Presentation
DiOMP-Offloading: Portable OpenMP Offloading for Distributed Heterogeneous Systems
DescriptionAs 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.
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.
Event Type
Research and ACM SRC Posters
TimeThursday, 20 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
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