PPMM 2016 - 3rd Workshop on Parallel Programming Model for the Masses(PPMM2016)

Parallel computing, more particularly accelerated computing, is very promising in tackling computational challenges from real-world problems like finding the cure of diseases, exploring clean energy, and building efficient diesel engine. However, development of programming models that efficiently exploiting inherent parallelisms of domain specific problem over massively parallel computing systems remains a great challenge. This workshop aims to provide a venue for discussing both novel ideas and valuable practices in “better utilization of massive hardware parallelism” for a wide spectrum of computational domains. This workshop will focus on design practice as well as programming models and frameworks that can effectively bridge the gap between hardware capabilities and real application performance. The accepted work will contribute significantly to both theory and practice in fully exploiting massive computing horsepower provided by supercomputer, cloud and grid. And we encourage research efforts on generic programming models for accelerators (GPGPU, Intel MIC, etc) and hybrid processing along with classical CPUs, as well as hierarchical, multi-level parallelisms. The objective is to improve both real-world application performance and software development productivity for domain problems.