National Center for Supercomputing Applications (NCSA) has a private sector program (PSP) which works with the smaller companies to help them adopt HPC technologies based on the expertise acquired over the past quarter century. By working with these organizations, NCSA can help them to determine the Return on Investment (ROI) of using more computing power to solve real world problems than is possible on smaller, less capable systems.
In many HPC environments, the storage system is an afterthought. While the main focus is on the CPU’s the selection and implementation of the storage hardware and software is critical to an efficient and productive overall HPC environment. Without the ability to move data quickly into and out of the CPU system, the HPC users would not be able to obtain the performance that is expected.
The computational requirements for weather forecasting are driven by the need for higher resolution models for more accurate and extended forecasts. In addition, more physics and chemistry processes are included in the models so we can observe the very fine features of weather behavior. These models operate on 3D grids that encompass the globe. The closer the points on the grid are to each other, the more accurate the results.
Genome sequencing is a technology that can takes advantage of the growing capability of todays ‘ modern HPC systems. Dell is leading the charge in the area of personalized medicine by providing highly tuned systems to perform genomic sequencing and data management. The whitepaper, The InsideHPC Guide to Genomic is a overview of how Dell is providing state-of-the-art solutions to the life science industry.
“We have enabled virtualization for HPC but it’s important to bring the benefits of virtualization to end researchers in a way they can use it, right? So what we have done is we have created the solution plus VMware High-Performance Analytics, which allows researchers to author their own workloads, they can collaborate it, they can clone it, then they can share it with other researchers. And they can modify their workload – they can fine tune it.”
Various industries have adopted or are in the planning and evaluation phase for using the cloud for HPC applications. Within the realm of technical computing, certain workloads are suited to a cloud-based HPC environment. Workloads could be considered either loosely coupled or tightly coupled. In each of the industries discussed in this article, multiple jobs submitted with different input parameters would be loosely coupled and not require a low-latency, high-speed interconnect, while a job that requires the use of multiple systems working in concert would be tightly coupled and need InfiniBand (IB).
In the pantheon of HPC grand challenges, weather forecasting and long term climate simulation rank right up there with the most complex and computationally demanding problems in astrophysics, aeronautics, fusion power, exotic materials, and earthquake prediction, to name just a few. This special reports looks at how HPC takes on the challenge of global weather forecasting and climate research.
In the past few years, accelerated computing has become strategically important for a wide range of applications. To gain performance on a variety of codes, hardware developers and software developers have concentrated their efforts to create systems that can accelerate certain applications by significant amount compared to what was previously possible.
Users in HPC environments have requirements for using a cloud provider that are different than typical enterprise applications. Learn about the key considerations for ensuring maximum performance for running HPC applications in the cloud.
A recent IDC survey indicated that about 25 percent of sites that ran HPC workloads are using some sort of cloud computing, and that just over 30 percent of the HPC workloads were being performed at cloud sites. There are a number of reasons to consider HPC in the cloud. Here are 5 good ones.