We examine the problem of retrieving the top-m ranked items from a large collection, randomly distributed across an n-node system. In order to retrieve the top m overall, we must ...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Resource constraints are a major concern with the design, development, and deployment of embedded systems. Embedded systems are highly hardware-dependent and have little computatio...
The memory resources required by network simulations can grow quadratically with size of the simulated network. In simulations that use routing tables at each node to perform perh...
George F. Riley, Mostafa H. Ammar, Richard Fujimot...
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Georgios K. Theodoropoulos, Yi Zhang, Dan Chen, Ro...