Abstract :
The following topics are dealt with: heterogeneous computing; reconfigurable architectures; high-level parallel programming models and supportive environments; nature inspired distributed computing; high performance computational biology; parallel and distributed computing models; communication architecture for scalable systems; high-performance power-aware computing; high-performance grid and cloud computing; accelerators and hybrid exascale systems; multicore and GPU programming models, languages, compilers; parallel and distributed computing education; parallel and distributed scientific and engineering computing; dependable parallel, distributed, and network-centric systems; multi-threaded architectures and applications; large-scale parallel processing; parallel computing and optimization; parallel and distributed computing for machine learning and inference problems; high performance data intensive computing; workflow models, systems, services, and applications in the cloud; job scheduling strategies for parallel processing; virtual prototyping of parallel and embedded systems and PhD forum.
Keywords :
biology computing; cloud computing; embedded systems; grid computing; job shop scheduling; learning (artificial intelligence); multi-threading; power aware computing; virtual prototyping; GPU programming models; compilers; distributed computing models; embedded systems; heterogeneous computing; high performance computational biology; high performance data intensive computing; high-level parallel programming models; high-performance cloud computing; high-performance grid computing; high-performance power-aware computing; inference problems; job scheduling strategies; large-scale parallel processing; machine learning; multi-threaded architectures; nature inspired distributed computing; optimization; parallel computing models; reconfigurable architectures; virtual prototyping;
