Safety-critical electronics components require thermal and electrical stress phases at the end of manufacturing test to screen weak devices. It is possible to optimize the stress induced during the screening phase of Burn-In by running in parallel different types of stress procedures. In previous works, stress procedures of CPU, RAM memory and FLASH memory have been interleaved using DMA and leveraging on instruction CACHE memory. This paper presents a novel approach for optimizing stress procedures at CPU level using an Evolutionary Algorithm. The evolutionary-based framework improves the stress of the CPU procedure when it runs in presence of a parallel stress schema. The manuscript also reports the results gathered by exploiting the evolutionary strategy in a device used in common automotive systems.

An Evolutionary Algorithm Approach to Stress Program Generation During Burn-In / Appello, Davide; Bernardi, Paolo; Cantoro, Riccardo; Colazzo, Andrea; Motta, Alessandro; Pagani, Alberto; Pollaccia, Giorgio; Restifo, Marco; Ernesto, Sanchez; Venini, Federico. - In: JOURNAL OF LOW POWER ELECTRONICS. - ISSN 1546-1998. - STAMPA. - (2018), pp. 86-98. [10.1166/jolpe.2018.1542]

An Evolutionary Algorithm Approach to Stress Program Generation During Burn-In

Paolo Bernardi;Riccardo Cantoro;Marco Restifo;Ernesto Sanchez;and Federico Venini
2018

Abstract

Safety-critical electronics components require thermal and electrical stress phases at the end of manufacturing test to screen weak devices. It is possible to optimize the stress induced during the screening phase of Burn-In by running in parallel different types of stress procedures. In previous works, stress procedures of CPU, RAM memory and FLASH memory have been interleaved using DMA and leveraging on instruction CACHE memory. This paper presents a novel approach for optimizing stress procedures at CPU level using an Evolutionary Algorithm. The evolutionary-based framework improves the stress of the CPU procedure when it runs in presence of a parallel stress schema. The manuscript also reports the results gathered by exploiting the evolutionary strategy in a device used in common automotive systems.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2698575
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