February 25, 2013
PITTSBURGH, Pa., Feb. 25 – Carnegie Mellon University's innovative Parallel Data Lab (PDL) has received $487,500 for cloud computing research from Intel, the world's largest manufacturer of semiconductor products.
"This financial support affords us an excellent platform for open collaboration research into the underlying technologies so essential to allowing cloud computing to reach the promise of dramatically improving efficiency, ubiquity and productivity for all scales of user–facing applications across many areas of information technology," said PDL Director Gregory Ganger, the Stephen F. Jatras Professor of Electrical and Computer Engineering at CMU.
Ganger also is a co-principal investigator of the Intel Science and Research Center (ISTC) for cloud computing at CMU along with Phil Gibbons, an Intel research scientist and an adjunct professor in computer science.
"This support helps drive development and implementation of strategies to explore emerging technologies within a university research environment," said Scott Buck, university program officer for Intel.
Ganger, an expert in the risks and benefits of cloud computing, reports that cloud computing has the potential to provide large efficiency improvements for both industry and federal government information technology functions. Cloud computing involves using someone else's computers (and possibly software) to accomplish a task rather than one's own. Ganger has recommended that the U.S. government support standardization and research experimentation efforts in pursuit of cloud computing's potential.
For more than a decade, Intel has supported novel research by CMU faculty, including research into embedded computing designed to transform future experiences in the home, car and retail environment.
Source: Carnegie Mellon
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.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.