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David Griffin 0002
Person information
- affiliation: University of York, Department of Computer Science, UK
Other persons with the same name
- David Griffin 0001
(aka: David P. Griffin) — University College London, UK (and 1 more)
- David Griffin 0003
- David Griffin 0004 — GPT Limited, Network Systems Group, Coventry, UK
- David Griffin 0005 (aka: David M. Griffin) — AltaVista Internet Software Inc.
- David Griffin 0006 — Ontario College of Art & Design, Toronto, ON, Canada
- David Griffin 0007 — Surrey Innovations Ltd., Kettering, UK
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2020 – today
- 2024
- [j4]Guru Venkat
Exploring physical and digital architectures in magnetic nanoring array reservoir computers. Neuromorph. Comput. Eng. 4(2): 24018 (2024) - [c19]Jessica Park, Nick Chancellor, David Griffin, Viv Kendon, Susan Stepney:
Benchmarking the D-Wave Quantum Annealer as a Sparse Boltzmann Machine: Recognition and Timing Performances. UCNC 2024: 43-57 - [c18]David Griffin
Entropy Transformation Measures for Computational Capacity. UCNC 2024: 119-133 - [i3]Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning, Jack C. Gartside, Charles Swindells, Guru Venkat
Optimising network interactions through device agnostic models. CoRR abs/2401.07387 (2024) - 2023
- [c17]David Griffin, Susan Stepney, Ian T. Vidamour:
DebugNS: Novelty Search for Finding Bugs in Simulators. GI 2023: 17-18 - [c16]David Griffin
Exploring the Robustness of Magnetic Ring Arrays Reservoir Computing with Linear Field Calibration. UCNC 2023: 94-107 - 2022
- [j3]Robert I. Davis
A framework for multi-core schedulability analysis accounting for resource stress and sensitivity. Real Time Syst. 58(4): 456-508 (2022) - [c15]Sanjoy K. Baruah, Alan Burns, David Griffin:
Functional Uncertainty in Real-Time Safety-Critical Systems. RTNS 2022: 1-11 - [i2]Dan A. Allwood, Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A. Trefzer, Eleni Vasilaki, Guru Venkat
A perspective on physical reservoir computing with nanomagnetic devices. CoRR abs/2212.04851 (2022) - 2021
- [c14]Robert I. Davis, David Griffin, Iain Bate:
Schedulability Analysis for Multi-Core Systems Accounting for Resource Stress and Sensitivity. ECRTS 2021: 7:1-7:26 - [i1]Ian T. Vidamour, Matthew O. A. Ellis, David Griffin, Guru Venkat, Charles Swindells, Richard W. S. Dawidek, Thomas J. Broomhall, Nina-Juliane Steinke, Joshaniel F. K. Cooper, Francisco Maccherozzi, Sarnjeet S. Dhesi, Susan Stepney, Eleni Vasilaki, Dan A. Allwood, Thomas J. Hayward:
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics. CoRR abs/2111.14603 (2021) - 2020
- [j2]James Harbin, Alan Burns
The AirTight Protocol for Mixed Criticality Wireless CPS. ACM Trans. Cyber Phys. Syst. 4(2): 19:1-19:28 (2020) - [c13]Iain Bate, David Griffin
Establishing Confidence and Understanding Uncertainty in Real-Time Systems. RTNS 2020: 67-77 - [c12]David Griffin, Iain Bate, Robert I. Davis:
Generating Utilization Vectors for the Systematic Evaluation of Schedulability Tests. RTSS 2020: 76-88 - [c11]Xinwei Fang, Iain Bate, David Griffin:
Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-Cost Environmental Sensors. SmartCity360° 2020: 442-461
2010 – 2019
- 2019
- [c10]David Griffin
Validating high level simulation results against experimental data and low level simulation: a case study. RTNS 2019: 30-40 - 2018
- [j1]Benjamin Lesage
On the analysis of random replacement caches using static probabilistic timing methods for multi-path programs. Real Time Syst. 54(2): 307-388 (2018) - [c9]Alan Burns, James Harbin, Leandro Soares Indrusiak
AirTight: A Resilient Wireless Communication Protocol for Mixed-Criticality Systems. RTCSA 2018: 65-75 - 2017
- [c8]Benjamin Lesage, David Griffin, Iain Bate, Frank Soboczenski:
Exploring and Understanding Multicore Interference from Observable Factors. Automotive - Safety & Security 2017: 75-88 - [c7]David Griffin
Forecast-based interference: modelling multicore interference from observable factors. RTNS 2017: 198-207 - 2015
- [c6]Benjamin Lesage, David Griffin
A framework for the evaluation of measurement-based timing analyses. RTNS 2015: 35-44 - [c5]David Griffin
Modelling fault dependencies when execution time budgets are exceeded. RTNS 2015: 65-74 - [c4]Benjamin Lesage, David Griffin, Sebastian Altmeyer, Robert I. Davis:
Static Probabilistic Timing Analysis for Multi-path Programs. RTSS 2015: 361-372 - 2014
- [c3]David Griffin
Lossy Compression for Worst-Case Execution Time Analysis of PLRU Caches. RTNS 2014: 203 - [c2]David Griffin, Benjamin Lesage, Alan Burns, Robert I. Davis:
Static Probabilistic Timing Analysis of Random Replacement Caches using Lossy Compression. RTNS 2014: 289 - 2013
- [b1]David Jack Griffin:
Lossy compression applied to the worst case execution time problem. University of York, UK, 2013 - 2010
- [c1]David Griffin
Realism in Statistical Analysis of Worst Case Execution Times. WCET 2010: 44-53
Coauthor Index
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