In this paper, we present a solution to the industrial challenge put for...
In this work, we present a novel scheduling framework enabling anytime
p...
Running deep neural networks (DNNs) on tiny Micro-controller Units (MCUs...
In this paper, we identify that memory performance plays a crucial role ...
Transient execution attacks,such as Spectre and Meltdown, utilize
micro-...
We propose a virtual-gang based parallel real-time task scheduling appro...
NVDLA is an open-source deep neural network (DNN) accelerator which has
...
In this paper we investigate the feasibility of denial-of-service (DoS)
...
In this paper, we present RT-Gang: a novel real-time gang scheduling
fra...
Integrated CPU-GPU architecture provides excellent acceleration capabili...
Integrated CPU-GPU architecture provides excellent acceleration capabili...
We present DeepPicar, a low-cost deep neural network based autonomous ca...
Poor timing predictability of multicore processors has been a long-stand...
Poor timing predictability of multicore processors has been a long-stand...
Soft real-time applications such as multimedia applications often show b...
Race condition is a timing sensitive problem. A significant source of ti...