Victor J. B. Jung

17 papers A 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge.
CoRR
Run Wang, Victor J. B. Jung, Philip Wiese, Francesco Conti, Alessio Burrello, Luca Benini
2025 — conf
A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-Core RV Clusters for Attention-Based Model Deployment.
ASAP
Bowen Wang, Marco Bertuletti, Yichao Zhang, Victor J. B. Jung, Luca Benini
2025 J jnl
A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment.
CoRR
Bowen Wang, Marco Bertuletti, Yichao Zhang, Victor J. B. Jung, Luca Benini
2025 A conf
Distributed Inference with Minimal Off-Chip Traffic for Transformers on Low-Power MCUs.
DATE
Severin Bochem, Victor J. B. Jung, Arpan Suravi Prasad, Francesco Conti, Luca Benini
2025 J jnl
Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches.
CoRR
Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini
2024 J jnl
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers.
CoRR
Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini
2024 J jnl
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini
2024 J jnl
Distributed Inference with Minimal Off-Chip Traffic for Transformers on Low-Power MCUs.
CoRR
Severin Bochem, Victor J. B. Jung, Arpan Suravi Prasad, Francesco Conti, Luca Benini
2024 — conf
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.
ISQED
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
2024 J jnl
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms.
CoRR
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
2024 J jnl
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs.
CoRR
Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini
2024 J jnl
Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs.
IEEE Trans. Biomed. Circuits Syst.
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Victor J. B. Jung, Moritz Scherer, Matteo Antonio Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini
2024 J jnl
Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow.
CoRR
Philip Wiese, Gamze Islamoglu, Moritz Scherer, Luka Macan, Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini
2023 A conf
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.
ISLPED
Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini
2023 J jnl
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.
CoRR
Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini
2023 — conf
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators.
AICAS
Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini
2023 J jnl
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators.
CoRR
Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini