The main proposal of CPHPCA is to provide a scenario to discuss how those problems compromising important challenges and high computational requirements can be mapped over current and upcoming high performance architectures. CPHPCA will be a part (in conjunction) with the 18th IEEE International Conference on Computational Science and Engineering (CSE'16).

The importance of high performance computing is increasing and has become as one of the foremost fields of computing research. This raise brings up many issues, in form of new network topologies and technologies (fast accessing data), new low-consumption architectures, new programming models, etc. It forces us to adapt our codes or create new ones to take advantages of the last computational features.

This workshop focuses on the challenges that suppose how to adapt/implement complex and big problems over those platforms composed by a high number of cores, dealing with communication, programming, heterogeneous architectures, load balancing, benchmarking, etc. Today, the difficulty of the problems to be implemented is increasing considerably, large data and computational requirements, dynamic behavior, numerical simulations, automatic modeling, are just a few examples of this kind of problems. 

The goal of this workshop is to bridge the gap between the theory of complex problems (computational fluid dynamics, bio-informatics, linear algebra, big data computing, deep-learning, data mining, ...) and high performance computing platforms by proposing new trends/directions in programming.