The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
Deterministic Finite Automaton (DFA) is well-known for its constant matching speed in worst case, and widely used in multistring matching, which is a critical technique in high pe...
Junchen Jiang, Yi Tang, Bin Liu, Xiaofei Wang, Yan...
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
Maitreya Natu, Vaishali P. Sadaphal, Sangameshwar ...