All-Photonic in-Memory Computing Based on Phase-Change Materials
Carlos Ríos, Nathan Youngblood, et al.
CLEO 2019
Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
Carlos Ríos, Nathan Youngblood, et al.
CLEO 2019
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IRPS 2015
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SISPAD 2015
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