( en | de | ru )

 

Disambiguation of "Levisse, Alexandre"

Author of the publication

copydeleteadd this publication to your clipboard
Capacitor based SneakPath compensation circuit for transistor-less ReRAM architectures.

, , , , and . NANOARCH, page 7-12. ACM, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alexandre Darmoise

Alexandre Varnek

Alexandre Martins

Alexandre Alexeev

Alexandre Gumberidze

 

Other publications of authors with the same name

Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters., , , , , and . ISVLSI, page 18-23. IEEE, (2020)Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems., , , and . ICASSP, page 1549-1552. IEEE, (2020)SneakPath compensation circuit for programming and read operations in RRAM-based CrossPoint architectures., , , , and . NVMTS, page 1-4. IEEE, (2015)RRAMSpec: A Design Space Exploration Framework for High Density Resistive RAM., , , , , , , and . SAMOS, volume 11733 of Lecture Notes in Computer Science, page 34-47. Springer, (2019)Functionality Enhanced Memories for Edge-AI Embedded Systems., , , , and . NVMTS, page 1-4. IEEE, (2019)A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs., , , , and . ISVLSI, page 164-169. IEEE, (2021)A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance., , , and . VLSI-SOC, page 94-99. IEEE, (2020)BLADE: A BitLine Accelerator for Devices on the Edge., , , , and . ACM Great Lakes Symposium on VLSI, page 207-212. ACM, (2019)Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge., , , , and . ACM Great Lakes Symposium on VLSI, page 249-254. ACM, (2022)Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference., , , , and . CoRR, (2022)