Miron Livny
(University of Wisconsin-Madison)
31/01/2008, 09:15
In recent years, a growing number of universities have deployed advanced distributed computing technologies to build powerful computing facilities on their campus. These Campus Grids offer students and faculty from a broad range of disciplines easy access to local compute and storage resources. The Grid Laboratory of Wisconsin (GLOW) is an example of such a grid. GLOW is a NSF funded,...
Gerhard Ecker
(University of Vienna)
31/01/2008, 09:55
The discovery and development of new, safe drugs is very costly and the rate of failure of drug candidates in late phase clinical studies is high. Establishing new in silico techniques which improve the predictability of bioavailability and safety as early as possible in the drug discovery and development process is thus of major importance to overcome this problem and to improve research and...
Wilfried Gansterer
(University of Vienna)
31/01/2008, 11:00
The CPAMMS project ("Computing Paradigms and Algorithms for Molecular Modelling and Simulation: Applications in Chemistry, Molecular Biology, and Pharmacy”) is an interdisciplinary research initiative involving participants from Quantum Chemistry, Molecular Biology and Pharmacy which focuses on the development of innovative methods and technologies for selected computational molecular modeling...
4.
Use of Scientific Software in Distributed Environments - A Practical Experience with VGE and EGEE
Matthias Ruckenbauer
(University of Vienna)
31/01/2008, 11:40
The ab-initio program-suite COLUMBUS was installed within the
COMPCHEM-VO in the EGEE Grid and deployed as a VGE (Vienna Grid
Environment) web-service at local sites within the University of Vienna.
Additionally the Molecular Dynamics package NEWTON-X was deployed as VGE
web-service.
These two systems, the VGE and the EGEE, persue different philosophies,
representic a bottom-up vs. a...
Siegfried Benkner
(University of Vienna)
31/01/2008, 16:50
The European @neurIST project aims to create an integrated biomedical Grid infrastructure for the management of all processes linked to research, diagnosis and treatment development for complex, multi-factorial diseases. The project bases its developments on a service-oriented Grid architecture encompassing data repositories, information systems, simulation, modeling and computational analysis...