Modern manufacturing increasingly relies on advanced computing technologies for digital modeling and simulation, applications used by engineers for product design, analysis and testing. By creating digital models, manufacturers are able to subject their designs to manufacturability analysis and performance testing, without the need for physical mockups. Benefits include improved product quality, shorter time to market, and reduced manufacturing costs.
The manufacturing segment is comprised of both large-product and consumer product manufacturing, which together encompass household products, consumer devices, automobiles, ships, aircraft, military equipment, and construction equipment. The largest manufacturers have used high performance computing (HPC) technologies for decades, employing computer-aided engineering (CAE) and computational fluid dynamics (CFD) to conceive and test new products to as well as maintain older ones. Meanwhile, consumer product manufacturing and component manufacturers in the large product tool chain, while under represented, are increasing employing HPC at small and medium-sized companies.
At Adaptive Computing we’ve focused on workload and resource orchestration for more than 10 years with a major emphasis on supporting manufacturing needs. The company’s Moab-branded products, which can operate across traditional HPC clusters, grids, private clouds, and public clouds, have been designed to provide automated job scheduling and resource management for many types of complex workflows, such as those found in manufacturing, to provide ease-of-use driven productivity. They are geared for complex workloads in both technical and business environments, where application performance, scalability and end-user and admin productivity are paramount to the organization’s mission.