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.
As an open source tool designed to navigate large amounts of data, Hadoop continues to find new uses in HPC. Managing a Hadoop cluster is different than managing an HPC cluster, however. It requires mastering some new concepts, but the hardware is basically the same and many Hadoop clusters now include GPUs to facilitate deep learning.
Massive amounts of computing power and data are needed for effective and efficient processing for many areas that are considered in the Life Science domain. From drug design to genomic sequencing and risk analysis , many workflows require that the tools and processes be in place so that entire organizations are more effective.
HPC developers want to write code and create new applications. The advanced nature of HPC often requires that this process be associated with specific hardware and software environment present on a given HPC resource. Developers want to extract the maximum performance from HPC hardware and at the same time not get mired down in the complexities of software tool chains and dependencies.
Cisco UCS solutions allow for a faster and more optimized deployment of a computing infrastructure. This solution brief details how the Cisco UCS infrastructure can help your organization become more productive more quickly and can achieve business results without having to be concerned with fitting together various pieces of disparate hardware and software.
Creating a large server farm with fast CPUs doesn’t map well to applications that require storage connectivity, as most do, or socket to socket communication within the overall system. Thus, a flexible and high speed networking solution is critical to the overall performance of the computing system.
While large scale supercomputing centers continue to push the boundaries of the ability to process numerical information, either HPC like or Big Data like, a concern is the ability for the datacenter to power and cool such large installations. The new Cray XC Supercomputer is an energy efficient advancement to the traditional cluster.
Daniel Gutierrez, Managing Editor, of insideBIGDATA has put together a terrific Guide to Scientific Research. The goal of this paper is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.