Among Grid Engine users, there is a high interest in cloud computing. In a recent InsideHPC survey sponsored by Univa, 92% of users said that they were “open to or already using cloud,” and 64% described cloud as “having proven…
Used by thousands of organizations around the world, Univa Grid Engine is one of the world’s most popular and capable grid management systems with a vibrant, growing user community. When application providers describe their support for Grid Engine, they often…
While there are many benefits to leveraging the cloud for HPC, there are challenges as well. Along with security and cost, data handling is consistently identified as a top barrier. Data requirements vary by application, datasets are often large, and…
Why planning for flexibility is the key to success Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. This is validated by our 2018 Univa customer survey where 61% of respondents indicated that they…
GPUs play an important role in HPC accelerating applications from molecular dynamics to deep learning. In previous articles, we’ve discussed how Univa Grid Engine supports efficient scheduling of GPU resources. We’ve also covered Univa Grid Engine support for Docker and…
Building a million core cluster isn’t easy, but here are some tips to help set you on the right path to achieving extreme scale HPC When Amazon approached us to build another one million core cluster, this time with a…
A primer on using Univa Grid Engine with GPU-aware applications In Part I of this two-part article, I provided a short primer on GPUs, explained how they are used in HPC and AI, and covered some of the challenges users…
A primer on using Univa Grid Engine with GPU-aware applications For almost two decades, GPUs (Graphics Processing Units) have been steadily revolutionizing high-performance computing (HPC) and AI. Originally designed for graphics-intensive applications such as gaming and image processing, it didn’t…
Put simply, we can’t wait for SC19. After unveiling Navops Launch 2.0 with newly added Slurm support, we knew this Supercomputing Conference would be one of our most exciting exhibitions to date. Drop by booth 849 from Tuesday, November 19…
Using cloud for HPC can be expensive and a key reason why enterprises are not willing to adopt cloud. However, if managed well, you can leverage cloud resources to meet computational peaks, very quickly resulting in substantial reduction in overall…
