While there is much discussion and products in the market regarding cloud computing and the ability to spin up a virtual machines quickly and efficiently, the fact remains that without planning for cloud based storage, the data will get lost. Simply put, without storage, there is no data.
High Performance Computing (HPC) in the cloud has become a hot topic with new offerings targeted at this market. The demands of technical computing professional to use the cloud for HPC workloads are different than that of a general enterprise software requirement. Performance is key, which requires a different infrastructure at the cloud providers premises.
Jim Ganthier from Dell presented this talk at the HPC User Forum. “Dell HPC solutions are deployed across the globe as the computational foundation for industrial, academic and governmental research critical to scientific advancement and economic and global competitiveness. With the richness of the Dell enterprise portfolio, HPC customers are increasingly relying on Dell HPC experts to provide integrated, turnkey solutions and services resulting in enhanced performance, reliability and simplicity.”
Cloud computing is another tool that is helping the wind power sector up its game. “We are seeing movement from most engineering companies to cloud computing as the economics are better and the security of the cloud has improved. Additionally, massive amounts of resources are available cheaply and bandwidth has increased to match the needs of the wind power simulation space.”
Today Mellanox announced that the HPC4Health Consortium, led by The Hospital for Sick Children (SickKids) and the University Health Network’s Princess Margaret Cancer Centre, has selected its InfiniBand networking solutions to improve patient care and help researchers to optimize treatment with the ultimate goal of finding a cure for cancer. The end-to-end FDR 56Gb/s InfiniBand networking solution was adopted as the foundation of the center’s cancer and genomics program, to accelerate the sharing, processing and analysis of data generated from radiology imaging, medical imaging analysis, protein folding, x-ray diffraction in order to improve patient care and expedite cancer research.
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.