At Univa, we continue to see rapid growth in GPU adoption in applications ranging from Deep Learning to Inference to traditional HPC. Many factors are driving increased GPU adoption: GPU applications deliver better performance They are more cost-efficient They are…
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…
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…
TEDOG. That’s how I think of the Disruptive Technology track at Rice University’s annual Oil & Gas HPC Conference. That being the case, the idea I chose to spread at this year’s event had to do with containers – open…
