DescriptionThe ever-increasing heterogeneity in supercomputing applications has given rise to complex compute node architectures offering multiple, heterogeneous levels of massive parallelism. Exploiting the maximum available parallelism out of such systems necessitates sophisticated programming approaches that can provide scalable as well as portable solutions without compromising on performance. Software abstraction-based programming models, such as OpenMP and OpenACC, have been raising the abstraction of code to reduce the burden on the programmer while improving productivity.
Recent architectural trends indicate a heavy reliance of future exascale machines on accelerators for performance. Toward this end, the workshop will highlight the improvements over state-of-art through the accepted papers and prompt discussion through keynotes and panel. The workshop aims to showcase all aspects of heterogeneous systems discussing innovative high-level language features, lessons learned while using directives to migrate scientific legacy code to parallel processors, compilation and runtime scheduling techniques among others.