GPU virtualization and scheduling methods: A comprehensive survey
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …
established a new accelerator-based heterogeneous computing model, which now …
GPU scheduling on the NVIDIA TX2: Hidden details revealed
The push towards fielding autonomous-driving capabilities in vehicles is happening at
breakneck speed. Semi-autonomous features are becoming increasingly common, and fully …
breakneck speed. Semi-autonomous features are becoming increasingly common, and fully …
An evaluation of the NVIDIA TX1 for supporting real-time computer-vision workloads
Autonomous vehicles are an exemplar for forward-looking safety-critical real-time systems
where significant computing capacity must be provided within strict size, weight, and power …
where significant computing capacity must be provided within strict size, weight, and power …
S^ 3dnn: Supervised streaming and scheduling for gpu-accelerated real-time dnn workloads
Deep Neural Networks (DNNs) are being widely applied in many advanced embedded
systems that require autonomous decision making, eg, autonomous driving and robotics. To …
systems that require autonomous decision making, eg, autonomous driving and robotics. To …
[PDF][PDF] Avoiding pitfalls when using NVIDIA GPUs for real-time tasks in autonomous systems
M Yang - Proceedings of the 30th Euromicro Conference on …, 2018 - par.nsf.gov
A fundamental shift is reshaping how real-time analysis is applied in all forms of
autonomous 45 systems (eg, UAVs, robotics, and, especially, self-driving automobiles) …
autonomous 45 systems (eg, UAVs, robotics, and, especially, self-driving automobiles) …
Effisha: A software framework for enabling effficient preemptive scheduling of gpu
Modern GPUs are broadly adopted in many multitasking environments, including data
centers and smartphones. However, the current support for the scheduling of multiple GPU …
centers and smartphones. However, the current support for the scheduling of multiple GPU …
Co-optimizing performance and memory footprint via integrated cpu/gpu memory management, an implementation on autonomous driving platform
Cutting-edge embedded system applications, such as self-driving cars and unmanned
drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven …
drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven …
Flep: Enabling flexible and efficient preemption on gpus
GPUs are widely adopted in HPC and cloud computing platforms to accelerate general-
purpose workloads. However, modern GPUs do not support flexible preemption, leading to …
purpose workloads. However, modern GPUs do not support flexible preemption, leading to …
Secure and timely gpu execution in cyber-physical systems
Graphics Processing Units (GPU) are increasingly deployed on Cyber-physical Systems
(CPSs), frequently used to perform real-time safety-critical functions, such as object …
(CPSs), frequently used to perform real-time safety-critical functions, such as object …
AMD GPUs as an alternative to NVIDIA for supporting real-time workloads
N Otterness, JH Anderson - … on real-time systems (ECRTS 2020), 2020 - drops.dagstuhl.de
Graphics processing units (GPUs) manufactured by NVIDIA continue to dominate many
fields of research, including real-time GPU-management. NVIDIA's status as a key enabling …
fields of research, including real-time GPU-management. NVIDIA's status as a key enabling …