAE engineers can take advantage of the power of HPC without needing to be experts in Linux and be more productive without worrying about potential IT headaches. Fast CAE with easy user access accelerates the design cycle with simulation-driven innovation that will keep Escorts Kubota ahead of the competition, leading to more efficient agriculture in India and around the world — and ultimately benefiting everyone on the planet.

Latest Blog Posts

Altair Otis

OTIS MOBILITY IS TRANSFORMING THE WAY WE MOVE About the Customer Otis Mobility is the global leader in elevators and…

Altair Simulating Supernovas in 3D

Everything in our world and beyond is made from a common set of materials — elements — that combine to become the diverse collection of matter all around us.

Argonne Virus Variants

The COVID-19 pandemic has impacted the entire planet, and researchers continue to investigate its catalyst: the SARS-CoV-2 virus and its variants. A team of researchers at Argonne National Laboratory, along with university and industry collaborators, tackled the problem of tracking virus variants by using artificial intelligence (AI).

exostiv labs Feb 2024 Banner
MORE >
Siemens_Electronics_Outlook
Altair Otis
synopsys blog multi die 3d chip
AMIQ Banner

GOLD PARTNERS