Soft errors in DNN accelerators: A comprehensive review
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Faster and more accurate tools are required.
“Based on these considerations faster and more accurate tools are required, as it has also been stated in [10].”
From Fast and Accurate Error Simulation for CNNs Against Soft Errors (2023) · cites this paper as [10]
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References 139 · Cited by 102
- Authors
- Ibrahim, Y., Wang, H., Liu, J., Wei, J., Chen, L., Rech, P., Adam, K., & Guo, G.
- Affiliations
- Hohai University (CN)
- China Electronics Technology Group Corporation (CN)
- University of Saskatchewan (CA)
- Universidade Federal do Rio Grande do Sul (BR)
- Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
- China Institute of Atomic Energy (CN)
- Corresponding author
- Wang, Haibin
- Venue
- Microelectronics Reliability
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 115
- Pages
- 113969
- ISSN
- 0026-2714 (ISSN-L)
- OpenAlex
- W3096295711
- Cited by
- 102
- References
- 139
- Citations by year
- 2026: 21 · 2025: 15 · 2024: 19 · 2023: 23 · 2022: 16 · 2021: 7 · 2020: 1
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Microelectronics Reliability (publishedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Funders
- Fundamental Research Funds for the Central Universities (B200202216)
- China Institute of Atomic Energy (KFZC2020010401)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radiation Effects in Electronics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Keywords
- soft errors, deep neural network accelerators, fault tolerance, transient faults, accelerator reliability, fault propagation, hardware faults, safety-critical systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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