January 24, 2013
DENVER, Co., Jan. 24 – ViaWest, one of the largest privately held data center, cloud computing and managed service providers in North America, announces that Bob Newman has been appointed as the company's Chief Operating Officer. Newman will be responsible for ViaWest's operations, including data center management, service delivery, service support, information technology, engineering, security, compliance and customer relations.
"ViaWest's commitment to technical and service excellence starts with its people and it's an honor to lead our Service Management and Support department," states Newman. "This group goes above and beyond for our customers on a day-to-day basis. 2012 was a standout year for the company, with growth across each of our regions and significant additions to our product portfolio. Building on ViaWest's strong foundation, 2013 will be a year of continued momentum and growth."
"We are excited to elevate Bob to Chief Operating Officer," says Nancy Phillips, President and CEO of ViaWest. "His extensive experience and expertise will be critical as he spearheads ViaWest's operations and its customer-centric focus on service excellence."
Newman joined ViaWest in 2010 as Senior Vice President of Service Delivery. His previous information technology management experience includes leadership roles at the LDS Church in Salt Lake City and with Infocrossing, a selective IT outsourcing company, where he succeeded in earning positive customer satisfaction ratings while achieving revenue growth and margin improvement.
ViaWest is one of the largest privately held data center service providers in North America, providing colocation, complex hosting, cloud, and managed services to businesses of all sizes nationwide. ViaWest owns and operates 24 enterprise-class data center facilities in Colorado, Texas, Oregon, Utah, and Nevada, delivering high-quality, flexible solutions designed to support customers' unique business needs.
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.
May 16, 2013 |
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.
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.