Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults | Paper Citation Record

Observation 6b692913-1313-49c7-940e-ff2054cea5c2 · outbound

This paper cites Minerva: Enabling low-power, highly-accurate deep neural network accelerators,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Minerva: Enabling low-power, highly-accurate deep neural network accelerators,

Reference 1

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Observation 632e3c29-5c53-4b04-af73-85b92e35ee87 · outbound

This paper cites Intellinoc: A holistic design framework for energy-efficient and reliable on-chip communication for manycores,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Intellinoc: A holistic design framework for energy-efficient and reliable on-chip communication for manycores,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.230135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59688449-771e-4a2a-aab4-973e10fe4532 · outbound

This paper cites Cure: A high-performance, low-power, and reliable network-on-chip design using reinforcement learning,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Cure: A high-performance, low-power, and reliable network-on-chip design using reinforcement learning,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee809216-877e-4ad9-9165-97fa8d95c295 · outbound

This paper cites A versatile and flexible chiplet-based system design for heterogeneous manycore architectures,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A versatile and flexible chiplet-based system design for heterogeneous manycore architectures,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.214700Z

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Observation c262c2ad-e6d9-407b-99d3-be2bae6a1def · outbound

This paper cites Adapt-noc: A flexible network-on-chip design for heterogeneous many- core architectures,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Adapt-noc: A flexible network-on-chip design for heterogeneous many- core architectures,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.207339Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c26be2d-8f60-4801-b8a4-13ec27bb2bd8 · outbound

This paper cites Training in turmoil: Silent data corruption in systems at scale,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Training in turmoil: Silent data corruption in systems at scale,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.199703Z

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Observation 4b34c875-c220-489e-97ef-f7e2bee5072b · outbound

This paper cites Ascend: A scalable and energy-efficient deep neural network accelerator with photonic interconnects,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Ascend: A scalable and energy-efficient deep neural network accelerator with photonic interconnects,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.191601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 835c9204-d36d-4cd3-83eb-a3ccf725badf · outbound

This paper cites an unresolved cited work.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:31:15.184014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ac131ee-edf3-4036-98d4-67a238801a63 · outbound

This paper cites Mozart: Masking outputs with zeros for architectural robustness and testing of dnn accelerators,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Mozart: Masking outputs with zeros for architectural robustness and testing of dnn accelerators,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.176451Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation add2c9ba-2806-4ce2-82a5-7cc094d94d2a · outbound

This paper cites Cooperative built- in self-testing and self-diagnosis of noc bisynchronous channels,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Cooperative built- in self-testing and self-diagnosis of noc bisynchronous channels,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.168428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4635d114-d1b8-4423-a718-332fef393bdd · outbound

This paper cites On the design and analysis of fault tolerant noc architecture using spare routers,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults On the design and analysis of fault tolerant noc architecture using spare routers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.160758Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4429ce9-8a02-45eb-a51b-bac20e1c43ce · outbound

This paper cites Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.432487Z

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Observation 495bd3de-6f65-4989-bb25-470204d1e245 · outbound

This paper cites A low-cost fault corrector for deep neural networks through range restriction,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A low-cost fault corrector for deep neural networks through range restriction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.149281Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ed5084e-f40b-4fa0-a05f-6615f7e270e0 · outbound

This paper cites Numerical accuracy,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Numerical accuracy,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.142137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db14b9fb-075d-474a-bc67-82d94e540326 · outbound

This paper cites Detecting silent data corruptions in the wild.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Detecting silent data corruptions in the wild

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.439980Z

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Observation 90ba77d4-0528-4a62-ab90-d35bb7f97b8e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.135125Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0dc8345-2f9f-4e2c-b60b-d1ed13379b12 · outbound

This paper cites Random-pattern coverage en- hancement and diagnosis for lssd logic self-test,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Random-pattern coverage en- hancement and diagnosis for lssd logic self-test,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.128104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d87464c6-2e2b-49a9-a000-cea5215dd779 · outbound

This paper cites Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.121039Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b2e92bf-bce1-4c6b-a2fb-a9ea9372c07e · outbound

