The adoption of computer aided engineering (CAE) powered by high performance computing (HPC) is one of key factors fueling the re-birth of manufacturing. SGI offers an HPC environment that is ideal for CAE solutions. This article is part of 5 article series on how HPC is helping to fuel the growth in manufacturing.
This week article on HPC and Manufacturing is focused on another major consideration for today’s manufacturers which is the the pressure to reduce costs. This, in turn, is driving the need to reduce expensive physical prototyping through the use of modeling and simulation earlier in the design process.
Most IaaS (infrastructure as a service) vendors such as Rackspace, Amazon and Savvis use various virtualization technologies to manage the underlying hardware they build their offerings on. Unfortunately the virtualization technologies used vary from vendor to vendor and are sometimes kept secret. Therefore, the question about virtual machines versus physical machines for high performance computing (HPC) applications is germane to any discussion of HPC in the cloud.
Tighter budgets and a stricter regulatory climate are dictating the need for smaller product envelopes and new material choices. Engineers are tasked with these demands against a backdrop of fewer resources and shrinking time-to-market cycles. Now, you’ll learn how advanced simulation software can dramatically shorten the design phase by allowing engineers to virtually optimize and validate new ideas earlier in the process, minimizing the expense of building physical prototypes and streamlining real-world testing.
In such a demanding and dynamic HPC environment, Cloud Computing technologies, whether deployed as a private cloud or in conjunction with a public cloud, represent a powerful approach to managing technical computing resources. Now, learn how breaking down internal compute silos, by masking underlying HPC complexity to the scientist-clinician researcher user community, and by providing transparency and control to IT managers, cloud computing strategies and tools help organizations of all sizes effectively manage their HPC assets and growing compute workloads that consume them.
Engineers are being asked to do more in less time to meet ever-tightening time-to-market schedules. To do so, they need to accelerate design by making use of advanced engineering software. However, such software requires computing processing power not available in a typical engineering workstation. Learn how a cluster can deliver aggregated computing power from its many processors with many cores to meet the processing demands of more complex engineering software, and therefore deliver results faster than individual workstations.