A failure analysis framework of ReRAM In-Memory Logic operations
IEEE International Test Conference in Asia (ITC-Asia), pp. 67–72
Abstract
Computation-in-Memory (CiM) with emerging non-volatile memories leads to significant performance and energy efficiency, which is a promising approach to address so-called memory wall of conventional von Neumann architectures. Redox-based Random access memory (ReRAM) is an appropriate candidate for the realization of CiM concepts in CMOS co-integrated crossbar structures. However, ReRAM devices suffer from inherent variability in fabrication and operation. In this paper, we propose a statistical failure probability framework for the reliability evaluation of ReRAM-based CiM. Based on this, a comprehensive reliability analysis is performed for logic operations in ReRAM-based Scouting and MAGIC concepts at the crossbar level. Our proposed framework shows that existing logic operation in the crossbar architecture has a high failure probability due to the variability and crossbar non-idealities. Hence, a modified crossbar design is proposed to achieve the target reliability requirements.
Authors 8
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Affiliation as printed
Institut für Werkstoffe der Elektrotechnik II RWTH Aachen,Aachen,Germany
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Karlsruhe Institute of Technology
Affiliation as printed
KIT,Department of Computer Science,Karlsruhe,Germany
Department of Computer Science, KIT, Karlsruhe, Germany
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Affiliation as printed
Institut für Werkstoffe der Elektrotechnik II RWTH Aachen,Aachen,Germany
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Karlsruhe Institute of Technology
Affiliation as printed
KIT,Department of Computer Science,Karlsruhe,Germany
Department of Computer Science, KIT, Karlsruhe, Germany
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Affiliation as printed
Institut für Werkstoffe der Elektrotechnik II RWTH Aachen,Aachen,Germany
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Affiliation as printed
Institut für Werkstoffe der Elektrotechnik II RWTH Aachen,Aachen,Germany
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Affiliation as printed
Peter Grünberg Institut (PGI-7) Forschungszentrum Jülich,Jülich,Germany
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Karlsruhe Institute of Technology
Affiliation as printed
KIT,Department of Computer Science,Karlsruhe,Germany
Department of Computer Science, KIT, Karlsruhe, Germany
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