296 citations · 477 across the 8 of their papers we have counts for
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cs.DC2019
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading
Mario Almeida, Liang Wang, Jeremy Blackburn +2
Motivated by the huge disparity between the limited battery capacity of user devices and the ever-growing energy demands of modern mobile apps, we propose INFv. It is the first off…
cs.LG2019★ 75 cited
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Mario Almeida, Stefanos Laskaridis, Ilias Leontiadis +2
In recent years, advances in deep learning have resulted in unprecedented leaps in diverse tasks spanning from speech and object recognition to context awareness and health monitor…