We consider the problem of covering a graph with a given number of induced subgraphs so that the maximum number of vertices in each subgraph is minimized. We prove NP-completeness of the problem, prove lower bounds, and give approximation algorithms for certain graph classes.

A data-aware task scheduling approach for solving all-to-all comparison problems in heterogeneous distributed systems that formulates the requirements for data distribution and comparison task scheduling simultaneously as a constrained optimization problem and achieves load balancing among heterogeneous computing nodes, thus enhancing the overall computation time.Expand

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)

2015

TLDR

The main advantage of using pipeline execution of multi-op versus VLIW instructions is shown to be the cost of interconnections between the CPU’s execution units and the register file.Expand

Let G be any n-vertex planar graph. We prove that the vertices of G can be partitioned into three sets A, B, C such that no edge joins a vertex in A with a vertex in B, neither A nor B contains more… Expand

This compendium of approximability results of NP-hard optimization problems has been collected together and is interested in studying a class of optimization problems whose feasible solutions are short and easy-to-recognize.Expand

Horn formulae play a prominent role in artificial intelligence and logic programming. In this paper we investigate the problem of optimal compression of propositional Horn production rule knowledge… Expand