Search
Publication Authors

Prof. Dr. Didier Stricker

Dr. Alain Pagani

Dr. Gerd Reis

Eric Thil

Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Muhammad Zeshan Afzal

Dr. Gabriele Bleser
Dr. Bruno Mirbach

Dr. Jason Raphael Rambach

Dr. Nadia Robertini

Dr. Bertram Taetz

Ahmed Aboukhadra

Sk Aziz Ali

Mhd Rashed Al Koutayni

Murad Almadani
Alaa Alshubbak

Yuriy Anisimov

Jilliam Maria Diaz Barros

Ramy Battrawy
Iuliia Brishtel
Hammad Butt

Mahdi Chamseddine

Steve Dias da Cruz

Fangwen Shu

Torben Fetzer

Ahmet Firintepe
Sophie Folawiyo

David Michael Fürst
Kamalveerkaur Garewal

Christiano Couto Gava

Tewodros Amberbir Habtegebrial
Simon Häring

Khurram Azeem Hashmi
Henri Hoyez

Jigyasa Singh Katrolia

Andreas Kölsch
Onorina Kovalenko

Stephan Krauß
Paul Lesur

Muhammad Jameel Nawaz Malik

Michael Lorenz

Markus Miezal

Mina Ameli

Nareg Minaskan Karabid

Mohammad Minouei

Pramod Murthy

Mathias Musahl

Peter Neigel

Manthan Pancholi
Mariia Podguzova

Praveen Nathan
Qinzhuan Qian
Rishav
Marcel Rogge
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar

Alexander Schäfer

Pascal Schneider

Dr. René Schuster

Mohamed Selim

Tahira Shehzadi
Lukas Stefan Staecker

Yongzhi Su

Xiaoying Tan
Christian Witte

Yaxu Xie

Vemburaj Yadav

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Publication Archive
New title
- ActivityPlus
- AlterEgo
- AR-Handbook
- ARVIDA
- Auroras
- AVILUSplus
- Be-greifen
- Body Analyzer
- CAPTURE
- COGNITO
- DAKARA
- Density
- DYNAMICS
- EASY-IMP
- Eyes Of Things
- iACT
- IMCVO
- IVMT
- LARA
- LiSA
- Marmorbild
- Micro-Dress
- Odysseus Studio
- On Eye
- OrcaM
- PAMAP
- PROWILAN
- ServiceFactory
- STREET3D
- SUDPLAN
- SwarmTrack
- TuBUs-Pro
- VIDETE
- VIDP
- VisIMon
- VISTRA
- You in 3D
Towards Scheduling Hard Real-Time Image Processing Tasks on a Single GPU
Towards Scheduling Hard Real-Time Image Processing Tasks on a Single GPU
Vladislav Golyanik, Mitra Nasri, Didier Stricker
International Conference on Image Processing IEEE International Conference on Image Processing (ICIP-17), September 17-20, Beijing, China
- Abstract:
- Graphics Processing Units (GPU) are becoming the key hardware accelerators in the emerging image processing applications such as self-driving cars and mobile augmented reality systems. As GPUs execute launched workloads non-preemptively, their usage in safety-critical systems with hard real-time constraints is impeded. The existing solutions for scheduling real-time tasks on a single GPU focus on soft real-time systems. In this paper, we consider real-time systems with a single dedicated GPU handling sporadic tasks with hard deadlines and propose a scheduling approach based on time division multiplexing called the GPU-TDMh — a lightweight middleware framework located between the application and the GPU driver layers. We evaluate the proposed approach on a matrix multiplication benchmark on a heterogeneous platform. The experiments demonstrate the effectiveness of our method as well as superiority over the non-preemptive online scheduling policies.
- Keywords:
- Graphics Processing Units, Parallel Pro- cessing, Real-time, Scheduling, Time Division Multiplexing