October 08, 2012
Oct. 8 — Maintaining optimal operation of modern engines requires simulation of advanced models and computationally intensive data analysis. Data management is becoming increasingly important throughout the product life-cycle as companies seek new ways to strengthen their competitiveness. At the same time the usability is moving to a key role, as high-performance computing needs to cater new user groups.
Techila Technologies and Wärtsilä have joined SIMPRO to work on development of simulation-based product processes. SIMPRO is a project funded by Tekes, the Finnish Funding Agency for Technology and Innovation.
"In SIMPRO, I am looking forward to developing cloud innovations, which enable faster time-to-market in product development, and provide better understanding of the product life cycle aspects," says Tuomas Eerola, Vice President of Business Development, Techila Technologies Ltd.
Techila Technologies and Wärtsilä demonstrate the potential of cloud platforms and user-centric distributed computing to product data management. The Techila middleware for distributed high-performance computing can shield users from the complexity of computing systems.
Techila can enable a secure integration of Wärtsilä's simulation and computation processes and Windows Azure cloud services to a platform, which enables development of competitive advantage around simulation-based product processes.
"I believe that this demonstration was only the first proof of concept about the simulation and calculation innovations, which we will see coming from SIMPRO project," says Matias Aura, Project Manager, Wärtsilä Finland Oy.
About Techila Technologies
Techila Technologies, a Finnish company established in 2006, is a provider of High Performance Computing (HPC) middleware solutions. Techila is the missing link between applications and the computing capacity of the Clouds, private or public. It enables applications to harness the infinite capacity of the Cloud quickly and easily. www.techilatechnologies.com
Wärtsilä is a global leader in complete lifecycle power solutions for the marine and energy markets. By emphasising technological innovation and total efficiency, Wärtsilä maximises the environmental and economic performance of the vessels and power plants of its customers. In 2011, Wärtsilä's net sales totalled EUR 4.2 billion with approximately 18,000 employees. The company has operations in nearly 170 locations in 70 countries around the world. Wärtsilä is listed on the NASDAQ OMX Helsinki, Finland. www.wartsila.com
Source: Techila Technologies
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.