Advances in multicore and many–core architectures, networking, high end computers, large data stores, and middleware capabilities are ushering in a new era of high performance parallel and distributed simulations. Along with these new capabilities come new challenges in computing and system modeling. The goal of HPC 2016 is to encourage innovation in high performance computing and communication technologies and to promote synergistic advances in modeling methodologies and simulation. It will promote the exchange of ideas and information between universities, industry, supercomputing centers, and national laboratories about new developments in system modeling, high performance computing and communication, scientific computing as well as simulation.<br>Topics of interest include:<br>* High performance computing issues in Big Data analytics<br>* High performance/large scale application case studies<br>* GPU for general purpose computations (GPGPU)<br>* Multicore and many–core computing<br>* Power aware computing<br>* Cloud, distributed, and grid computing<br>* Asynchronous numerical methods and programming<br>* Hybrid system modeling and simulation<br>* Large scale visualization and data management<br>* Tools and environments for coupling parallel codes<br>* Parallel algorithms and architectures<br>* High performance software tools<br>* Resilience at the simulation level<br>* Component technologies for high performance computing<br>
Abbrevation
HPC
City
Pasadena
Country
United States
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