December 09, 2005
Finetooth, Inc. has announced its formation as a company, offering the oil and gas industry 3D visualization software designed specifically for viewing and interacting with prestack data. Finetooth is the first commercially available solution in the industry to make use of GPUs (graphical processing units) on graphics cards for raw processing power. By utilizing the GPUs on a cluster of PC nodes, Finetooth is able to visualize large amounts of data, and can apply geophysical algorithms to the datasets with real-time results for interactive visualization.
3D visualization has traditionally been a tool for the interpreter and the reservoir analyst, yet the very features that make it such a powerful tool for poststack analysis are directly applicable to prestack workflows: the ability to view huge amounts of data very quickly, to move through a volume and get a sense of the quality of the data in seconds, to calculate and display attribute information over the seismic data, and to interpret geological events.
Finetooth brings interpreters and data processors into the same environment. Linking poststack volumes to prestack gathers gives interpreters new insight into their data. A common environment in which the data processor and the interpreter can easily move back through and compare successive steps in the processing history allows problems to be uncovered quickly.
"With Finetooth, visualization volumes are no longer static objects," explained Alex Krueger, Finetooth's VP of Research, Development and Marketing. Users can apply algorithms directly to the data and see the results in real time. The time spent setting up data processing job runs is reduced, and the QC of their outputs is enhanced". By utilizing the GPUs in addition to a cluster's CPUs for interactive visualization, Finetooth allows users to analyze data in such ways as applying filters and gains, adjusting velocities, stacking and comparing datasets. In addition, Finetooth's native multi-dimensional, multi-resolution data format allows datasets to be viewed in different sort orders without physically resorting.
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
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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.
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Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
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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.
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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.
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The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.