Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading
DescriptionHPC systems employ a growing variety of compute accelerators with different architectures and from different vendors. Large scientific applications which are required to run efficiently across these systems but need to retain a single code-base in order to not stifle development. Directive-based offloading programming models set out to provide the required portability,
but, to existing codes, they themselves represent yet another API to port to. Here, we present our approach to porting the GPU-accelerated particle-in-cell code PIConGPU to OpenACC and OpenMP target by adding two new backends to its existing C++-template metaprogramming-based offloading abstraction layer alpaka and avoiding other modifications to the application code. We introduce our approach in the face of conflicts between requirements and available features in the standards as well as practical hurdles posed by immature compiler support.
Event Type
TimeSun, 14 Nov11am - 11:30am CST
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Online Only
Accelerator-based Architectures
Parallel Programming Languages and Models
State of the Practice