December 19, 2005
Princeton University is a recipient of the Sun Grid
Education Grant for 100,000 hours of central processing units (CPUs) on
the Sun Grid Compute Utility. Sun Grid helps customers and partners
derive immediate benefits from an open, Grid-based computing
infrastructure on a utility basis by giving them more choice and
control over how they purchase and leverage IT. To date, Princeton, a
leading research institution and undergraduate college, has used nearly
11,000 CPU hours on the Sun Grid Compute Utility.
Sun awarded Princeton the Sun Grid Education Grant to further expand
Princeton's cutting-edge research to verify new numerical algorithms
for astrophysical gas dynamics running on Sun Grid. Powered by Sun Grid
using the Solaris 10 Operating System (OS), Princeton conducted its
tests at resolutions that previously were not possible, without the
long-term lifecycle costs related to capital, management, depreciation
and floor space. This 100,000 hour grant will be available for
Princeton to use as they need, without reservation or intervention from
Sun, accessible via the Sun Grid. The grant will take effect Jan. 1, 2006.
"I'm very impressed with Sun Grid's rapid turnaround time -- there's
no waiting in a queue for access to computing power," said Thomas A.
Gardiner, department of astrophysical sciences at Princeton.
"Because we'll be able to access massive compute power whenever we need
with Sun Grid, our astrophysics research is now less constrained by IT
infrastructure issues. Sun's donation is a big boost in our efforts to
unlock the mysteries of the universe."
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.
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.
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.