HPC Eases its Way Into the Cloud

The ongoing journey to bring more enterprise high-performance computing (HPC) workloads into the cloud has been a bumpy one with its share of roadblocks and setbacks. As anyone reading The Next Platform has seen over the years, the challenges have ranged from latency to software licensingapplication portability to networking costs. That doesn’t mean it isn’t happening. Pratt & Whitney has been increasingly leveraging Amazon Web Services (AWS) to help design jet engines and Rescale since its launch in 2011 has offered software platforms and hardware infrastructure that companies can use to run complex scientific and engineering simulations.

Univa is an HPC middleware company whose offerings are designed to make it easier for enterprises to migrate some of their HPC workloads off of their on-premises clusters and into the public cloud. The company’ Navops Launch cloud automation platform is aimed at improving resource utilization, right-sizing the cloud resources to the workload requirements, migrating data to the cloud and creating hybrid cloud environments. It also works in multicloud scenarios; Univa works with high-profile public cloud providers like AWS, Microsoft AzureGoogle Cloud and Oracle Cloud, leverages VMware solutions as well as Docker containers, and uses technologies from the likes of Intel, Nvidia and NetApp. It’s also steeped in open source, working with the Linux Foundation, Open HPC, the Open Container Initiative and the Cloud Native Computing Foundation.

Univa also offers its Grid Engine for distributed resource management, offering such features as monitoring and reporting and GPU and container support. The company over the past couple of years has seen its Navops Launch embraced by a range of organizations. Mellanox Technologies is using Univa’s products to help run silicon design efforts in a hybrid cloud, while eSilicon is using Grid Engine to manage ASIC chip design projects. Western Digital earlier this year announced it is using both Navops Launch and Grid Engine to build a million-core cluster on AWS for simulations used in the design of the company’s next-generation hard disk drives.

Read the full article, by Jeffrey Burt, on TheNextPlatform.com.

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