Compositional design of asynchronous circuits from behavioural concepts. - Jonathan Beaumont; Andrey Mokhov; Danil Sokolov; Alex Yakovlev (MEMOCODE, 2015)

WarpPool: sharing requests with inter-warp coalescing for throughput processors. - John Kloosterman; Jonathan Beaumont; Mick Wollman; Ankit Sethia; Ronald G. Dreslinski; Trevor N. Mudge; Scott A. Mahlke (MICRO, 2015)

Mining Conditional Partial Order Graphs from Event Logs. - Andrey Mokhov; Josep Carmona 001; Jonathan Beaumont (Trans. Petri Nets Other Model. Concurr., 2016)

Plato: A Tool for Behavioural Specification of Asynchronous Circuits. - Jonathan Beaumont (ACSD, 2017)

Accelerating Smith-Waterman Alignment Workload with Scalable Vector Computing. - Dong-Hyeon Park; Jonathan Beaumont; Trevor N. Mudge (CLUSTER, 2017)

Regless: just-in-time operand staging for GPUs. - John Kloosterman; Jonathan Beaumont; Davoud Anoushe Jamshidi; Jonathan Bailey; Trevor N. Mudge; Scott A. Mahlke (MICRO, 2017)

OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator. - Subhankar Pal; Jonathan Beaumont; Dong-Hyeon Park; Aporva Amarnath; Siying Feng; Chaitali Chakrabarti; Hun-Seok Kim; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski (HPCA, 2018)

High-Level Asynchronous Concepts at the Interface Between Analog and Digital Worlds. - Jonathan Beaumont; Andrey Mokhov; Danil Sokolov; Alex Yakovlev (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Fine-Grained Management of Thread Blocks for Irregular Applications. - Jonathan Beaumont; Trevor N. Mudge (ICCD, 2019)

A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. - Subhankar Pal; Dong-Hyeon Park; Siying Feng; Paul Gao 001; Jielun Tan; Austin Rovinski; Shaolin Xie; Chun Zhao; Aporva Amarnath; Timothy Wesley; Jonathan Beaumont; Kuan-Yu Chen 001; et al. (VLSI Circuits, 2019)

Rethinking Context Management of Data Parallel Processors in an Era of Irregular Computing. - Jonathan Beaumont (2019)

Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration. - Subhankar Pal; Siying Feng; Dong-Hyeon Park; Sung Kim; Aporva Amarnath; Chi-Sheng Yang; Xin He; Jonathan Beaumont; Kyle May; Yan Xiong 002; Kuba Kaszyk; John Magnus Morton; et al. (PACT, 2020)

Termination detection for fine-grained message-passing architectures. - Matthew Naylor; Simon W. Moore; Andrey Mokhov; David B. Thomas; Jonathan R. Beaumont; Shane T. Fleming; A. Theodore Markettos; Thomas Bytheway; Andrew D. Brown (ASAP, 2020)

A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix-Matrix Multiplication Accelerator. - Dong-Hyeon Park; Subhankar Pal; Siying Feng; Paul Gao 001; Jielun Tan; Austin Rovinski; Shaolin Xie; Chun Zhao; Aporva Amarnath; Timothy Wesley; Jonathan Beaumont; Kuan-Yu Chen 001; et al. (IEEE J. Solid State Circuits, 2020)

General hardware multicasting for fine-grained message-passing architectures. - Matthew Naylor; Simon W. Moore; David B. Thomas; Jonathan R. Beaumont; Shane T. Fleming; Mark Vousden; A. Theodore Markettos; Thomas Bytheway; Andrew D. Brown (PDP, 2021)

Event-driven DPD timings, temperature, power and migration data. - Jonathan Beaumont (IEEE DataPort, 2022)

Event-based high throughput computing: A series of case studies on a massively parallel softcore machine. - Mark Vousden; Jordan Morris; Graeme McLachlan Bragg; Jonathan Beaumont; Ashur Rafiev; Wayne Luk; David B. Thomas; Andrew D. Brown (IET Comput. Digit. Tech., 2023)

POETS: An Event-driven Approach to Dissipative Particle Dynamics: Implementing a Massively Compute-intensive Problem on a Novel Hard/Software Architecture. - Andrew D. Brown; Jonathan R. Beaumont; David B. Thomas; Julian C. Shillcock; Matthew Naylor; Graeme M. Bragg; Mark Vousden; Simon W. Moore; Shane T. Fleming (ACM Trans. Parallel Comput., 2023)

Scalable Autograding for Quantum Programming Assignments. - Jonathan Beaumont; Kathryn Wakevainen (ITiCSE (1), 2024)