Work

OpenSHMEM MLIR: A Dialect for Compile-Time Optimization of One-Sided Communications

Year: 2025

Type: conference-paper

Abstract: Communication increasingly limits performance in high-performance computing (HPC), yet mainstream compilers focus on computation because communication intent is lost early in compilation. OpenSHMEM offers a one-sided Partitioned Global Address Space (PGAS) model with symmetric memory and explicit synchronization, but lowering to opaque runtime calls hides these semantics from analysis.

DOI: 10.1145/3731599.3767483

Authors: Michael Beebe, Benjamin Michalowicz, Andrew McNamara, Yash Kumar, Dhabaleswar K. Panda, Yong Chen, Wendy Poole, Steve Poole

Institutions: Texas Tech University, The Ohio State University, New Mexico Consortium, Los Alamos National Laboratory

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: National Science Foundation, Los Alamos National Laboratory

Awards: G1339103427, Phase-II IUCRC Texas Tech University: Center for Cloud and Autonomic Computing

OpenAlex ID: W4416004079

FWCI:

Cites: 14

Cited by: 1

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