October 17, 2011
Lawrence Berkeley National Laboratory (LBNL) is one of a number of research institutions that has “outsourced” basic functions, including email, ERP and human resources, to cloud service providers, including Google. However, this week the facility’s CIO, Rosio Alvarez pointed to new directions in cloud use at LBNL.
According to Alvarez, Berkeley is considering moving its high performance computing capabilities to the web. She says that the lab already is looking at a 20 percent growth rate in the general need for access to high performance computing resources each year and that this is putting great weight on their current datacenter facilities.
Alvarez said that the increased demand for access to high performance computing resources means that her office is either tasked with buying new equipment more often or looking beyond traditional datacenter operations to the clouds.
As Alvarez told Federal News Radio this week, “We are looking at ways to use cloud offerings to provide those cycles to researchers rather than bring in more hardware.” She says the evaluation process is already underway and two or three providers have been examined as possible options to handle some of LBNL’s HPC growth.
Full story at Federal News Radio
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...
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.