Scope: The IEEE Workshop on Parallel / Distributed Computing and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed computing for difficult combinatorial optimization problems, like 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems and global optimization problems. Emphasis will be placed on new techniques for the solution of these difficult problems like cooperative methods for integer programming problems and hybridization techniques. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. In particular, we solicit submissions of original manuscripts on sparse matrix computations and relatives (including graph algorithms); and related methods and tools for their efficiency on different parallel systems. The use of new approaches in parallel and distributed computing like GPU, MIC, cloud computing, volunteer computing will be considered. Application to cloud computing, planning, logistics, manufacturing, finance, telecommunications and computational biology will be considered.