The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: ACM Student Research Competition, Graduate
Author: Baodi Shan (Stony Brook University), Mauricio Araya-Polo (TotalEnergies), Barbara Chapman (Stony Brook University)
Supervisor: Barbara Chapman (Stony Brook University)
Abstract: As heterogeneous supercomputing becomes mainstream, traditional hybrid models such as MPI+OpenMP increasingly struggle to coordinate and manage GPU memory while maintaining portable performance.
This work introduces DiOMP-Offloading, a framework that unifies OpenMP target offloading with a PGAS model. Built atop LLVM/OpenMP and using GASNet-EX as the communication layer, DiOMP-Offloading centrally manages global memory regions, providing a globally addressable space for remote put/get operations. It integrates OMPCCL, a portable device-side collective layer that enables the use of vendor collective backends by reconciling allocation life-cycles and address translation. Instead of relying on separate MPI+OpenMP, DiOMP-Offloading improves scalability and programmability by abstracting away replicated device-memory and communication management logic. Demonstrations on large-scale platforms show that DiOMP-Offloading delivers better performance in micro-benchmarks and applications under a single PGAS+OpenMP offloading model. These results indicate that DiOMP-Offloading can contribute to a more portable, scalable, and efficient path forward for heterogeneous computing.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF