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2020 – today
- 2024
[c6]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- [i4]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) - [i3]Steven Colleman, Man Shi, Marian Verhelst:
COAC: Cross-layer Optimization of Accelerator Configurability for Efficient CNN Processing. CoRR abs/2406.13752 (2024) - [i2]Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst:
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories. CoRR abs/2406.14574 (2024) - 2023
- [j2]Steven Colleman, Man Shi, Marian Verhelst:
COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 945-958 (2023) - [c5]Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst:
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. ISPASS 2023: 355-357 - [c4]Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst:
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories. ISQED 2023: 1-8 - 2022
- [c3]Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst:
Optimizing Accelerator Configurability for Mobile Transformer Networks. AICAS 2022: 142-145 - [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
- [j1]Steven Colleman, Marian Verhelst:
High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA. IEEE Trans. Very Large Scale Integr. Syst. 29(3): 461-471 (2021) - [c2]Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst:
Processor Architecture Optimization for Spatially Dynamic Neural Networks. VLSI-SoC 2021: 1-6
2010 – 2019
- 2017
- [c1]Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel:
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. BrainLes@MICCAI 2017: 463-473
Coauthor Index
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