July 23, 2010
Although it is usually run on desktops at many enterprises, the hardware required to run popular CAD/CAM applications is a primary concern since these applications have high resource demands. As Michael Vizard notes, “in addition, the nature of that work when Autodesk is deployed on premise tends to be sequential because desktop systems can only really process one set of tasks at a time” which means that in the case of Autodesk, there is a clear relationship with delivering this software as a service via the cloud.
Autodesk’s Maufacturing Industry Group’s Director of Digital Simulations, Grant Rochelle, told IT Business Edge that there are efforts underway to bring Autodesk to the cloud, including via Project Cumulus, which we reported on earlier this month as being good news for those in the injection-molding plastic parts industry segment. In addition to this offering, the company is also bringing several of its other popular simulation applications online to help reduce the physical hardware drain. Still, despite these cloud products, there are simply some of these applications that are not fit for the cloud due to the need for heavy-duty graphics processors to back them. As cloud computing providers refine their offerings, however, the cloud may soon be fit to help Autodesk deliver their diverse array of software via a web interface after.
Full story at ITBusinessEdge
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.