Idempotence-based preemptive gpu kernel scheduling for embedded systems

H Lee, H Kim, C Kim, H Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mission-critical embedded systems simultaneously run multiple graphics-processing-unit
(GPU) computing tasks with different criticality and timeliness requirements. Considerable …

Towards scheduling hard real-time image processing tasks on a single GPU

V Golyanik, M Nasri, D Stricker - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Graphics Processing Units (GPU) are becoming the key hardware accelerators in the
emerging image processing applications such as self-driving cars and mobile augmented …

Hardware accelerator IP cores for real time Radar and camera-based ADAS

S Saponara - Journal of Real-Time Image Processing, 2019 - Springer
The paper presents the design of HDL macrocells, working as hardware accelerators to
achieve real time processing of some key functions of Advanced Driver Assistance Systems …

CARSS: Client-aware resource sharing and scheduling for heterogeneous applications

I Baek, M Harding, A Kanda, KR Choi… - 2020 IEEE Real …, 2020 - ieeexplore.ieee.org
Modern hardware accelerators such as GP-GPUs and DSPs are commonly being used in
real-time settings such as high-performance multimedia systems and autonomous vehicles …

A GPU kernel transactionization scheme for preemptive priority scheduling

H Lee, J Roh, E Seo - 2018 IEEE Real-Time and Embedded …, 2018 - ieeexplore.ieee.org
Mission-critical embedded systems are becoming heavily dependent on graphics
processing unit (GPU) computing. In general, such systems simultaneously run multiple …

A clustering allocation and scheduling analysis approach for multiprocessor dependent real-time tasks

F Mrabet, W Karamti… - International Journal of …, 2022 - inderscienceonline.com
The ultimate objective in this paper is to propose a new method for dependent tasks
clustering by considering the inter-tasks communication cost, the inter-clusters …

Dynamic schedule management framework for aperiodic soft-real-time jobs on GPU based architectures

KN Gowda, H Ramaprasad - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The Graphics Processing Unit (GPU) was originally designed for the rapid creation and
manipulation of images. Since then, it has evolved from being just an application-specific …

Fault-tolerant Real-Time Perception for Self-Driving Vehicles

I Baek - 2021 - search.proquest.com
Emerging automated vehicle (AV) systems are increasingly deploying various types of
perception applications to satisfy the requirements of safety and convenience. Platform cost …

Image feature extraction acceleration

J Fernández-Berni, M Suárez… - Image Feature Detectors …, 2016 - Springer
Image feature extraction is instrumental for most of the best-performing algorithms in
computer vision. However, it is also expensive in terms of computational and memory …

A Dynamic Protection Mechanism for GPU Memory Overflow

Y Yang, X Wang, S Peng - IFIP International Conference on Network and …, 2020 - Springer
Abstract Graphics Processing Units (GPU) are widely used to accelerate computation in
many applications such as autonomous vehicles, artificial intelligence and healthcare …