June 02, 2011
ARM has consistently gone on record to tout its offerings for HPC to match rival Intel’s claims. However, they have been rather mum when it comes to involvement with cloud computing in this context.
According Ian Drew, the company has plans to continue tackling the high performance compu
ting market. He told an audience of potential partners this week in Taipei that the company’s 2020 vision is to move into new arenas, including high performance cloud computing.
It is significant that he gave the talk in Taiwan as almost half of ARM’s business comes from the APAC region with 40 percent in North America and 14 percent in Europe.
During Drew’s speech he touched on some of the larger issues the company will be addressing under the 2020 vision, including the broad matters of functionality and energy. He told the audience that “low power hardware is really the future driver.”
Back in September of 2010 with the launch of Eagle the first hints that this was on the horizon emerged amidst discussions about their 2.5 GHz Cortex A15 “Eagle” processor. This was not meant for the smartphone market, but rather, as EE Times reported, “at the network infrastructure, server and cloud computing space. The A15 architecture is designed for big machine problems…the total address space is 1 terabyte, far in excess of the needs of mobile or embedded computing.”
Full story at TechEye
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.
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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).
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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.
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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.