In this paper, we consider multihop wireless mesh networks, where each router node is equipped with multiple radio interfaces, and multiple channels are available for communication...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
This paper compares several implementations of entry consistency (EC) and lazy release consistency (LRC), two relaxed memory models in use with software distributed shared memory ...
Sarita V. Adve, Alan L. Cox, Sandhya Dwarkadas, Ra...
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...