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Arne Symons
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2020 – today
- 2024
- [c8]Steven Colleman, Arne Symons
, Victor J. B. Jung, Marian Verhelst
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms. ISQED 2024: 1-6 - [c7]Robin Geens, Man Shi, Arne Symons, Chao Fang, Marian Verhelst:
Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators. SOCC 2024: 1-6 - [i5]Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst:
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms. CoRR abs/2406.09804 (2024) - [i4]Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello:
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. CoRR abs/2410.08855 (2024) - 2023
- [c6]Victor J. B. Jung, Arne Symons
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. AICAS 2023: 1-5 - [c5]Lotte Hendrickx, Arne Symons
Hardware-aware NAS by Genetic Optimisation with a Design Space Exploration Simulator. CVPR Workshops 2023: 2275-2283 - [c4]Sebastian Karl, Arne Symons
Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems. DATE 2023: 1-6 - [c3]Linyan Mei, Koen Goetschalckx, Arne Symons
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. HPCA 2023: 570-583 - [c2]Arne Symons
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. ISPASS 2023: 355-357 - [i3]Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini:
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. CoRR abs/2304.12931 (2023) - 2022
- [d1]Linyan Mei
DeFiNES: A DSE Framework Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators. Zenodo, 2022 - [i2]Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst:
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. CoRR abs/2212.05344 (2022) - [i1]Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst:
Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks. CoRR abs/2212.10612 (2022) - 2021
- [c1]Arne Symons
LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation. AICAS 2021: 1-4
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