February 13, 2013
BUFFALO GROVE, Ill., Feb. 13 – Siemens announces the launch of a new Data Center Infrastructure Management (DCIM) Solution, Datacenter Clarity LC, which bridges the gap between IT and facility management, allowing for smarter decision making and optimized efficiencies using proven technologies.
This exciting solution is Siemens’ first offering in the DCIM space and an important milestone for its increased focus into the broader data center arena. The growing need to efficiently house data in a secure, reliable and resilient environment leverages Siemens’ core areas of expertise.
“Not many companies can match us when it comes to providing and integrating all of the technologies and services needed for today’s data centers,” said John Kovach, Siemens’ new Global Head of Data Centers. “We truly believe that we are the only company that can provide such a broad foundation of proven experience.”
With Datacenter Clarity LC, Siemens has merged two of its proven powerhouse strengths: Siemens’ renowned integration and management capabilities across an entire portfolio of technologies within an enterprise, and a complete data center-specific software suite built upon Siemens Product Lifecycle Management (PLM) software. The Siemens PLM software has more than seven million licensees deployed globally, many in mission critical industries. For example, NASA used the software to digitally design, simulate, analyze and assemble the entire Mars Rover Curiosity, contributing to a successful landing on Mars this past August.
Datacenter Clarity LC was received very positively by attendees when recently previewed at the 2012 Gartner Data Center Conference in December.
“While other companies are trying to piecemeal or patchwork disparate platforms together, we’re able to come in with a complete, proven, scalable platform based on proven technologies already being used in the field,” explained Kovach. “And when you consider our global depth and expertise, you’ll see that Siemens is one of the few companies with the technical capability to successfully execute in any data center environment – almost anywhere in the world.”
Datacenter Clarity LC provides:
Datacenter Clarity LC is a trademark owned and licensed by Maya Heat Transfer Technologies Ltd. Siemens has partnered with MAYA Heat Transfer Technologies, an exclusive Siemens PLM Software & Technology partner, for more than 26 years.
Siemens Infrastructure & Cities Sector, with approximately 87,000 employees worldwide, offers sustainable technologies for metropolitan areas and their infrastructures. Its offerings include complete traffic and transportation systems, intelligent logistics, efficient energy supply, environmentally compatible building technologies, modernization of the way power is transmitted and distributed, and smart consumption of electricity. The sector is comprised of the Rail Systems, Mobility and Logistics, Low and Medium Voltage, Smart Grid and Building Technologies Divisions as well as Osram Sylvania.
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.
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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.
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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.