November 09, 2010
For a more detailed description of how we chose our winners for our first annual HPC in the Cloud Editors’ Choice awards, please read this post, which provides some necessary background and links to the full list of winners and descriptions.
Choosing an all-purpose cloud innovation leader that spans the grid to cloud movement and also touches both scientific and large enterprise means selecting from a relatively short list, but Platform Computing does indeed fit the bill on both of these fronts.
The company has been a force since it was formed, but it’s only been one year that they’ve been able to extend some of their core benefits to the realm of cloud computing with the launch of Platform ISF. This software, which is widely used, allows users to build and manage their own private cloud infrastructure—both in term of managing the in-house and virtualized resources—while supporting a wide array of configurations.
Platform’s roots lie in making distributed systems act as one, thus eliminating a large amount of the complexity involved in cluster management. Its first customers were in industry and now, fourteen years later, Platform has a broad user base in scientific computing as well as in large-scale organizations.
Aside from its longevity and continued refinement of existing solutions for grids, clusters and now private clouds, Platform was chosen as an innovator due to the constant refinements it has been making to its core products.
We expect to see a number of new developments in the coming year from this company as well, particularly on the HPC and cloud fronts as Platform attempts to make HPC more accessible to a broader array of users.
Some of Platform’s users include CERN, Harvard Medical School, the Singapore National Grid, Citigroup, and a number of university systems.
This summer, we interviewed Platform’s co-founder and CEO, Songnian Zhou about the company’s roots in academia and how it has made the transition from a concept to a business that has remained profitable since its inception. For those interested, the full interview can be found in this June, 2010 article.
In this photo, HPC in the Cloud publisher, Tom Tabor presents Platform's Ken Hertzler and Randy Clark with the award.
Posted by Nicole Hemsoth - November 09, 2010 @ 7:21 PM, Pacific Standard Time
![]()
Nicole Hemsoth is the managing editor of HPC in the Cloud and will discuss a range of overarching issues related to HPC-specific cloud topics in posts.
No Recent Blog Comments
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.