# Intel(R) SHMEM: GPU-initiated OpenSHMEM using SYCL

arXiv: https://arxiv.org/abs/2409.20476 · HTML: https://mlsanity.com/paper/2409.20476/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2024.

## Built on by (most cited first, 2 of 2)

- [GPU-centric Communication Schemes for HPC and ML Applications](https://mlsanity.com/paper/2503.24230/) (2025)
- [Slicing Is All You Need: Towards A Universal One-Sided Algorithm for Distributed Matrix Multiplication](https://mlsanity.com/paper/2510.08874/) (2025)

## Abstract (arXiv)

Modern high-end systems are increasingly becoming heterogeneous, providing users options to use general purpose Graphics Processing Units (GPU) and other accelerators for additional performance. High Performance Computing (HPC) and Artificial Intelligence (AI) applications are often carefully arranged to overlap communications and computation for increased efficiency on such platforms. This has led to efforts to extend popular communication libraries to support GPU awareness and more recently, GPU-initiated operations. In this paper, we present Intel SHMEM, a library that enables users to write programs that are GPU aware, in that API calls support GPU memory, and also support GPU-initiated communication operations by embedding OpenSHMEM style calls within GPU kernels. We also propose thread-collaborative extensions to the OpenSHMEM standard that can enable users to better exploit the strengths of GPUs. Our implementation adapts to choose between direct load/store from GPU and the GPU copy engine based transfer to optimize performance on different configurations.