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Author

Alessandro Capotondi

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Book Open access Sep 2026

In-Copy Fusion: Runtime Argument Fusion for Efficient OpenMP GPU Offloading

In-Copy Fusion (ICF), a runtime optimization of OpenMP’s accelerator model, implemented in LLVM, that gathers eligible map clauses into staging buffers, orchestrating an optimal transfer pipeline through fusion without modifying application or kernel code, preserves OpenMP semantics with negligible overhead is presente...

Dionisis-Odysseas Sotiropoulos, Sara Royuela Alcázar, Eduardo Quiñones et al. · 0 citations
Book Open access Sep 2026

In-Copy Fusion: Runtime Argument Fusion for Efficient OpenMP GPU Offloading

In modern GPU-based non-unified heterogeneous systems, CPU-GPU communication happens via the PCI bus. Data transfers are affected by startup overhead, which underutilizes the PCI channel bandwidth for small transfers. Modern programming models, such as CUDA and OpenMP, treat each input argument to a compute kernel inde...

Dionisis-Odysseas Sotiropoulos, Sara Royuela Alcázar, Eduardo Quiñones et al. · 0 citations
Jul 2026

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator

A heterogeneous adaptation pipeline that repurposes a commercial edge AI inference accelerator, Hailo-8L, for frozen-backbone feature extraction during on-device training, and post-training quantization restoration is shown to be crucial for preserving the quality of accelerator-generated features and mitigating accura...

M. Piechocki, Alessandro Capotondi, Marek Kraft · 1 citation

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