It is no secret that many large organizations have an insatiable appetite for computing power. With large clusters, the challenge is not just building the cluster – rather it is building it quickly and reliably using full automation. Navops Launch can provision and manage both virtual and bare-metal environments and includes a cloud-specific adapter for Amazon EC2. Navops Launch policy automation enables organizations to dynamically create, scale, and tear-down cloud-based infrastructure in response to changing workload demand.
Million core clusters are not entirely new, but clusters at this scale are rarer than one might think. Only four clusters on the global Top500 feature more than 1,000,000 cores, and all of these owe their large core counts to GPUs or many-core processor designs. To put things in perspective, the recently announced ORNL Summit Supercomputer (regarded as the world’s largest) has 202,750 Power9 cores (excluding cores on the Nvidia Volta GPUs). Conventional processor core counts are more representative of the scale of the provisioning and workload management challenges in fields like Electronic Design and Automation (EDA), Life Sciences or Financial Services.
Whether in life sciences, deep learning, or semiconductor design, building quality products and getting to market fast often demands extensive computer simulation. Enterprises compete in-part based on the scale, performance, and cost-efficiency of their high-performance computing (HPC) environments.
In chip design, device validation and regression testing are massively compute-intensive operations. Modern VLSI and system on a chip (SoC) designs are comprised of millions of gates, and any minor design change requires that millions of digital and analog simulations be re-run to ensure that the device continues to function and has not “regressed”. With tape out costs in the range of 10-15 million dollars, organizations cannot afford to make a mistake in device design and verification.
Owing to the cyclical nature of chip design projects where large clusters are often needed for a short time, cloud environments are becoming a compelling environment for EDA workloads. With advances in cloud offerings and more cloud-friendly licensing models from software vendors, the barriers to running in the cloud are falling away.
Users that want to get started with Univa Grid Engine and Navops Launch on AWS can try the software on the AWS Marketplace or learn more by visiting the Univa Grid Engine AWS Marketplace resource page. You can also visit https://univa.com for additional information
For more information you can also visit Univa at booth 1255, online at www.univa.com or contact us by email at firstname.lastname@example.org
About Univa Corporation
Univa is the leading independent provider of software-defined computing infrastructure and workload orchestration solutions. Univa's intelligent cluster management software increases efficiency while accelerating enterprise migration to hybrid clouds. Millions of compute cores are currently managed by Univa products in industries such as life sciences, manufacturing, oil and gas, transportation and financial services. We help hundreds of companies to manage thousands of applications and run billions of tasks every day. Univa is headquartered in Chicago, with offices in Toronto and Munich.
2017 Estimate based on 7nm process technology - https://www.quora.com/How-much-does-an-integrated-circuit-chip-tape-out-cost