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A Verified High-Performance Composable Object Library for Remote Direct Memory Access
Journal article   Open access   Peer reviewed

A Verified High-Performance Composable Object Library for Remote Direct Memory Access

Guillaume Ambal, George Hodgkins, Mark Madler, Gregory Chockler, Brijesh Dongol, Joseph Izraelevitz, Azalea Raad and Viktor Vafeiadis
Proceedings of ACM on programming languages, Vol.10(POPL), pp.2051-2082
08/01/2026

Abstract

Axiomatic semantics Distributed computing models Distributed programming languages Software and its engineering Theory of computation
Remote Direct Memory Access (RDMA) is a memory technology that allows remote devices to directly write to and read from each other’s memory, bypassing components such as the CPU and operating system. This enables low-latency high-throughput networking, as required for many modern data centres, HPC applications and AI/ML workloads. However, baseline RDMA comprises a highly permissive weak memory model that is difficult to use in practice and has only recently been formalised. In this paper, we introduce the Library of Composable Objects (LOCO), a formally verified library for building multi-node objects on RDMA, filling the gap between shared memory and distributed system programming. LOCO objects are well-encapsulated and take advantage of the strong locality and the weak consistency characteristics of RDMA. They have performance comparable to custom RDMA systems (e.g. distributed maps), but with a far simpler programming model amenable to formal proofs of correctness. To support verification, we develop a novel modular declarative verification framework, called Mowgli, that is flexible enough to model multinode objects and is independent of a memory consistency model. We instantiate Mowgli with the RDMA memory model, and use it to verify correctness of LOCO libraries.
url
https://doi.org/10.1145/3776713View
Published (Version of record) Open CC BY V4.0

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