On the Task Mapping and Scheduling for DAG-based Embedded Vision Applications on Heterogeneous Multi/Many-core Architectures
Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Page: 1003-1006
2020
- 6Citations
- 11Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
In this work, we show that applying the heterogeneous earliest finish time (HEFT) heuristic for the task scheduling of embedded vision applications can improve the system performance up to 70% w.r.t. the scheduling solutions at the state of the art. We propose an algorithm called exclusive earliest finish time (XEFT) that introduces the notion of exclusive overlap between application primitives to improve the load balancing. We show that XEFT can improve the system performance up to 33% over HEFT, and 82% over the state of the art approaches. We present the results on different benchmarks, including a real-world localization and mapping application (ORB-SLAM) combined with the NVIDIA object detection application based on deep-learning.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85087408574&origin=inward; http://dx.doi.org/10.23919/date48585.2020.9116462; https://ieeexplore.ieee.org/document/9116462/; http://xplorestaging.ieee.org/ielx7/9112295/9116186/09116462.pdf?arnumber=9116462; https://dx.doi.org/10.23919/date48585.2020.9116462
Institute of Electrical and Electronics Engineers (IEEE)
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