ISIS Neutron and Muon Source Data Journal
This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Reliability Evaluation of Accelerators, Processors, and Algorithms for Neural Networks
Abstract: The goal of this proposal is to continue our evaluation of the resilience of modern parallel devices that include computing cores of different precision, and to compare the result of several computing architectures and several different implementations of the same application (i.e., object detection implemented using neural networks). We will consider the neutron sensitivity of modern System on Chips embedding ARM core, Graphics Processing Units, multi-core processors, and programmable devices such as FPGAs. During our experiments we will run various algorithm that implements object-detection frameworks for automotive applications.
Principal Investigator: Dr Paolo Rech
Local Contact: Dr Carlo Cazzaniga
Experimenter: Dr Fernando Fernandes Dos Santos
Experimenter: Mr Fabiano Pereira Libano
Experimenter: Dr Giulio Gambardella
Experimenter: Mr Olof Terner
DOI: 10.5286/ISIS.E.RB2000137
ISIS Experiment Number: RB2000137
| Part DOI | Instrument | Public release date | Download Link |
|---|---|---|---|
| 10.5286/ISIS.E.RB2000137-1 | CHIPIR | 09 March 2023 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Paolo Rech et al; (2020): Reliability Evaluation of Accelerators, Processors, and Algorithms for Neural Networks , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2000137
Data is released under the CC-BY-4.0 license.
