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Oliver Bringmann

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Open access Aug 2026

Autotuned Distribution of Multi-DNN Workloads on Multi-Accelerator SoCs

This work proposes a method to distribute the execution of individual layers across accelerators, and demonstrates how to implement such a baseline system using a SoC generator framework, performs an ablation study prototyping different versions on an FPGA, and identifies gaps and limitations by executing a multi-DNN a...

Federico Nicolás Peccia, Avik Bhatnagar, Oliver Bringmann · 0 citations
#artificial intelligence Conference Open access Sep 2026

TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning

This paper introduces a novel technique for on-device model training that incorporates an efficient Bayesian optimization-based batch size tuning approach to maximize hardware throughput and demonstrates that optimal batch sizes maintain the stability-plasticity balance required for incremental learning.

Avik Bhatnagar, Federico Nicolás Peccia, Oliver Bringmann · 0 citations

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