While a grid represents a computing infrastructure for cross domain sharing of computational resources, the cyberinfrastructure, proposed by the US NSF Blue – Ribbon advisory pa...
Jie Yin, Junwei Cao, Yuexuan Wang, Lianchen Liu, C...
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Resource sharing across different computers and organizations makes it possible to support diverse, dynamic changing resource requirements of distributed applications. Reservation...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...