Sandra Wienke, RWTH Aachen University, Aachen Germany
Sridutt Bhalachandra, Lawrence Berkeley National Laboratory, USA

Proceedings available

The proceedings of the workshop are now available at:

About the Workshop

The ever-increasing heterogeneity in supercomputing applications has given rise to complex compute node architectures offering multiple, heterogeneous levels of massive parallelism. As a result, the ‘X’ in MPI+X demands more focus. 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. A programmer’s expectation from the scientific community is to deliver solutions that would allow maintenance of a single code base whenever possible avoiding duplicate effort.

Raising the abstraction of the code is one of the effective methodologies to reduce the burden on the programmer while improving productivity. Software abstraction-based programming models, such as OpenMP and OpenACC, have been serving this purpose over the past several years as the compiler technology steadily improves. These programming models address the ‘X’ component by providing programmers with high-level directive-based approaches to accelerate and port scientific applications to heterogeneous platforms.

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 keynote/panel that draws the community’s attention to key areas that will facilitate the transition to accelerator-based high-performance computing (HPC). 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.

Impressions from the 2019 Workshop




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