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Applying lightweight soft error mitigation techniques to embedded mixed precision deep neural networks
Deep neural networks (DNNs) are being incorporated in resource-constrained IoT devices,
which typically rely on reduced memory footprint and low-performance processors. While …
which typically rely on reduced memory footprint and low-performance processors. While …
HAFT: Hardware-assisted fault tolerance
Transient hardware faults during the execution of a program can cause data corruptions. We
present HAFT, a fault tolerance technique using hardware extensions of commodity CPUs to …
present HAFT, a fault tolerance technique using hardware extensions of commodity CPUs to …
Lightweight checkpoint technique for resilience against soft errors
Systems and methods for implementing a lightweight check point technique for resilience
against soft errors are dis closed. The technique provides effective, safe, and timely soft error …
against soft errors are dis closed. The technique provides effective, safe, and timely soft error …
Towards dynamic dependable systems through evidence-based continuous certification
Future cyber-physical systems are expected to be dynamic, evolving while already being
deployed. Frequent updates of software components are likely to become the norm even for …
deployed. Frequent updates of software components are likely to become the norm even for …
Dataflow model–based software synthesis framework for parallel and distributed embedded systems
E Jeong, D Jeong, S Ha - ACM Transactions on Design Automation of …, 2021 - dl.acm.org
Existing software development methodologies mostly assume that an application runs on a
single device without concern about the non-functional requirements of an embedded …
single device without concern about the non-functional requirements of an embedded …
Asymmetric resilience: Exploiting task-level idempotency for transient error recovery in accelerator-based systems
Accelerators make the task of building systems that are re-silient against transient errors like
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …
NEMESIS: A software approach for computing in presence of soft errors
Soft errors are considered as the main reliability challenge for sub-nanoscale
microprocessors. Software-level soft error resilience schemes are desirable because they …
microprocessors. Software-level soft error resilience schemes are desirable because they …
Elzar: Triple modular redundancy using intel avx (practical experience report)
Instruction-Level Redundancy (ILR) is a well-known approach to tolerate transient CPU
faults. It replicates instructions in a program and inserts periodic checks to detect and correct …
faults. It replicates instructions in a program and inserts periodic checks to detect and correct …
SIMD-based soft error detection
Soft error rates in processors have been increasing with decreasing feature size and larger
chips. Software-only solutions have been proposed to deal with this problem, for instance …
chips. Software-only solutions have been proposed to deal with this problem, for instance …
Composition of component models-a key to construct big systems
W Reisig - International Symposium on Leveraging Applications of …, 2020 - Springer
Modern informatics based systems are mostly composed from self-contained components.
To be useful for really big systems, composed of many components, proper abstraction …
To be useful for really big systems, composed of many components, proper abstraction …