June 09, 2011
Although Intel is fast at work with its many-core architecture push, they claim that when it comes to cloud hardware, their Xeon is the reigning champion.
According to Intel, the processor is seeing widespread adoption in enterprise hardware but they assume this will evolve as the demands for lower power consumption and mounting numbers of parallel applications for the cloud pop up.
According to Alan Priestly, Intel’s Enterprise Marketing Manager, “When IT organizations are moving to the cloud, they’re typically moving from Xeon architectures…we need capacity in the cloud to take the workloads that we’ve got in legacy data centers today and run it in cloud-like environments. That’s where Xeon fits in.
Intel has suggested that its upcoming MIC and single-chip cloud computer projects will bring in 48-cores but for cloud or other purposes, developing code architectures that can distribute programs across all of these cores and chips is still going to be a challenge.
As Priestly said, “The 48-core scheme is purely for research, to allow people to play with code compilers.”
Full story at ZDnet
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.
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.