Session

DescriptionHeterogeneous node architectures are ubiquitous in today’s HPC landscape. Exploiting the compute capability, while maintaining code portability and maintainability, necessitates effective accelerator programming approaches. The use of these programming approaches remains a research activity, and there are many possible trade-offs between performance, portability, maintainability, and ease of use that must be considered. Additionally, new heterogeneous computing concepts are being deployed, like ML/AI chips and QPUs, introducing challenges related to algorithms, portability, and standardization of programming models. The WACCPD workshop highlights the improvements over state-of-the-art through accepted papers and talks. The event will also foster discussion with invited talks and a panel to draw the community’s attention to key areas that will facilitate the transition to accelerator-based HPC, including AI, and quantum computing. The workshop aims to showcase all aspects of innovative language features, lessons learned while using directives/abstractions to migrate scientific code, and experiences using novel accelerator architectures, among others.