Stochastic weight updates in phase-change memory-based synapses and their influence on artificial neural networksIrem BoybatManuel Le Galloet al.2017PRIME 2017
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codesTimoleon MoraitisAbu Sebastianet al.2017IJCNN 2017
The complete time/temperature dependence of I-V drift in PCM devicesManuel Le GalloAbu Sebastianet al.2016IRPS 2016
A finite-element thermoelectric model for phase-change memory devicesA. AthmanathanDaniel Krebset al.2015SISPAD 2015
A collective relaxation model for resistance drift in phase change memory cellsAbu SebastianDaniel Krebset al.2015IRPS 2015
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memoryManuel Le Gallo2024CIMTEC 2024
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memoryManuel Le Gallo2023E\PCOS 2023
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memoryManuel Le Gallo2023NVMTS 2023
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2024IPDPS 2024