David Griffin

Orcid: 0000-0002-4077-0005

Affiliations:
  • University of York, Department of Computer Science, UK


According to our database1, David Griffin authored at least 24 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Optimising network interactions through device agnostic models.
CoRR, 2024

2023
Exploring the Robustness of Magnetic Ring Arrays Reservoir Computing with Linear Field Calibration.
Proceedings of the Unconventional Computation and Natural Computation, 2023

DebugNS: Novelty Search for Finding Bugs in Simulators.
Proceedings of the IEEE/ACM International Workshop on Genetic Improvement, 2023

2022
A framework for multi-core schedulability analysis accounting for resource stress and sensitivity.
Real Time Syst., 2022

A perspective on physical reservoir computing with nanomagnetic devices.
CoRR, 2022

Functional Uncertainty in Real-Time Safety-Critical Systems.
Proceedings of the RTNS 2022: The 30th International Conference on Real-Time Networks and Systems, Paris, France, June 7, 2022

2021
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics.
CoRR, 2021

Schedulability Analysis for Multi-Core Systems Accounting for Resource Stress and Sensitivity.
Proceedings of the 33rd Euromicro Conference on Real-Time Systems, 2021

2020
The AirTight Protocol for Mixed Criticality Wireless CPS.
ACM Trans. Cyber Phys. Syst., 2020

Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-Cost Environmental Sensors.
Proceedings of the Science and Technologies for Smart Cities, 2020

Generating Utilization Vectors for the Systematic Evaluation of Schedulability Tests.
Proceedings of the 41st IEEE Real-Time Systems Symposium, 2020

Establishing Confidence and Understanding Uncertainty in Real-Time Systems.
Proceedings of the 28th International Conference on Real Time Networks and Systems, 2020

2019
Validating high level simulation results against experimental data and low level simulation: a case study.
Proceedings of the 27th International Conference on Real-Time Networks and Systems, 2019

2018
On the analysis of random replacement caches using static probabilistic timing methods for multi-path programs.
Real Time Syst., 2018

AirTight: A Resilient Wireless Communication Protocol for Mixed-Criticality Systems.
Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018

2017
Forecast-based interference: modelling multicore interference from observable factors.
Proceedings of the 25th International Conference on Real-Time Networks and Systems, 2017

Exploring and Understanding Multicore Interference from Observable Factors.
Proceedings of the Automotive - Safety & Security 2017, 2017

2015
Static Probabilistic Timing Analysis for Multi-path Programs.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

A framework for the evaluation of measurement-based timing analyses.
Proceedings of the 23rd International Conference on Real Time Networks and Systems, 2015

Modelling fault dependencies when execution time budgets are exceeded.
Proceedings of the 23rd International Conference on Real Time Networks and Systems, 2015

2014
Static Probabilistic Timing Analysis of Random Replacement Caches using Lossy Compression.
Proceedings of the 22nd International Conference on Real-Time Networks and Systems, 2014

Lossy Compression for Worst-Case Execution Time Analysis of PLRU Caches.
Proceedings of the 22nd International Conference on Real-Time Networks and Systems, 2014

2013
Lossy compression applied to the worst case execution time problem.
PhD thesis, 2013

2010
Realism in Statistical Analysis of Worst Case Execution Times.
Proceedings of the 10th International Workshop on Worst-Case Execution Time Analysis, 2010


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