Conveners
Paper Session 5
- Sonja Herres-Pawlis (Ludwig-Maximilians-Universität München)
Zoltan Farkas
(MTA SZTAKI)
04/06/2013, 16:00
The nature of data for scientific computation is very diverse in the age of big data. First, it may be available at a number of locations, e.g. the scientist’s machine, some institutional filesystem, a remote service, or some sort of database. Second, the size of the data may vary from a few kilobytes to many terabytes. In order to be available for computation, data has to be transferred to...
Bruno Fernandes Bastos
(Brazilian National System for High-Performance Computing - SINAPAD)
04/06/2013, 16:25
Arguably, an important amount of scientific software development time is likely to be employed on user interfaces. In particular, science gateways have gained increasing interest from the e-Science community because of their convenience to hide the complexity of the underlying resources that give support to the management of scientific data and to the execution of scientific applications....
McLennan Michael
(Purdue University)
04/06/2013, 17:15
Scientific workflow managers are powerful tools for handling large computational tasks. Domain scientists find it difficult to create new workflows, so many tasks that could benefit from workflow automation are often avoided or done by hand. Two technologies have come together to bring the benefits of workflow to the masses. The Pegasus Workflow Management System can manage workflows comprised...
Rion Dooley
(University of Texas at Austin/ Texas Advanced Computing Center)
04/06/2013, 17:40
The history of science gateway development has, in many ways, been a story of the “Haves” vs. the “Have-nots.” Large infrastructure projects led the way, building thick client portals to provide coherent interfaces to an incoherent environment. Contrast this with the way the modern web is designed using light, front end components and outsourcing much of the heavy lifting to a mash-up of REST...
