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Soft error vulnerability aware process variation mitigation
2009 IEEE 15th International Symposium on High Performance Computer Architecture, 2009As transistor process technology approaches the nanometer scale, process variation significantly affects the design and optimization of high performance microprocessors. Prior studies have shown that chip operating frequency and leakage power can have large variations due to fluctuations in transistor gate length and sub-threshold voltage. In this work,
Xin Fu 0001 +2 more
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Low overhead Soft Error Mitigation techniques for high-performance and aggressive systems
, 2009 The threat of soft error induced system failure in high performance computing systems has become more prominent, as we adopt ultra-deep submicron process technologies.
Naga Durga Prasad Avirneni +1 more
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Soft Error Mitigation in Soft-Core Processors
2016This chapter aims to present different approaches and techniques available in literature regarding the fault mitigation on soft-core processors, with an especial emphasis on those ones involving hardware/software hybrid-based solutions.
Antonio Martínez-Álvarez +2 more
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A method for issue queue soft error vulnerability mitigation
2016 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2016Issue queue is a critical structure in the pipeline and more vulnerable to soft-error strikes. Reducing soft error vulnerability of issue queue cannot be ignored in microprocessor reliability design. Instructions clog in issue queue caused by instruction flow mix and functional unit configuration mismatch.
Liu Tang, Zhangqin Huang
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A New Mitigation Approach for Soft Errors in Embedded Processors
IEEE Transactions on Nuclear Science, 2007Embedded processors, like for example processor macros inside modern FPGAs, are becoming widely used in many applications. As soon as these devices are deployed in radioactive environments, designers need hardening solutions to mitigate radiation-induced errors.
Abate F. +2 more
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Software-Level Soft-Error Mitigation Techniques
2010Several application domains exist, where the effects of Soft Errors on processor-based systems cannot be faced by acting on the hardware (either by changing the technology, or the components, or the architecture, or whatever else). In these cases, an attractive solution lies in just modifying the software: the ability to detect and possibly correct ...
REBAUDENGO, Maurizio +2 more
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Design techniques for soft-error mitigation
2010 IEEE International Conference on Integrated Circuit Design and Technology, 2010In nanometric technologies, circuits are increasingly sensitive to various kinds of perturbations. Soft-errors, a concern in the past for space applications, became a reliability issue at ground-level. Alpha particles and atmospheric neutrons induce single event upsets (SEU) affecting memory cells, latches and flip-flops, and single event transients ...
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Mitigation of Soft Errors in Implantable Medical Devices
2020 7th International Conference on Electrical and Electronics Engineering (ICEEE), 2020Today, soft errors are one of the major design technology challenges in implantable medical devices (IMDs). IMDs such as pacemakers and implantable cardioverter defibrillators, relying on integrated-circuit technology, are susceptible to soft errors from energetic particles (neutron and alpha particles).
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Reduced overhead soft error mitigation using error control coding techniques
2011 IEEE 17th International On-Line Testing Symposium, 2011Soft errors are one of the biggest reliability challenges for present day electronic devices. With technology scaling, the contribution of soft errors to overall device failure is on the rise and it is becoming the dominant reliability failure mechanism. Several techniques exist for the detection and correction of soft errors.
V. Prasanth 0001 +2 more
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A Soft-Minimum Method for NLOS Error Mitigation in TOA Systems
2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016The accuracy of indoor positioning systems could be significantly reduced by non-line-of-sight (NLOS) propagation. The bulk of existing work on NLOS error mitigation for time-of-arrival (TOA) systems assumes that the NLOS links can be identified and/or the NLOS error statistics are known. To avoid requiring such information that is often unavailable in
Zhenqiang Su +2 more
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