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George Hodgkins

dblp:351/5935 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0005-7327-9561ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 90% Interconnection networks and networks-on-chip · 10%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
distributed system verification
1.012026
A Verified High-Performance Composable Object Library for Remote Direct Memory Access · Proc. ACM Program. Lang. 2026
Distributed systems
fault tolerance
0.712023
Zhuque: Failure is Not an Option, it's an Exception · USENIX ATC 2023
Interconnection networks and networks-on-chip
remote direct memory access
0.312026
A Verified High-Performance Composable Object Library for Remote Direct Memory Access · Proc. ACM Program. Lang. 2026
Distributed systems › distributed system dependability
reliable distributed systems
0.212023
Zhuque: Failure is Not an Option, it's an Exception · USENIX ATC 2023

Methods — techniques the papers use, named apart from their topics

formal proof in proof assistant · 1.0declarative verification framework · 1.0
YearPublicationVenuePosition
2026 A Verified High-Performance Composable Object Library for Remote Direct Memory Access
abstract
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.
Guillaume Ambal, George Hodgkins, Mark Madler, Gregory V. Chockler, Brijesh Dongol, Joseph Izraelevitz, Azalea Raad, Viktor Vafeiadis
Proc. ACM Program. Lang.2
2023 Zhuque: Failure is Not an Option, it's an Exception
George Hodgkins, Yi Xu 0017, Steven Swanson, Joseph Izraelevitz
USENIX ATC1