Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter

At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources. These resources were bundled into a unified platform by utilizing dynamic lambda allocation, high bandwidth protocols for optical networks, a Distributed Virtual Computer (DVC) [N. Taesombut, A. Chien, Distributed Virtual Computer (DVC): Simplifying the development of high performance grid applications, in: Proceedings of the Workshop on Grids and Advanced Networks, GAN 04, Chicago, IL, April 2004 (held in conjunction with the IEEE Cluster Computing and the Grid (CCGrid2004) Conference)], and applications running over the Scalable Adaptive Graphics Environment (SAGE) [L. Renambot, A. Rao, R. Singh, B. Jeong, N. Krishnaprasad, V. Vishwanath, V. Chandrasekhar, N. Schwarz, A. Spale, C. Zhang, G. Goldman, J. Leigh, A. Johnson, SAGE: The Scalable Adaptive Graphics Environment, in: Proceedings of WACE 2004, 23

• Type: Journal
• Year: 2006
• Where: FGCS
• Authors: Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, David Lee, Byungil Jeong, Luc Renambot, Abel W. Lin, Ruth West, Hiromu Otsuka, Sei Naito, Steven Peltier, Maryann E. Martone, Kazunori Nozaki, Jason Leigh, Mark H. Ellisman
• Keywords: Adaptive Graphics Environment, FGCS 2006, Scalable Adaptive Graphics, Virtual Computer