April 30, 2010
April 30 -- SARA is developing a High Performance Compute Cloud for the scientific community, funded by BiG Grid. Currently this HPC Cloud is offered in beta to a selected group of scientific users for evaluation purposes. Members of the Dutch scientific community are invited to apply for evaluation use of the HPC Cloud.
With this newly-developed High Performance Computing (HPC) Cloud, environment researchers are provided with access to their own Virtual Private HPC Cluster. It is a virtualized HPC Cluster that can be configured to exactly match their needs, without interfering with the needs of other users. It is flexible, offers self service and is dynamically scalable.
Users can start from existing templates (images), or build their own cluster from scratch. It is even possible to make a copy from their current software environment (for example their laptop or desktop pc) and turn that into a HPC cluster in the Cloud. In that way, there will hardly be any difference between their development environment and their production environment. There is no need for an (expensive) rewrite of their software, and scientific challenges can be scaled up very easily from desktop scale to high performance compute cluster scale.
When you wish to participate in this beta phase and want to make use of the developed service, you are welcomed to submit a short proposal to claudia-support@sara.nl before midnight, May 12, 2010. Procedures and details are specified below.
Proposals (250-500 words) should consist of:
What can be applied for?
What is expected of successful applicants?
These and additional details can be found at https://grid.sara.nl/wiki/index.php/Using_the_HPC_Cloud/betaevaluation.
The SARA support team will actively support the implementation of your planned activities. They are especially interested in applications which are difficult or near impossible to run on the existing HPC platforms (Huygens, Lisa, Grid), but do run in your local environment.
In this beta phase we strive to offer a full production grade environment, but we are however continuously improving the technical environment as well as the ways of working. This may have consequences on stability and availability.
We are looking forward to your proposals and ideas.
Mail: claudia-support@sara.nl
Phone: +31 6.533.919.31
-----
Source: SARA HPC Cloud Support Team
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.