This paper will look at how remote 3D virtual desktop technology can be applied in two usage modes within the scientific and technical computing arena . First, as an HPC remote visualisation platform deployed to provide real time graphical access to large scale data sets stored within the HPC data center . Second, to provide a full 3D capable virtual workstation solution as a replacement of traditional fixed under-desk workstation solutions .
2013 has been an exciting year for the field of Statistics and Big Data, with the release of the new R version 3.0.0. We discuss a few topics in this area, providing toy examples and supporting code for configuring and using Amazon’s EC2 Computing Cloud. There are other ways to get the job done, of course. But we found it helpful to build the infrastructure on Amazon from scratch, and hope others might find it useful, too.
When it comes to generating increasingly larger data sets and stretching the limits of high performance computing (HPC), the field of genomics and next generation sequencing (NGS) is in the forefront.
The major impetus for this data explosion began in 1990 when the U.S. kicked off the Human Genome Project, an ambitious project designed to sequence the three billion base pairs that constitute the complete set of DNA in the human body. Eleven years and $3 billion later the deed was done. This breakthrough was followed by a massive upsurge in genomics research and development that included rapid advances in sequencing using the power of HPC. Today an individual’s genome can be sequenced overnight for less than $1,000.
Analytics is becoming increasingly important for industrial companies. With good results too – a simple and brief web search on the topic will reveal case after case of $1 million plus in cost savings. On the other side of that coin is the burden traditional analytics approaches have taken on IT organizations.
This paper is the first to explore a recent breakthrough with the introduction of the High Performance Computing (HPC) industry’s first Intelligence Community Directive (ICD) 503 (DCID 6/3 PL4) certified compliant and secure scale-out parallel file system solution, Seagate ClusterStorTM Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multi-Level Security (MLS) framework at Big Data and HPC Scale.
This white paper reviews common HPC-environment challenges and outlines solutions that can help IT professionals deliver best-in-class HPC cloud solutions—without undue stress and organizational chaos.
IT organizations are facing increasing pressure to deliver critical services to their users while their budgets are either reduced or maintained at current levels. New technologies have the potential to deliver industry-changing information to users who need data in real time, but only if the IT infrastructure is designed and implemented to do so. While computing power continues to decline in cost, the management of large data centers, together with the associated costs of running these data centers, increases. The server administration over the life of the computer asset will consume about 75 percent of the total cost.
The traditional HPC and commercial markets have been converging as established HPC users increase their use of newer analytics methods and commercial firms turn to HPC for mission-critical analytics problems that enterprise technology alone can’t handle adequately. Key verticals exploiting HPDA include financial services, healthcare/bioinformatics, energy, cybersecurity/fraud, manufacturing, online retailers and service providers, digital content creation, telecommunications, government, and academia. Key horizontal applications include simulation, fraud and anomaly detection, business intelligence/business analytics, machine learning/deep learning, affinity marketing, and advanced visualization.
IBM® Platform ComputingTM cluster, grid and high-performance computing (HPC) cloud management software can help transform your environment to deliver results better, faster and at less expense. IBM Platform Computing products are designed to save money by making an organization’s existing infrastructure work better.
In conference rooms worldwide, enterprise IT departments are evaluating entry into ‘the cloud’. Armed with media reports and marketing materials, they are considering questions like, “Is the cloud appropriate for critical workloads? Will the cloud really save time and money? Does the cloud pose a security risk?”
There’s only one problem with such due diligence: there’s no such thing as ‘the cloud’. Instead, there are multiple clouds, with different configurations, offered by different providers and representing different degrees of benefit and risk.