As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
We propose lightweight middleware solutions that facilitate and simplify the execution of MPI programs across multidomain clusters. The system described in this paper leverages H2O...
In this paper we address the problem of agents engaged in a distributed costly two-sided search for pairwise partnerships in Multi-Agent Systems (MAS). While traditional two-sided...
ARTISST (ARTISST is a Real-Time System Simulation Tool) is a modular event-driven simulation framework for real-time systems. It is targeted towards the performance evaluation of ...
Distributed Hash Tables (DHTs) have been used in a variety of applications, but most DHTs so far have opted to solve lookups with multiple hops, which sacrifices performance in o...