Alexandre Levisse

About Alexandre Levisse

Alexandre Levisse, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne,

His recent articles reflect a diverse array of research interests and contributions to the field:

An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs

HEEPocrates: An Ultra-Low-Power RISC-V Microcontroller for Edge-Computing Healthcare Applications

Overflow-free compute memories for edge AI acceleration

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

Bit-line computing for CNN accelerators co-design in edge AI inference

A Soft SIMD Based Energy Efficient Computing Microarchitecture

Alpine: Analog in-memory acceleration with tight processor integration for deep learning

Graphene-based wireless agile interconnects for massive heterogeneous multi-chip processors

Alexandre Levisse Information

University

Position

___

Citations(all)

501

Citations(since 2020)

431

Cited By

190

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Top articles of Alexandre Levisse

An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs

IEEE Transactions on Very Large Scale Integration Systems

2024/3/5

HEEPocrates: An Ultra-Low-Power RISC-V Microcontroller for Edge-Computing Healthcare Applications

2024/3/10

Overflow-free compute memories for edge AI acceleration

ACM Transactions on Embedded Computing Systems

2023/9/9

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

2023/4/24

Bit-line computing for CNN accelerators co-design in edge AI inference

IEEE Transactions on Emerging Topics in Computing

2023/1/23

A Soft SIMD Based Energy Efficient Computing Microarchitecture

arXiv preprint arXiv:2212.09358

2022/12/19

Alpine: Analog in-memory acceleration with tight processor integration for deep learning

IEEE Transactions on Computers

2022/12/19

Graphene-based wireless agile interconnects for massive heterogeneous multi-chip processors

IEEE Wireless Communications

2022/8/9

A hardware/software co-design vision for deep learning at the edge

IEEE Micro

2022/8/1

Error resilient in-memory computing architecture for cnn inference on the edge

2022/6/6

Thermal and power-aware run-time performance management of 3d mpsocs with integrated flow cell arrays

2022/6/6

Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022/4/19

Associativity-agnostic in-cache computing memory architecture optimized for multiplication

2021/12/28

Modelling of vertical and ferroelectric junctionless technology for efficient 3D neural network compute cube dedicated to embedded artificial intelligence

2021/12/11

Exact neural networks from inexact multipliers via fibonacci weight encoding

2021/12/5

Why neuromorphic computing need novel 3D technologies? A view from FVLLMONTI European project consortium

2021/10/25

Memory chip or memory array for wide-voltage range in-memory computing using bitline technology

2021/8/17

A flexible in-memory computing architecture for heterogeneously quantized CNNs

2021/7/7

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH)

2021/5/11

How novel technologies can boost neuromorphic computing? A view from European project consortia

Workshop NEUROTECH

2021/4/26

See List of Professors in Alexandre Levisse University(École Polytechnique Fédérale de Lausanne)

Co-Authors

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