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ORCIDAlexandre Levisse
- > Home > Persons > Alexandre Levisse
Publications
- 2024
[j12]Pengbo Yu
, Flavio Ponzina, Alexandre Levisse, Mohit Gupta, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor:
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 1018-1031 (2024)- [c26]Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor:
DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD. ISVLSI 2024: 204-209 - 2023
- [j11]Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza:
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(2): 489-501 (2023) - [j8]Flavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Overflow-free Compute Memories for Edge AI Acceleration. ACM Trans. Embed. Comput. Syst. 22(5s): 121:1-121:23 (2023) - [j7]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. IEEE Trans. Emerg. Top. Comput. 11(2): 358-372 (2023) - 2022
- [j5]Flavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón-Quirós, David Atienza:
A Hardware/Software Co-Design Vision for Deep Learning at the Edge. IEEE Micro 42(6): 48-54 (2022) - [c24]Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge. ACM Great Lakes Symposium on VLSI 2022: 249-254 - [i3]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. CoRR abs/2209.06108 (2022) - 2021
- [c21]Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing. DATE 2021: 1881-1886 - [c20]Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs. ISVLSI 2021: 164-169
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