Life sciences, finance, government and numerous other organizations are relying on their HPC clusters for their daily operations. But how can you powerfully scale this type of environment? Learn how cloud services offer you dynamic control over both workloads and resources.
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.
“How can capital markets firms handle the computational challenges presented by regulatory mandates and big data? Chances are the solution will involve high-performance computing powered by parallelism, or the ability to leverage multiple hardware resources to run code simultaneously. But while hardware architectures have been moving in that direction for years, many firms’ software isn’t written to take advantage of multiple threads of execution.”
“During the previous GTC, Murex has shown how the company had adapted their generic Monte-Carlo & PDE codes compatible with a payoff language. With one more year of experience with GPUs and OpenCL Murex will show how the company has broadened the usage of GPUs for other subjects like vanilla screening or model calibration and focus on their new challenge: use as many GPUs as possible for one single computation.”