One of the greatest challenges in computational chemistry is the design of enzymes to catalyze non-natural chemical reactions. We focus on harnessing the distributed parallel comp...
Jianwu Wang, Prakashan Korambath, Seonah Kim, Scot...
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
Users and developers of grid applications have access to increasing numbers of resources. While more resources generally mean higher capabilities for an application, they also rai...
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framew...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...