Time-Dependent Electromigration Modeling for Workload-Aware Design-Space Exploration in STT-MRAM

Mayahinia, Mahta; Tahoori, Mehdi; Komalan, Manu Perumkunnil; Zahedmanesh, Houman; Croes, Kristof; Marinelli, Tommaso; Gómez Pérez, José Ignacio; Evenblij, Timon; Kar, Gouri Sankar; Catthoor, Francky

Time-Dependent Electromigration Modeling for Workload-Aware Design-Space Exploration in STT-MRAM

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Publication date

2022

Authors

Mayahinia, Mahta

Tahoori, Mehdi

Komalan, Manu Perumkunnil

Zahedmanesh, Houman

Croes, Kristof

Marinelli, Tommaso

Gómez Pérez, José Ignacio

Evenblij, Timon

Kar, Gouri Sankar

Catthoor, Francky

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URI

https://hdl.handle.net/20.500.14352/97882

Abstract

Electromigration (EM) has been known as a reliability threatening factor for back-end-of-the-line interconnects. Spin Transfer Torque Magnetic RAM (STT-MRAM) is an emerging non-volatile memory that has gained a lot of attention in recent years. However, relatively large operational current magnitude is a challenge for this technology, and hence, EM can be a potential reliability concern, even for the signal lines of this memory. A workload-aware EM modeling needs to capture time-dependent current density in the memory signal lines, and to be able to predict the effect of the EM phenomenon on the interconnect for its entire lifetime. In this work, we present methods to effectively model the workload-dependent EM-induced mean time to failure (MTTF) in typical STT-MRAM arrays under a variety of realistic workloads. This allows performing the design space exploration to co-optimize reliability and other design metrics.