February 06, 2013
A team of Croatian researchers published a paper in the January 2013 edition of Scientific-professional Journal of Technical Faculties of University in Osijek examining the present state of high-performance computing in the cloud with an emphasis on currently-available solutions.
The authors provide a review of the key benefits of cloud: namely better resource utilization, efficient charge back mechanisms, on-demand provisioning and dynamic reallocation, and the potential to resolve peak workload demands (aka bursting).
In spite of these many advantages, however, HPC cloud still faces an uphill battle as it seeks to address technical and cultural barriers. Accordingly, the majority of HPC solutions continue to be the traditional, earth-bound variety. The biggest challenge is I/O-related. The slow network speeds and commodity interconnects that characterize most clouds present significant bottlenecks to data-intensive applications. But there are additional contributing factors underlying the slow rate of adoption, the authors observe. Virtualization, for example, adds a layer of complexity that is an anathema to the most latency-sensitive HPC workloads, while a growing reliance on co-processors presents its own set of challenges for HPC scaling.
HPC vendors are in the interesting position of being able to either support or retard the HPC cloud model. When it comes to developing cloud-friendly software models, the major ISVs have dragged their feet, not wanting to risk the cannibalization of proven income streams. But there are signs of momentum with most vendors now offering some level of cloud offering.
The researchers make the case that HPC vendors have indeed begun offering "fully functional HPC cloud solution[s]." In light of this, they recommend a set of helpful questions for would-be adopters:
The paper includes an overview of several current first, second and third-tier HPC cloud solutions.
The authors hope that their work will act as a "helpful compass for someone trying to shift from standard HPC to large computations in cloud environments."
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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The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
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Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.