Research

OSC user, staff member among GLCPC Blue Waters award recipients

Great Lakes Consortium for Petascale Computation press release:

The Great Lakes Consortium for Petascale Computation has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 10 diverse science and engineering projects.

The computing and data capabilities of Blue Waters will assist researchers in addressing questions of biology, nanoelectronics, ecological and economic impacts of climate change, and more.

What's New at the Platform Lab!

Platform Lab received and installed an important contribution from Sun Microsystems, Inc. as the lab opened its doors for operation. The contribution includes four enterprise-level Sun 220R dual processor systems, each with two gigabytes of memory, a pair of Sun Netra web application servers, and significant disk storage capacity.

XSEDE project brings advanced cyberinfrastructure, digital services, and expertise to nation's scientists and engineers

XSEDE Logo

Columbus, Ohio (July 25, 2011) - A partnership of 17 institutions today announced the Extreme Science and Engineering Discovery Environment (XSEDE). XSEDE will be the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world.

Ohio Supercomputer Center Calls for Proposals for Statewide Computational Science Courses

The Ohio Supercomputer Center (OSC) is looking for Ohio faculty interested in using distance learning technologies to bring computational science courses to campuses across the state.

OSC, a statewide resource for high performance technology, recently received funding from the Ohio Board of Regents to assist the state in developing computational science expertise at its public universities. OSC will fund computational science courses from various institutions that can be taught on multiple campuses.

Path Finding: Behavior of Artificial Neural Network

Abstract

To travel from one location to another is a common task for most human beings. Actually creating a robot to find a path to the destination while avoiding obstacles is another task. The behavior of an artificial neural network is synthesized mimicking the decisions leading to a path. a two-layer network using a simplified model of a biological network (i.e. brain is used).

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