November 27, 2006
Hewlett-Packard Corporation (HP) has chosen the QLogic 4 Gb PCI-Express HBAs for refresh of HP's MSA1500 and MSA1000 SAN "Starter Kits." These bundles utilize the HP StorageWorks FC1142SR PCIe 4 Gb Fibre Channel HBA. QLogic claims that companies that invest in HP's new ProLiant servers with PCI-Express slots can use these kits to streamline implementation and achieve higher SAN performance and reliability.
The 4 Gb performance of QLogic's PCIe HBAs -- which the company claims generate 150K IOPs per channel -- as well as interoperability with common Windows and Linux drivers for 2 Gb and 4 Gb HBAs, were significant factors in HP's choice of QLogic as a component vendor for its customer SANs. In addition, according to QLogic, the Linux driver now embodies a superior failover feature, helping provide enhanced availability for customer SANs and consequent higher investment value.
HP's latest choice underscores its relationship with QLogic, a SAN provider and vendor of high-performance HBAs. The QLogic SANPro product family is an important part of the 4 Gb HBA category sought by the HP community of customers, resellers and sales organizations.
"We are particularly pleased to be able to offer HP SAN customers the advanced performance and interoperability features of QLogic HBAs," said Kyle Fitze, director of marketing for HP StorageWorks Division. "As more customers choose HP as a SAN provider, we are confident that QLogic HBAs will help them achieve the best technology and business solution."
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.
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).
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.
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.