CASTED: Core-Adaptive Software Transient Error Detection for Tightly Coupled Cores

Mitropoulou, Konstantina; Porpodas, Vasileios; Cintra, Marcelo

doi:10.1109/ipdps.2013.107

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…For instance, the approach presented in [22,23] applies full duplication and full comparison in the compiled code, whereas the approach of [24] reduces the number of compared instructions. CASTED [25] proposes a compiler-based technique to distribute error detection overhead across core/clusters, which is applicable to tightly coupled cores and clustered VLIWs. Although static approaches do not require additional hardware, the code size, storage and energy consumption are increased.…”

Section: Related Workmentioning

confidence: 99%

Dynamic fault-tolerant VLIW processor with heterogeneous Function Units

Psiakis

Kritikakou

Sentieys

2022

Microprocessors and Microsystems

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Section: Related Workmentioning

confidence: 99%

Dynamic fault-tolerant VLIW processor with heterogeneous Function Units

Psiakis

Kritikakou

Sentieys

2022

Microprocessors and Microsystems

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“…CASTED [29] is implemented at the backend stage of the compilation process; it uses the GCC-4.5.0 [30] compiler framework. This technique includes two passes, one for error detection and another one for recovery.…”

Section: ) Thread-level Replication (Tlr)mentioning

confidence: 99%

ACEDR: Automatic Compiler Error Detection and Recovery for COTS CPU and Caches

Nezzari

Bridges

2019

IEEE Trans. Rel.

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Recently there has been an increasing demand for more powerful processors for the next-generation space missions, such as communication and earth observation. The challenge is how to improve the reliability of the processor under the "single event effects" in orbit. We have previously proposed a new way of implementing any traditional software error detection and correction techniques at instruction level, capable of covering both the CPU and caches of "commercial off the shelf" processors. In this paper, a novel way of evaluation of the software protection is presented, based on a theoretical model and software injection experiments to predict the reliability of the whole processing architecture. The fault injection will evaluate the ability of the protection code to detect and recover errors in addition to the accuracy of the reliability models, by comparing the reliability of the theoretical predictions to the reliability of the injection experiments. Automatic compiler error detection and recovery improves the reliability of the system by reducing the error rate of "single event upsets." In some benchmarks, the error rate was reduced to less than 1%. This research has been tested in two machines; Intel core i5-3470 and a Raspberry Pi 3. On the first processor, the overhead was less than 15%, and on the second one, the overhead was less than 17%. This research can also be ported to multiple high level languages, with the ability to cover multiple instructions and datatypes.

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“…Depending on the accuracy of the simulation, this can vary from extremely slow (e.g., at the RTLlevel), to quite slow (tens/hundreds of MIPS) for the fastest emulators. This is a very popular technique and has been used in several studies, including [5,11,13,18,20,22,23,27,28,36,39]. 3.…”

Section: Introduction and Related Workmentioning

confidence: 99%

ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis

Porpodas

2019

Preprint

Self Cite

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The experimental evaluation of fault-tolerance studies relies on tools that inject errors while programs are running, and then monitor the execution and the output for faulty execution. In particular, the established methodology in softwarebased transient-fault reliability studies, involves running each workload hundreds or thousands of times, injecting a random bit-flip in the process. The majority of such studies rely on custom-built fault-injection tools that are based on either a modified processor simulator, or a code instrumentation framework. Such tools are non-trivial to develop, and are usually orders of magnitude slower than native execution.In this paper we present ZOFI, a novel timing-based faultinjection tool that is aimed at being used in fault-coverage studies for transient faults. ZOFI is a zero-overhead tool, meaning that the analyzed workload runs at native speed. This is orders-of-magnitude faster compared to common approaches that are designed around simulators or code instrumentation tools. ZOFI is free software and is available at https://github.com/vporpo/zofi.

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CASTED: Core-Adaptive Software Transient Error Detection for Tightly Coupled Cores

Cited by 4 publications

References 43 publications

Dynamic fault-tolerant VLIW processor with heterogeneous Function Units

Dynamic fault-tolerant VLIW processor with heterogeneous Function Units

ACEDR: Automatic Compiler Error Detection and Recovery for COTS CPU and Caches

ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis

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