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ODOS-MPI: HPC-Friendly SmartNIC Offloading of Computation/Communication Kernels
SessionProgramming Frameworks
DescriptionThe increasing complexity and scale of high performance computing (HPC) workloads demand innovative approaches to optimize both computation and communication. While OpenMP has been widely adopted for intra-node parallelism and MPI for inter-node communication, emerging SmartNICs introduce new opportunities for offloading communication-intensive tasks.
In this work, we extend OpenMP to support MPI kernel offloading to SmartNICs. Our implementation integrates Open MPI communication offloading into the LLVM compiler while utilizing DOCA SDK for efficient interaction with NVIDIA BlueField DPUs. Leveraging OpenMP eliminates the need for direct low-level programming, lowering the entry barrier for domain scientists.
We demonstrate our framework’s versatility by implementing a SmartNIC-enabled version of the MPI OSU micro-benchmarks and improving the execution time of an atmospheric weather simulation by over 18%, thanks to concurrent computation and communication.
In this work, we extend OpenMP to support MPI kernel offloading to SmartNICs. Our implementation integrates Open MPI communication offloading into the LLVM compiler while utilizing DOCA SDK for efficient interaction with NVIDIA BlueField DPUs. Leveraging OpenMP eliminates the need for direct low-level programming, lowering the entry barrier for domain scientists.
We demonstrate our framework’s versatility by implementing a SmartNIC-enabled version of the MPI OSU micro-benchmarks and improving the execution time of an atmospheric weather simulation by over 18%, thanks to concurrent computation and communication.
Event Type
Paper
TimeWednesday, 19 November 202510:30am - 10:52am CST
Location275
Programming Frameworks