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HPC Turbocharges Engineering Productivity

BillMannel

For manufacturers and engineers, an unreliable and lethargic system means losing out on valuable design and production capabilities. Now more than ever, manufacturing and engineering companies are looking to centralized servers, simulation, and other performance-boosting innovations to keep engineers as productive as possible. High performance computing (HPC)-based engineering is integral to the success of manufacturers, allowing them to create an environment that optimizes the product development process, speeds time-to-market, and lowers operating costs.

In addition to streamlining production, HPC-based engineering helps to improve product reliability, customer satisfaction, and sales revenue – particularly as manufacturers adopt state-of-the-art hardware and simulation technologies that save valuable time and resources. Thanks to the new style of IT, advancements in simulation and data optimization enable manufacturers to test and reuse product models, resulting in faster product launches and greater ROI.

To remain relevant in this competitive industry, manufacturers are investing in HPC solutions that are easy to deploy, operate, and scale. Engineers rely heavily on these features to drive system performance and productivity, therefore supporting larger, more sophisticated workloads, providing faster turnaround times, and better managing the demands of simulation-driven design. According to CAD Trends, 3D modeling usage is steadily increasing.

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As companies expand, scalability becomes a major concern for manufacturers who strive to remain operationally efficient while combating latency and bandwidth issues. Limited performance, memory, and storage capabilities of legacy systems are incapable of meeting the demands on today’s manufacturers. Fortunately, HPC solutions offer a few key technologies to address these problems:

  • Accelerators: In many newer setups, accelerators have the ability to provide substantially higher throughput for certain codes. These algorithms benefit significantly from the aid of graphic processing units (GPUs), which are necessary to support the size and complexity of product models.
  • Remote visualization: This tool is a vital component of supercomputing as companies expand globally, data volumes surge, and simulations become increasingly complex. The consolidation of data at a central location offers better data and infrastructure manageability, enhanced data security, and greater collaboration.
  • Data Transfer: Dispersion of simulation users across multiple locations necessitates effective data transfers. Data transfer, which helps alleviate network latency and the high expense of large bandwidths.

By deploying a powerful, purpose-built infrastructure, manufacturers are able to boost productivity, empower design innovation, and extract data-driven insight for engineering decisions. Nand K. Kochhar, Chief Engineer at Ford Motor Company, highlights the vast improvements made by their custom HPC solutions, saying, “The flexibility and speed made possible by HPC lets us simulate a wider range of scenarios. The result is that over the years, with continuous improvements in technology, we have been able to maximize creativity while reducing product development costs dramatically.” Using simulation in place of physical testing not only reduces operating costs but also has a substantial impact on quality and performance while shortening the product development cycle. This continuous improvement allows manufacturers to remain competitive, sustainable, and profitable.

In the high-speed world of manufacturing, the key to success is productivity, productivity, productivity. HPC solutions are supporting this initiative tremendously by providing speed and workload optimization, thus enabling faster time-to-market with increased reliability and ROI. Simulation-driven data volumes will continue to grow in size, and successful manufacturers must continue to take advantage of the latest advances in computing hardware in order to make effective use of large datasets without compromising simulation quality.

 

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About the Author

BillMannel

As the Vice President and General Manager of HPC and AI Segment Solutions in the Data Center Infrastructure Group, I lead worldwide business and portfolio strategy and execution for the fastest growing market segments in HPE’s Data Center Infrastructure Group which includes the recent SGI acquisition and the HPE Apollo portfolio.