March 04, 2013
With the emergence of cloudsourcing and heightened collaboration among inventors, the cloud is becoming an integral part of the manufacturing process. But so far it has made few appearances within the building industry.
However, according to Greg Howes, a founding member of the Digital Fabrication Alliance (DFA), we may soon see the cloud's role expand its reach to aid in the design and construction of everything from houses to skyscrapers. In a recent interview with Earl Dodd, president of Ideas and Machines, Howes explained that cloud's window of opportunity has been built into digital fabrication – a small but growing subset of the multi-trillion dollar building industry.
There, a number of architecture, engineering and construction (AEC) software packages exist to turn a normally labor-intensive building process into a digitized, fully-automated process from design to construction. Specifically, they are able to simulate a structure's design in three dimensions and convey the data to machines that then cut and mill the components.
But if the software exists to handle both the design and the 3D printer-like computer numerical control (CNC) machines that execute the designs, what's keeping the building industry from reaching the digital age? According to Howes, the problem is a lack of interoperability between software that has created a disconnect between the 3D design software and the CNC machines.
Howes hopes that the cloud will enable structures and all their parts to be conceived, designed and engineered in a fully simulated 3D environment, streamlining the design and production process, improving efficiency and ultimately boosting profits.
The specifics of his prognostications, however, were a bit harder to pin down, because no one can predict whether adoption will be instigated by consumers or industry innovators.
Howes thinks it's unlikely cloud integration will be achieved throughout the workflow simultaneously. Instead, he expects the first integration point will likely deal with the marketing of a recently completed building or home (or another critical point where the profitability will be instantly recognizable).
Theoretically, this success will then prompt builders to expand the digitization into design and fabrication phases, by which point the transformation into the cloud will be complete.
Full story at Digital Manufacturing Report
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.