Ioannis A. Papistas

DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC

Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand et al. · 2022 IEEE International Solid- State Circuits Conference (ISSCC) · 2022 · 77 citations

Nn Accelerators, Engineering, Energy Efficiency +21

SOT-MRAM Based Analog in-Memory Computing for DNN Inference

Jonas Doevenspeck, Kévin Garello, Bram-Ernst Verhoef et al. · 2020 · 71 citations · Full text

Non-volatile Memory, Convolutional Neural Network, Weight Memory +11

Towards 10000TOPS/W DNN Inference with Analog in-Memory Computing – A Circuit Blueprint, Device Options and Requirements

Stefan Cosemans, Bram-Ernst Verhoef, Jonas Doevenspeck et al. · 2019 · 57 citations

Engineering, Analog Design, Computer Architecture +19

DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge

Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain et al. · IEEE Journal of Solid-State Circuits · 2022 · 55 citations

A 22 nm, 1540 TOP/s/W, 12.1 TOP/s/mm² in-Memory Analog Matrix-Vector-Multiplier for DNN Acceleration

Ioannis A. Papistas, Stefan Cosemans, Bram Rooseleer et al. · 2021 · 39 citations

Electrical Engineering, Engineering, Machine Learning +14