86 citations · 88 across the 5 of their papers we have counts for
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cs.DC2023★ 1 cited
Performance/power assessment of CNN packages on embedded automotive platforms
Paolo Burgio, Gianluca Brilli
The rise of power-efficient embedded computers based on highly-parallel accelerators opens a number of opportunities and challenges for researchers and engineers, and paved the way…
cs.DC2023
Interference analysis of shared last-level cache on embedded GP-GPUs with multiple CUDA streams
Gianluca Brilli, Paolo Burgio
In modern heterogeneous architectures, the access to data that the application needs is a key factor, in order to make the compute task efficient, in terms of power dissipation and…
cs.DC2023
Enabling predictable parallelism in single-GPU systems with persistent CUDA threads
Paolo Burgio
Graphics Processing Unit, or GPUs, have been successfully adopted both for graphic computation in 3D applications, and for general purpose application (GP-GPUs), thank to their tre…