November 13, 2012
FREMONT, Calif., Nov. 13 – Penguin Computing today announced the immediate availability of new access and management features on its public HPC cloud Penguin Computing on Demand (POD).
POD’s new sign-up automation enables immediate user access to Penguin’s on-demand infrastructure. The sign-up procedure has been reduced to a simple process: After completion of a short web-based sign-up form, new users select an operating system image for a virtual gateway node that is then provisioned instantly for launch. After a virtual gateway server has been launched users can access POD’s HPC infrastructure by submitting compute jobs through a scheduler of choice. The POD compute infrastructure itself executes HPC compute jobs directly on physical compute nodes to ensure optimal performance and enable the use of Infiniband interconnects and GPUs.
POD’s new capabilities also include a web-based management dashboard. The dashboard enables privileged administrators to create and manage POD end-user accounts, assign accounts to gateway nodes, manage virtual gateway images and allocate storage resources. The dashboard also provides a graphical user interface for monitoring resource usage and track cycle and storage expenses.
Under the hood of the new management capabilities is a new storage system that is based on the distributed open-source storage system Ceph, which supports distributed file-based, block-based and object-based storage. The management of virtual gateway servers leverages OpenStack, an open-source solution for creating and managing large groups of virtual servers in cloud computing environments.
“With our new instant sign-up capability and management dashboard we have reached a milestone for POD. Penguin is now the only cycle provider that offers instant access to non-virtualized HPC compute resources,” says Tom Coull, GM of Software and Services at Penguin Computing. “We are also very excited about our new dashboard functionality that we developed in response to feedback from POD resellers and administrators at our largest customer sites who can now better support their POD consumers and track their respective resource usage.”
Penguin also announced today that due to the tremendous demand for POD cycles it has been increasing the available POD compute capacity by over 30%.
Live demos of the new features as well as live customer demos by Michael Waltrip Racing, Callaway Golf and IMMI will be shown in Penguin Computing’s booth 1217 at SC’12 in Salt Lake City from Nov. 12-15.
About Penguin Computing
For well over a decade Penguin Computing has been dedicated to delivering complete, integrated Enterprise and High Performance Computing (HPC) solutions that are innovative, cost effective, and easy to use. Penguin offers a complete end-to-end portfolio of products and solutions including workstations, rackmount servers, custom server designs, power efficient rack solutions and turnkey clusters. Penguin also offers the Scyld suite of software products for efficient provisioning and infrastructure monitoring. Additionally, Penguin Computing on Demand (POD), is a public HPC cloud that is available instantly and as needed. Penguin counts some of the world’s most demanding organizations as its customers, including AOL, Yelp, Caterpillar, Life Technologies, Dolby, Lockheed Martin and the US Air Force.
-----
Source: Penguin Computing
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.