Jens Sparsø

Jens Sparsø

Danmarks Tekniske Universitet

H-index: 31

Europe-Denmark

About Jens Sparsø

Jens Sparsø, With an exceptional h-index of 31 and a recent h-index of 18 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Digital systems, Asynchronous circuits, Low-power design, Networks-on-Chip, Many-core architecture.

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

Towards a tailored mixed-precision sub-8bit quantization scheme for Gated Recurrent Units using Genetic Algorithms

PeakEngine: A Deterministic On-the-Fly Pruning Neural Network Accelerator for Hearing Instruments

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting

Asynchronous circuit design in Chisel using phase-decoupled Click Elements

A Min-Heap-Based Accelerator for Deterministic On-the-Fly Pruning in Neural Networks

Comparing timed-division multiplexing and best-effort networks-on-chip

Evaluating a time-triggered runtime system by distributing a flight controller

PeakRNN and StatsRNN: Dynamic pruning in recurrent neural networks

Jens Sparsø Information

University

Position

Professor

Citations(all)

5571

Citations(since 2020)

1046

Cited By

4952

hIndex(all)

31

hIndex(since 2020)

18

i10Index(all)

56

i10Index(since 2020)

26

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Jens Sparsø Skills & Research Interests

Digital systems

Asynchronous circuits

Low-power design

Networks-on-Chip

Many-core architecture

Top articles of Jens Sparsø

Title

Journal

Author(s)

Publication Date

Towards a tailored mixed-precision sub-8bit quantization scheme for Gated Recurrent Units using Genetic Algorithms

arXiv preprint arXiv:2402.12263

Riccardo Miccini

Alessandro Cerioli

Clément Laroche

Tobias Piechowiak

Jens Sparsø

...

2024/2/19

PeakEngine: A Deterministic On-the-Fly Pruning Neural Network Accelerator for Hearing Instruments

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Zuzana Jelčicová

Evangelia Kasapaki

Oskar Andersson

Jens Sparso

2023/10/4

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting

Riccardo Miccini

Alaa Zniber

Clément Laroche

Tobias Piechowiak

Martin Schoeberl

...

2023/9/17

Asynchronous circuit design in Chisel using phase-decoupled Click Elements

Kasper Hesse

Tjark Petersen

Jens Sparsø

2023/9/6

A Min-Heap-Based Accelerator for Deterministic On-the-Fly Pruning in Neural Networks

Zuzana Jelčicová

Evangelia Kasapaki

Oskar Andersson

Jens SparsØ

2023/5/21

Comparing timed-division multiplexing and best-effort networks-on-chip

Journal of Systems Architecture

Jens Sparsø

Hans Jakob Damsgaard

Dimitrios Katsamanis

Martin Schoeberl

2022/12/1

Evaluating a time-triggered runtime system by distributing a flight controller

Eleftherios Kyriakakis

Jens Sparsø

Martin Schoeberl

2021/9/7

PeakRNN and StatsRNN: Dynamic pruning in recurrent neural networks

Zuzana Jelčicová

Rasmus Jones

David Thorn Blix

Marian Verhelst

Jens Sparseø

2021/8/23

Synchronizing real-time tasks in time-triggered networks

Eleftherios Kyriakakis

Jens Sparsø

Peter Puschner

Martin Schoeberl

2021/6/1

A time-predictable open-source TTEthernet end-system

Journal of Systems Architecture

Eleftherios Kyriakakis

Maja Lund

Luca Pezzarossa

Jens Sparsø

Martin Schoeberl

2020/9/1

Introduction to Asynchronous Circuit Design.

Jens Sparsø

2020

A Neural Network Engine for Resource Constrained Embedded Systems

Zuzana Jelčicová

Adrian Mardari

Oskar Andersson

Evangelia Kasapaki

Jens Sparsø

2020/11/1

Synchronizing real-time tasks in time-aware networks: Work-in-progress

Eleftherios Kyriakakis

Jens Sparsø

Peter Puschner

Martin Schoeberl

2020/9/20

See List of Professors in Jens Sparsø University(Danmarks Tekniske Universitet)