You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Scavenging Run-time Resources to Boost Utilization in Component-based Embedded Systems with GPUs

Fulltext:


Publication Type:

Journal article

Venue:

International Journal on Advances in Software


Abstract

Many modern embedded systems with GPUs are required to process huge amount of data that is sensed from their environment. However, due to some inherent properties of these systems such as limited energy, computation and storage resources, it is important that the resources should be used in an efficient way. For example, camera sensors of a robot may provide low-resolution frames for positioning itself in an open environment and high-resolution frames to analyze detected objects. In this paper, we introduce a method that, when possible, scavenges the unused resources (i.e., memory and number of GPU computation threads) from the critical functionality and distributes them to the non-critical functionality. As a result, the overall system performance is improved without compromising the critical functionality. The method uses a monitoring solution that checks the utilization of the system resources and triggers their distribution to the non-critical functionality whenever possible. As a proof of concept, we realize the proposed method in a state-of-the-practice component model for embedded systems. As an evaluation, we use an underwater robot case study to evaluate the feasibility of the proposed solution.

Bibtex

@article{Campeanu5142,
author = {Gabriel Campeanu and Saad Mubeen},
title = {Scavenging Run-time Resources to Boost Utilization in Component-based Embedded Systems with GPUs},
volume = {11},
number = {1{\&}2},
pages = {159--169},
month = {June},
year = {2018},
journal = {International Journal on Advances in Software},
url = {http://www.es.mdh.se/publications/5142-}
}