This paper cites Bist for network-on-chip interconnect infrastructures,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Bist for network-on-chip interconnect infrastructures,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.113265Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74a3b624-dcd3-4607-9e8b-c24ffce3be93 · outbound

This paper cites Understanding and Mitigating Hardware Failures in Deep Learning Training Systems,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Understanding and Mitigating Hardware Failures in Deep Learning Training Systems,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.453340Z

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Observation cf0148de-45d4-4577-8e4f-a6ee519f0f7a · outbound

This paper cites Cores that don’t count,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Cores that don’t count,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.455924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb10e5e-6cdf-4be8-8232-0f8cf3b448bd · outbound

This paper cites A neural algorithm for recon- structing mesh-connected processor arrays using single-track switches,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A neural algorithm for recon- structing mesh-connected processor arrays using single-track switches,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.105491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f40a0375-2c6e-4895-9af2-0924cf19ac1c · outbound

This paper cites Gcnax: A flexible and energy- efficient accelerator for graph convolutional neural networks,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Gcnax: A flexible and energy- efficient accelerator for graph convolutional neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.097826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36003eeb-620b-4722-aaa7-d194beacbf22 · outbound

This paper cites SGCNAX: A scalable graph convolutional neural network accelerator with workload balancing,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults SGCNAX: A scalable graph convolutional neural network accelerator with workload balancing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.090200Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6942ad4-1447-4f3d-9e89-67211db28734 · outbound

This paper cites Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.082292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad421b30-eb7e-4e91-b818-d848fde3541c · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults In-datacenter performance analysis of a tensor processing unit,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.073806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbcb699a-c932-4ad1-ae12-6bad971f862a · outbound

This paper cites High-performance, energy- efficient, fault-tolerant network-on-chip design using reinforcement learning,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults High-performance, energy- efficient, fault-tolerant network-on-chip design using reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.065800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11db32aa-2ab8-4634-933e-abebfe032b01 · outbound

This paper cites Cost-effective generation of minimal test sets for stuck-at faults in combinational logic circuits,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Cost-effective generation of minimal test sets for stuck-at faults in combinational logic circuits,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.057760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8164d92b-e17c-4c1e-aa8a-ca2ef3f0a217 · outbound

This paper cites A study of bfloat16 for deep learning training,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A study of bfloat16 for deep learning training,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.049954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 661958bd-003b-469b-937c-f5701073a72e · outbound

This paper cites ImageNet Classifica- tion with Deep Convolutional Neural Networks,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults ImageNet Classifica- tion with Deep Convolutional Neural Networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.041867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6ec11f7-5be5-4fb8-b996-041b8d63387c · outbound

This paper cites Why systolic architectures?.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Why systolic architectures?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.482865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a7f0b7-7afa-45e1-a50c-015251b1d34a · outbound

This paper cites Why systolic architectures?.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Why systolic architectures?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.030540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 411b69be-e45d-4aca-901a-c014b2c26c2a · outbound

This paper cites Locst: A built-in self-test technique,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Locst: A built-in self-test technique,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.023629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c84088c4-c11c-4f4e-92b4-d3d19dc202aa · outbound

This paper cites Gradient-based learning applied to document recognition,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Gradient-based learning applied to document recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.016600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a691950b-2958-49b2-a391-1c95ec83d1e1 · outbound

This paper cites Special feature: Semiconductor memory reliability with error detecting and correcting codes,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Special feature: Semiconductor memory reliability with error detecting and correcting codes,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.009852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b8476c6-2825-4048-aab2-5fd7494d0099 · outbound

This paper cites Understanding error propagation in deep learning neural network (dnn) accelerators and applications,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Understanding error propagation in deep learning neural network (dnn) accelerators and applications,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:15.003165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d42eb7f-56fe-4d55-af2f-d2ef437bab3a · outbound

This paper cites Squeezing the last mhz for cnn acceleration on FPGAs,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Squeezing the last mhz for cnn acceleration on FPGAs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.995278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 244ac81a-ed65-46d3-b08c-2b4fae9aeea5 · outbound

