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The following topics are dealt with: heterogeneity in computing workshop; scheduling and load balancing; reconfigurable architectures workshop; runtime and tools for partially reconfigurable FPGA-based systems; applications and special purpose architectures with reconfigurable hardware; new architectures and performance evaluation for reconfigurable computing; workshop on high-level parallel programming models and supportive environments; workshop on large-scale parallel processing; performance analysis and optimization; parallelization; application-specific studies; workshop on nature inspired distributed computing; applications of bio-inspired algorithms; parallel, distributed, and adaptive algorithms; workshop on high performance computational biology; advances in parallel and distributed computing models; parallel algorithms and applications; parallel computing systems; distributed algorithms and computing; wireless networks and distributed systems; high performance Big Data and cloud computing workshop; high performance data intensive computing; cloud computing storage, analytics and data transfer; high performance data intensive computing; accelerators and hybrid exascale systems; accelerating analytics; algorithm design for heterogeneous systems; programming models, languages, and compilers for manycore and heterogeneous architectures; programming and compilation techniques for heterogeneous and multicore systems; parallel programming experiences and lessons learned; novel approaches for emerging platforms; Edupar- NSF/TCPP workshop on parallel and distributed computing education; course design; curriculum integration; graph algorithms building blocks; high-performance, power-aware computing; workshop on parallel and distributed scientific and engineering computing; linear algebra; GPU; dependable parallel, distributed, and network-centric systems; reliability and threat-detection; fault tolerance; algorithms, protocols, and topologies; parallel computing and optimization; optimization techniques for parallel or distributed architectures; combinatorial scientific computing and parallel optimization algorithms; parallel and distributed computing for large scale machine learning and Big Data analytics; workshop on job scheduling strategies for parallel processing; international workshop on automatic performance tuning; and a new approach to high performance technical computing.