Journal article
Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems
IEEE transactions on parallel and distributed systems, v 27(3), pp 869-884
01 Mar 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Lifetime reliability is an emerging concern in multiprocessor systems as escalating power density and hence temperature variation continues to accelerate wear-out leading to a growing prominence of device defects. In this paper, we propose a system-level approach that involves performance-aware mapping of multimedia applications on a multiprocessor system to jointly minimize energy consumption and temperature related wear-out. Fundamental to this approach is a simplified temperature model that incorporates not only the transient and the steady-state behavior (temporal effect), but also the temperature dependency on the surrounding cores (spatial effect). This model is validated against the temperature obtained using theHotSpot tool with transient and steady-state simulations, and is shown to be accurate within 5.5 degrees C, leading to an MTTF estimation accuracy of an average 21 percent with respect to the state-of-the-art approaches. The proposed temperature model is integrated in a gradient-based fast heuristic that controls the voltage and frequency of the cores to limit the average and peak temperature leading to a longer lifetime, simultaneously minimizing the energy consumption. Lifetime computation considers task remapping, which is a common feature available in modern multiprocessor systems. A linear programming approach is then proposed to distribute the cores of a multiprocessor system among concurrent applications to maximize the lifetime. Experiments conducted with a set of synthetic and real-life applications represented as synchronous data flow graphs demonstrate that the proposed approach minimizes energy consumption by an average 24 percent with 47 percent increase in lifetime. For concurrent applications, the proposed lifetime-aware core distribution results in an average 10 percent improvement in lifetime as compared to performance-based core distribution.
Metrics
Details
- Title
- Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems
- Creators
- Anup Das - University of SouthamptonAkash Kumar - National University of SingaporeBharadwaj Veeravalli - National University of Singapore
- Publication Details
- IEEE transactions on parallel and distributed systems, v 27(3), pp 869-884
- Publisher
- IEEE
- Number of pages
- 16
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000370926400020
- Scopus ID
- 2-s2.0-84962450061
- Other Identifier
- 991019295296404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic