August 08, 2011
This week brought great news for small animation filmmakers around the world following the announcement that Pixar’s proprietary rendering software would soon be delivered via the cloud.
One of the most talked about cloud-based supercomputing application development startups this year, GreenButton, has announced that it has partnered with Pixar studios to enable web-based access to its famous RenderMan software.
RenderMan has been at the root of some of the most popular animated films in the last decade, including Cars, Lord of the Rings and Avatar.
GreenButton has scored over $1 million in funding from big names in technology, including Microsoft to develop applications that can be built into SaaS applications running on hosted HPC resources. Furthermore, the RenderMan software will reside on the Windows Azure cloud computing platform, enhancing Microsoft’s cloud visibility by bringing more developers, designers and other tech-savvy creatives into its fold.
As GreenButton’s CMO stated, the company plans to rent out the RenderMan software and processing power to users over the internet and split the revenue with Pixar. The report went on to note that “the software and computing grunt needed to power it had traditionally been beyond the budgets of small to mid-tier animation and visual effects firms or one-man operations.”
All talk about the actual license and usage costs aside (those details are still shrouded), this could spark a new era of high-end filmmaking by smaller companies, bringing an explosion of new, expertly animated and rendered entertainment.
Full story at Stuff.co.nz
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.