Abstract-This paper proposes a coarse-grained dynamically reconfigurable architecture that offers flexible reliability to deal with soft errors and aging. The notion of a cluster is introduced as a basic architectural element; each cluster can select four operation modes with different levels of spatial redundancy and area efficiency. We evaluate the aging effect due to negative bias temperature instability and illustrate that periodically alternating active cells with resting ones will greatly mitigate the effects of the aging process with a negligible power overhead. The area of circuits that are added for immunity to soft errors and for mitigating aging effects is 29.3% of the proposed reconfigurable device. A fault-tolerance evaluation of a Viterbi decoder mapped on the architecture suggests that there is a considerable tradeoff between reliability and area overhead. Finally, we design and fabricate a test chip that contains a 4×8 cluster array in a 65-nm process and demonstrate its immunity to soft errors. Accelerated tests using an alpha particle foil showed that the mean time to failure and failure in time are well characterized with the number of sensitive bits and that our architecture can trade off soft error immunity with the area of implementation.
This paper studies performance and timing failure probability of time-shifted redundant circuits and path-/circuit-replica circuits. Measurement-based experiments using a fabricated test chip are performed. For an approximately similar false positive error probability for the path-replica and circuit-replica, the false negative error probability of the circuit-replica is approximately two orders of magnitude less than that of the path-replica circuits. When attaining a false negative error of zero, the probability of error detection and reexecution in time-shifted redundant circuits is comparable to, or rather smaller than that of the path-replica circuits.
This paper proposes a mixed-grained reconfigurable architecture consisting of fine-grained and coarse-grained fabrics, each of which can be configured for different levels of reliability depending on the reliability requirement of target applications, e.g. mission-critical applications to consumer products. Thanks to the fine-grained fabrics, the architecture can accommodate a state machine, which is indispensable for exploiting C-based behavioral synthesis to trade latency with resource usage through multi-step processing using dynamic reconfiguration. In implementing the architecture, the strategy of dynamic reconfiguration, the assignment of configuration storage and the number of implementable states are key factors that determine the achievable trade-off between used silicon area and latency. We thus split the configuration bits into two classes; state-wise configuration bits and state-invariant configuration bits for minimizing area overhead of configuration bit storage. Through a case study, we experimentally explore the appropriate number of implementable states. A proof-of-concept VLSI chip was fabricated in 65 nm process. Measurement results show that applications on the chip can be working in a harsh radiation environment. Irradiation tests also show the correlation between the number of sensitive bits and the mean time to failure. Furthermore, the temporal error rate of an example application due to soft errors in the datapath was measured and demonstrated for reliability-aware mapping.
Abstract-This paper presents a mixed-grained reconfigurable VLSI array architecture that can cover mission-critical applications to consumer products through C-to-array application mapping. A proof-of-concept VLSI chip was fabricated in 65nm process. Measurement results show that applications on the chip can be working in a harsh radiation environment. Irradiation tests also show the correlation between the number of sensitive bits and the mean time to failure. Furthermore, the temporal error rate of an example application due to soft errors in the datapath were measured and demonstrated for reliability-aware mapping.
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