Zentera Systems and Runtime Design Automation Show Massive Compute Bursting to the Public Cloud at Supercomputing 2015

AUSTIN, Texas, Nov. 16, 2015 /PRNewswire/ — Zentera Systems, Inc., and Runtime Design Automation (RTDA) today announced that they have collaborated to demonstrate the Mentor Graphics® Eldo® circuit simulator massively compute-bursting into the cloud on a secure hybrid network. This production system can be seen for the first time at Supercomputing 2015 this week, Booth #3309, in Austin, TX.

In the demonstration, the Eldo foundry-certified, high-precision circuit simulator from Mentor Graphics is managed by the NetworkComputer™ workload manager from RTDA, provider of infrastructure and design optimization software solutions. The tools run in the public cloud over a hybrid network powered and secured by the Zentera CoIP™ (Cloud over IP) network security fabric.

According to Dr. Andrea Casotto, founder and CEO of Runtime, “More companies are turning to the cloud to boost their compute capacity, giving them more flexibility over compute resource deployment. Our scalable solutions take advantage of the emerging secure cloud.”

NetworkComputer’s low latency and scalable architecture allows it to efficiently handle large distributed supercomputing applications such as design verification, maximizing the cloud compute infrastructure resource utilization and throughput.

“Secure bursting to the cloud is the next frontier for the supercomputing industry,” said Dr. Jaushin Lee, President and CEO of Zentera. “Using Zentera’s CoIP approach significantly simplifies bursting into the cloud by eliminating the need for cumbersome conventional networking techniques. Our on-demand secure networking matches the on-demand burst computing model.”

CoIP allows customers to spin up virtual machines in the cloud, define and implement overlay network connectivity on a virtual network plane and secure compute resources in the hybrid cloud, without disrupting the existing enterprise network or perimeter security. It can be set up and torn down on demand along with the compute capacity leased in the public cloud.