A Self-Healing Real-Time System Based on Run-Time Self-Reconfiguration

Gericota, Manuel; Alves, Gustavo R.; Ferreira, José Manuel Martins

doi:10.1109/etfa.2005.1612638

Cited by 17 publications

(10 citation statements)

References 9 publications

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“…Combining TMR with self-healing using dynamic partial reconfiguration is used in [10] and [11]. However, the results achievable with this solution are computationally expensive and area hungry.…”

Section: Related Workmentioning

confidence: 99%

An error-detection and self-repairing method for dynamically and partially reconfigurable systems

Reorda

Sterpone

Ullah

2013

2013 18th Ieee European Test Symposium (Ets)

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Reconfigurable systems are gaining an increasing interest in the domain of safety-critical applications, for example in space and avionic applications. In fact, the capability of reconfiguring the system during run-time execution and the high computational power of modern Field Programmable Gate Arrays (FPGAs) makes these devices suitable for data processing. Moreover, such systems must also guarantee the abilities of selfawareness, self-diagnosis and self-repair in order to cope with errors due to the harsh conditions typically existing in some environments. In this paper we propose a self-repairing method for partially and dynamically reconfigurable systems applied at a fine-grain granularity level. Our method is able to recover and correct errors using the run-time partial reconfiguration capabilities offered by modern SRAM-based FPGAs. Fault injection experiments have been executed on a dynamically reconfigurable system embedding a number of benchmark circuits. Results demonstrate that the method can achieve full detection of single and multiple errors, while significantly improving the system availability with respect to traditional error detection and correction methods.

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Section: Related Workmentioning

confidence: 99%

An error-detection and self-repairing method for dynamically and partially reconfigurable systems

Reorda

Sterpone

Ullah

2013

2013 18th Ieee European Test Symposium (Ets)

View full text Add to dashboard Cite

show abstract

“…Unfortunately, the current trend of FPGA-based solutions is healing by introducing module level [12,13,15,30] redundant hardware units such as triple module redundancy (TMR). TMR [15] is a well-known healing technique that requires three copies of the same logic or module.…”

Section: Introductionmentioning

confidence: 99%

“…This results in complex and lengthy reconfigurations. [12] and [13] propose a self-healing mechanism based on run-time reconfiguration purely meant for systems on FPGA. This approach enables the soft core to interact with the internal configuration port (ICAP) of the reconfigurable device.…”

Section: Introductionmentioning

confidence: 99%

FPGA based distributed self healing architecture for reusable systems

2009

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Creating an environment of "no doubt" for computing systems is critical for supporting next generation science, engineering, and commercial applications. With reconfigurable devices such as Field Programmable Gate Arrays (FPGAs), designers are provided with a seductive tool to use as a basis for sophisticated but highly reliable platforms. Reconfigurable computing platforms potentially offer the enhancement of reliability and recovery from catastrophic failures through partial and dynamic reconfigurations; and eliminate the need for redundant hardware resources typically used by existing fault-tolerant systems. We propose a two-level self-healing methodology to offer 100% availability for mission critical systems with comparatively less hardware overhead and performance degradation. Our proposed system first undertakes healing at the node-level. Failing to rectify the system at the node-level, networklevel healing is then undertaken. We have designed a system based on Xilinx Virtex-5 FPGAs and Cirronet wireless mesh nodes to demonstrate autonomous wireless healing capability among networked node devices. Our prototype is a proof-of-concept work which demonstrates the feasibility of using FPGAs to provide maximum computational availability in a critical self-healing distributed architecture.

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“…However, and because these devices rely on memory cells to define logic paths, these, and not only registers, are also susceptible to SEUs. Again, in this case, the only effective protection is full module redundancy [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Self-Healing Radiation-Tolerant Implementations on Reconfigurable FPGAs

Gericota¹,

Lemos²,

Alves³

et al. 2007

2007 IEEE Design and Diagnostics of Electronic Circuits and Systems

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-To increase the amount of logic available in SRAM-based FPGAs manufacturers are using nanometric technologies to boost logic density and reduce prices. However, nanometric scales are highly vulnerable to radiation-induced faults that affect values stored in memory cells. Since the functional definition of FPGAs relies on memory cells, they become highly prone to this type of faults.Fault tolerant implementations, based on Triple Modular Redundancy (TMR) infrastructures, help to keep the correct operation of the circuit. However, TMR is not sufficient to guarantee the safe operation of a circuit. Other issues like the effects of Multi-Bit Upsets (MBU) or fault accumulation, have also to be addressed. Furthermore, in case of a fault occurrence the correct operation of the affected module must be restored and the current state of the circuit coherently re-established.A solution that enables the autonomous correct restoration of the functional definition of the affected module, avoiding fault accumulation, re-establishing the correct circuit state in realtime, while keeping the normal operation of the circuit, is presented in this paper.

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A Self-Healing Real-Time System Based on Run-Time Self-Reconfiguration

Abstract: ♦The new generations of SRAM-based FPGA (Field Programmable Gate Array)

Cited by 17 publications

References 9 publications

An error-detection and self-repairing method for dynamically and partially reconfigurable systems

An error-detection and self-repairing method for dynamically and partially reconfigurable systems

FPGA based distributed self healing architecture for reusable systems

A Framework for Self-Healing Radiation-Tolerant Implementations on Reconfigurable FPGAs

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