LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation. - Arne Symons; Linyan Mei; Marian Verhelst (AICAS, 2021)

Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks. - Arne Symons; Linyan Mei; Steven Colleman; Pouya Houshmand; Sebastian Karl; Marian Verhelst (CoRR, 2022)

DeFiNES: A DSE Framework Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators. - Linyan Mei; Koen Goetschalckx; Arne Symons; Marian Verhelst (Zenodo, 2022)

SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. - Victor J. B. Jung; Arne Symons; Linyan Mei; Marian Verhelst; Luca Benini (AICAS, 2023)

Hardware-aware NAS by Genetic Optimisation with a Design Space Exploration Simulator. - Lotte Hendrickx; Arne Symons; Wiebe Van Ranst; Marian Verhelst; Toon Goedemé (CVPR Workshops, 2023)

Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems. - Sebastian Karl; Arne Symons; Nael Fasfous; Marian Verhelst (DATE, 2023)

DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. - Linyan Mei; Koen Goetschalckx; Arne Symons; Marian Verhelst (HPCA, 2023)

Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. - Arne Symons; Linyan Mei; Steven Colleman; Pouya Houshmand; Sebastian Karl; Marian Verhelst (ISPASS, 2023)

Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms. - Steven Colleman; Arne Symons; Victor J. B. Jung; Marian Verhelst (ISQED, 2024)

Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators. - Robin Geens; Man Shi; Arne Symons; Chao Fang; Marian Verhelst (SOCC, 2024)

MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. - Mohamed Amine Hamdi; Francesco Daghero; Giuseppe Maria Sarda; Josse Van Delm; Arne Symons; Luca Benini; Marian Verhelst; Daniele Jahier Pagliari; Alessio Burrello (CoRR, 2024)

A 3D Design Methodology for Integrated Wearable SoCs: Enabling Energy Efficiency and Enhanced Performance at Iso-Area Footprint. - Huseyin Ekin Sumbul; Arne Symons; Lita Yang; Huichu Liu; Tony F. Wu; Matheus Trevisan Moreira; Debabrata Mohapatra; Abhinav Agarwal; Kaushik Ravindran; Chris Thompson; Yuecheng Li; Edith Beigné (DATE, 2025)

Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. - Chao Fang; Man Shi; Robin Geens; Arne Symons; Zhongfeng Wang; Marian Verhelst (HPCA, 2025)

Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators. - Arne Symons; Linyan Mei; Steven Colleman; Pouya Houshmand; Sebastian Karl; Marian Verhelst (IEEE Trans. Computers, 2025)

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration. - Robin Geens; Arne Symons; Marian Verhelst (CoRR, 2025)