June 05, 2012
Over recent years, China has seen exponential growth in HPC investments. Last week, a post from the China Daily points out that the country is not stopping there. The government has taken notice of cloud computing and is quickly ramping up funding for its cloud-based infrastructure.
According to IDC figures referenced in the article, China spent $285.8 million on cloud infrastructure last year – that's 10 percent of the global market. The numbers keep going up; future predictions from IDC show China's cloud investment will extend to just over one billion dollars by the year 2016.
Last year, the country's Ministry of Industry and Information Technology outlined the country's cloud computing roadmap, naming pilot and demonstration cities. According to Wu Lianfeng, associate vice president of IDC China,the cities of Beijing, Hangzhou, Shanghai, Shenzen, and Wuxi were selected to host model cloud projects.
Aside from the current project cities, Wu mentioned that an additional eight cities and provinces had announced their own cloud computing strategies. If all plans pan out, the country could end up hosting in excess of 10 million cloud nodes valued at $270 billion.
Beyond these initiatives, a national cloud computing industry development plan was recently approved by the central government. Specific details have not been published yet, but there are already a number of cloud deployments in the country and a variety of use cases.
So far, four HPC-connected facilities have been built in Shenzhen, Jinan, Chengdu and Changsha. Workloads range from agriculture and telecommunications to weather forecasting. All four sites came online within a 14-month window.
Other developments have come from the Shibei hospital in Shanghai, where the country's first cloud for healthcare was established in March of 2011. Also, the Qingdao municipal government has partnered with Inspur Corp. to establish a cloud computing platform for e-government needs.
Given the evidence, it's no secret that the Chinese government considers cloud computing a chief driver of the IT industry and e-government. This stance was outlined in the country's 12th Five-Year Plan (2011-2015).
While the message and numbers are impressive, a number of experts believe that China is not focusing enough resources on software development. The IDC survey backed these claims, reporting that only 30 percent of companies and organizations were able to deliver detailed explanations about their cloud applications.
If funding fails to spur application development, China's high dollar investments may be underutilized or go to waste.
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.