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).<br>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.<br>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.<br>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.<br>Topics<br>Authors are invited to submit manuscripts that present original and unpublished research in all areas related with programming of complex problems via parallel and distributed processing. Works focused on emerging architectures and big computing challenges are especially welcome.<br>Relevant topics include, but are not limited to:<br>· New strategies to improve performance<br>· Code adapting to take advantages of lastest features<br>· Numerical modeling for complex problems<br>· Communication, synchronization, load balancing<br>· Benchmarking, performance and numerical accuracy analysis<br>· Scalability of algorithms and data structures<br>· New programming models<br>· Auto–Tunning Computing Systems<br>· High level abstraction tools<br>
Abbrevation
CPHPCA
City
Paris
Country
France
Deadline Paper
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