Both large-scale environments and scale-out workloads (such as Big Data) are becoming more important in the enterprise. In fact, with the rise of Big Data, the advent of affordable, powerful clusters, and strategies that take advantage of commodity systems for scale-out applications, these days the enterprise computing environment is looking a lot like HPC.
IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.
The recent release of a commercial version of the Lustre* parallel file system was big news for business data centers facing ever expanding data analysis and storage demands. Now, Lustre, the predominant high-performing file system installed in most of the supercomputer installations around the world, could be deployed to business customers in a hardened, tested, easy to manage and fully supported distribution.
The software defined data center is the underlying data center architecture that allows most IT infrastructure to be defined in software and to function as enterprise-wide resources. This approach enables ITaaS to be delivered in a virtualized environment with greater agility, speed and quality of service.
Recent announcements, analyst reports, conferences and anecdotal evidence point to a certain upswing for high performance computing in industry. Many industries have reaped the benefit of HPC for considerable time and are now stepping up a gear with their systems – some even on a par with national facilities, in order to maintain or extend their advantage. Whether in upstream exploration, engine design or aerodynamics – if you can scale up or scale out, you can derive advantage.
Over the past several years, virtualization has made major inroads into enterprise IT infrastructures. And now it is moving into the realm of high performance computing (HPC), especially for such compute intensive applications as electronic design automation (EDA), life sciences, financial services and digital media entertainment. This article is the first in a series that explores the benefits the HPC community can achieve by adopting proven virtualization and cloud technologies.