This paper cites A scalable built-in self-test/self- diagnosis architecture for 2d-mesh based chip multiprocessor systems,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A scalable built-in self-test/self- diagnosis architecture for 2d-mesh based chip multiprocessor systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.988285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 085e18dc-62fe-4b16-b179-c8b8d8963184 · outbound

This paper cites Mishra, J.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Mishra, J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.981209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ad3e217-d89f-4646-9c18-660e84c42702 · outbound

This paper cites Error detection by duplicated instructions in super-scalar processors,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Error detection by duplicated instructions in super-scalar processors,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.974435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aca5607f-5a8e-4436-81f7-bb31413bb7ac · outbound

This paper cites GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:31:14.580443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee944d98-d8bc-4dc3-9eee-3ff2b192db4b · outbound

This paper cites Stuck-at fault: a fault model for the next millennium,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Stuck-at fault: a fault model for the next millennium,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.966716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7723bff1-b048-4984-b5b9-8166a8a0905b · outbound

This paper cites Utilizing noc switches as bist structures in 2d- mesh network-on-chips,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Utilizing noc switches as bist structures in 2d- mesh network-on-chips,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.959514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2acf5a1c-ec2c-4d4e-a295-c808680806fa · outbound

This paper cites On the resilience of rtl nn accelerators: Fault characterization and mitigation,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults On the resilience of rtl nn accelerators: Fault characterization and mitigation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.951992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c9b71de-67d4-482b-9689-70296b96e7e1 · outbound

This paper cites Applying tmr in hardware accelerators generated by high-level synthesis design flow for mitigating multiple bit upsets in sram-based FPGAs,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Applying tmr in hardware accelerators generated by high-level synthesis design flow for mitigating multiple bit upsets in sram-based FPGAs,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.944913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea995116-7f39-49cb-96c1-e719a62c5ae2 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.522979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730e92ef-6b4e-487d-8af7-c24c8f8092ac · outbound

This paper cites A built-in circuit for self-repairing mesh-connected processor arrays with spares on diagonal,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A built-in circuit for self-repairing mesh-connected processor arrays with spares on diagonal,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.937239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77b8c877-dce7-4849-ac5b-6fc389010bfe · outbound

This paper cites A fault-tolerant noc scheme using bidirectional channel,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A fault-tolerant noc scheme using bidirectional channel,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.929665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 525ca9ca-574a-4c4e-b47a-0055a1a051c7 · outbound

This paper cites Attention is All you Need,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Attention is All you Need,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.922237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 580bae4a-9634-4ba2-93ff-ea298f560a50 · outbound

This paper cites AGAPE: anomaly detection with generative adversarial network for improved performance, energy, and security in manycore systems,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults AGAPE: anomaly detection with generative adversarial network for improved performance, energy, and security in manycore systems,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.914632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75151b18-c759-4997-8f01-8d8efb74425a · outbound

This paper cites A pedestrian and vehicle rapid identification model based on convolutional neural network,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults A pedestrian and vehicle rapid identification model based on convolutional neural network,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.906066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5009233-f191-41ad-b3d3-db8aad17c196 · outbound

This paper cites Resilient neural network training for accelerators with computing errors,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Resilient neural network training for accelerators with computing errors,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.897542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e95d5f03-947f-40ee-be96-5440a6d81c6b · outbound

This paper cites Fat: Training neural networks for reliable inference under hardware faults,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Fat: Training neural networks for reliable inference under hardware faults,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.889535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 379401fc-be74-4bc6-9e16-e6cd5ba70561 · outbound

This paper cites Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.881767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c053ae3b-fdf0-4990-99cf-b7c0d07f6dd1 · outbound

This paper cites Research on NVIDIA deep learning accelerator,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Research on NVIDIA deep learning accelerator,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.873974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4172ca1-94c3-46b5-8840-647b9c973092 · outbound

This paper cites Parallelized Stochastic Gradient Descent,.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Parallelized Stochastic Gradient Descent,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:14.865724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee91189f-8434-48f9-9d27-336b6b63623f · outbound

This paper cites Available: https://doi.org/10.1145/3126908.3126964.

Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults Available: https://doi.org/10.1145/3126908.3126964

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:14.497879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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