Engineers are being asked to do more in less time to meet ever-tightening time-to-market schedules. To do so, they need to accelerate design by making use of advanced engineering software. However, such software requires computing processing power not available in a typical engineering workstation. Learn how a cluster can deliver aggregated computing power from its many processors with many cores to meet the processing demands of more complex engineering software, and therefore deliver results faster than individual workstations.
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.
As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Even in today’s IT environment, cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers.
In late 2010 and throughout 2011, however, we noticed a shift in the HPC market as new workloads such as digital media, various financial services applications, new life sciences applications, on-demand cloud computing services and analytics workloads made their way onto HPC servers. We are now seeing another new trend developing in the HPC space with the introduction of ultra-dense servers.
Everything from life sciences to the financial industry are relying on HPC clusters to perform complex and critical operations. Moving forward, there will be a lot more reliance on various HPC systems. So the all-important question comes in – How do you select, deploy and manage it all? Fortunately, IBM, Intel and NCAR have teamed up to explain their view on best practices selecting an HPC cluster using the process behind building the NCAR Wyoming Supercomputing Center.
High performance technical computing continues to transform the capabilities of organizations across a range of industries—helping them to tackle unprecedented big data analysis, generate competitive business advantage, and expand the limits of science and medicine. To keep pushing those boundaries, organizations are continually seeking ways to get more out of their technical computing systems.
The pressures on storage are intense, so it makes sense to have access to and integration with the most sophisticated and capable storage systems in order to optimize cloud experiences in terms of functional and financial advantages. This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments.