June 28, 2011
RICHMOND HILL, Ontario, Canada, June 27, 2011 -- PCI Geomatics, a world leading developer of geo-imaging software and systems, has successfully deployed a high speed image production system to the Amazon Cloud in support of Esri's ArcGIS Online platform, to process and make available high resolution Imagery content.
PCI's GeoImaging Accelerator (GXL) technology was designed for automation and speed, leveraging off the shelf CPU/GPU hardware through highly parallelized processing capability, thereby accelerating production throughput over traditional desktop systems by orders of magnitude. Cloud based services offer the advantage of low cost computing resources across multiple instances that can be switched on and off as required, providing on demand scalability. PCI has deployed its GXL technology to the Amazon Cloud, where multiple instances can be tasked to process large volumes of imagery on demand.
The GXL Cloud System implementation is tailored to processing high resolution optical imagery, and can generate pan-sharpened, orthorectified, color balanced tiled mosaic products at high speed using multi CPU/GPU and multi-instance enabled technology. The complete system can transform uncorrected Level 1 frame based data from multiple satellite sensors into thousands of orthorectified and mosaicked products - on demand.
PCI understands that the market is increasingly accepting and demanding Cloud based solutions, given the many advantages offered. Through diligent work and a great amount of innovation, we are overcoming significant hurdles which have limited the availability of cloud computing for the customers Earth Observation and Imagery needs, said David Stanley, CTO at PCI Geomatics. by staging the data directly within Amazons facility and coupling it with our Cloud optimized GXL system, we can leverage the true power of Cloud Based processing for our customers, that is on-demand scalability for high speed production.
Through the use of the GXL Cloud system that PCI has deployed to our Amazon Cloud instances, we are working diligently to provide high resolution and high quality content as quickly as possible for the ArcGIS Online platform, said Steven Lambert, Senior Program Manager at Esri.
PCI Geomatics will continue to support Esri by providing leading edge, cloud based processing power that can be scaled up/down based on Esris required throughput and data processing requirements.
About GeoImaging Accelerator (GXL)
GXL-Satellite technology combines high-performance computing with PCI Geomatics expertise to provide significant improvements in automation, speed and efficiency. By optimizing and distributing automated workflows, traditional image-processing is elevated to industrial-strength production. For more information about the GXL software solution, visit www.pcigeomatics.com/gxl.
About PCI Geomatics
PCI Geomatics is a world leading developer of software and systems for geo-imaging solutions. Since 1982, we have specialized in remote sensing, digital photogrammetry, spatial analysis, cartographic production, automated production systems, image management and on demand mapping solutions. PCI Geomatics' advanced software systems address a wide variety of industry applications including the environment, agriculture, security and intelligence, aerospace & defense, and satellite receiving stations. We have the expertise and know-how to turn images into useful information. For more information, visit www.pcigeomatics.com.
About Esri
Esri develops geographic information systems (GIS) solutions that function as an integral component in nearly every type of organization. Esri software is used by more than 350,000 organizations worldwide including most U.S. federal agencies and national mapping agencies, 45 of the top 50 petroleum companies, all 50 U.S. state health departments, most forestry companies, and many others in dozens of industries. Esri software is the standard in state and local government and is used by more than 24,000 state and local governments including Paris, France; Los Angeles, California, USA; Beijing, China; and Kuwait City, Kuwait. For more information, visit www.esri.com.
-----
Source: PCI Geomatics
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.
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
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.