Today Cray announced plans to deliver an HPC-optimized Docker solution for the Cray XC line of supercomputers. Available in 2016, the HPC virtualization capabilities will be offered for the Cray CS400, Cray XE and Cray XK platforms.
Today NUMECA announced that its complete suite of CFD software powered by UberCloud application software containers are now available as a service in any cloud.
Until recently it was my firm belief that cloud computing for engineering applications is one of the next big challenges we have to solve,” said Professor Charles Hirsch, President and founder of NUMECA International, and world-renowned expert on Computational Fluid Dynamics. “But when we came across UberCloud’s new application container technology and containerized all our CFD software packages we were surprised about the ease of use and access to any computing system on demand.”
“Although the use of GPUs has generalized nowadays, including GPUs in current HPC clusters presents several drawbacks mainly related with increased costs. In this talk we present how the use of remote GPU virtualization may overcome these drawbacks while noticeably increasing the overall cluster throughput. The talk presents real throughput measurements by making use of the rCUDA remote GPU virtualization middleware.”
Today Univa announced the Univa Grid Engine Container Edition, which fully incorporates Docker containers into the Univa Grid Engine resource manager. The Container Edition features the unique ability to run containers at scale and blend containers with other workloads and supports heterogeneous applications and technology environments.
In this podcast, Jason Stowe from Cycle Computing describes how the Broad Institute is mapping cancer genes with CycleCloud. According to Stowe, Cycle Computing recently ran a 50,000+ core workload for the Broad Institute with low-cost Preemptible VMs on the Google Compute Engine, performing three decades of cancer research computations in a single afternoon.
The AMD graphics cards are uniquely equipped with AMD Multiuser GPU technology embedded into the GPU delivering consistent and predictable performance,” said Sean Burke, AMD corporate vice president and general manager, Professional Graphics. “When these AMD GPUs are appropriately configured to the needs of an organization, end users get the same access to the GPU no matter their workload. Each user is provided with the virtualized performance to design, create and execute their workflows without any one user tying up the entire GPU.”
The UberCloud has published their 3rd Compendium of HPC Cloud Case Studies. Like its predecessors in 2013 and 2014, this year’s edition draws from a select group of projects undertaken as part of the UberCloud Experiment. “Our efforts are paying off. Based on the experience gained over the past several years, we have now increased the success rate of the individual experiments to almost 100%, as compared to 40% in 2013 and 60% in 2014.”