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A Verified High-Performance Composable Object Library for Remote Direct Memory Access
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AI
DOI：10.1145/3776713.png)
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Abstract
En 中文
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.
Keywords:
RDMA
Distributed Computing
Declarative Semantics
Verification
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