Abstract :
The following topics are dealt with: heterogeneity in computing workshop; scheduling and resource allocation; RAW - reconfigurable architectures workshop; HIPS - Workshop on High-Level Parallel Programming Models and Supportive Environments;NIDISC - Workshop on Nature Inspired Distributed Computing;HiCOMB - Workshop on High Performance Computational Biology;APDCM - Advances in Parallel and Distributed Computing Models;HPPAC - High-Performance, Power-Aware Computing;HPGC - High-Performance Grid and Cloud Computing Workshop;AsHES - Accelerators and Hybrid Exascale Systems;PLC - Programming Models, Languages, and Compilers Workshop for Manycore and Heterogeneous Architectures;EduPar-NSF/TCPP Workshop on Parallel and Distributed Computing Education;PDSEC - Workshop on Parallel and Distributed Scientific and Engineering Computing;DPDNS - Dependable Parallel, Distributed, and Network-Centric Systems;MTAAP - Workshop on Multi-threaded Architectures and Applications;LSPP - Workshop on Large-Scale Parallel Processing;PCO - Parallel Computing and Optimization;ParLearning - Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics;HPDIC - High Performance Data Intensive Computing;JSSPP - Workshop on Job Scheduling Strategies for Parallel Processing;CHIUW - Chapel Implementers and Users Workshop.
Keywords :
Big Data; biology computing; cloud computing; computer aided instruction; grid computing; learning (artificial intelligence); multi-threading; power aware computing; program compilers; programming languages; reconfigurable architectures; resource allocation; scheduling; APDCM; AsHES; CHIUW; DPDNS; EduPar-NSF/TCPP; HIPS; HPDIC; HPGC; HPPAC; HiCOMB; JSSPP; LSPP; MTAAP; NIDISC; PCO; PDSEC; PLC; ParLearning; RAW; accelerators and hybrid exascale systems; advances in parallel and distributed computing models; big data analytics; chapel implementers; dependable parallel distributed and network-centric systems; heterogeneity; heterogeneous architecture; high performance computational biology; high performance data intensive computing; high-level parallel programming models and supportive environments; high-performance grid and cloud computing workshop; high-performance power-aware computing; job scheduling strategies for parallel processing; large scale machine learning; large-scale parallel processing; manycore architecture; multithreaded architectures and applications; nature inspired distributed computing; parallel and distributed computing education; parallel and distributed scientific and engineering computing; parallel computing and optimization; program compilers; programming languages; reconfigurable architectures workshop; resource allocation; users workshop;