Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Salar Latifi"'
Publikováno v:
Proceedings of the 2016 ACM Multimedia Conference, Open Source Software Track, pages 1201-1205, October 2016
Many mobile applications running on smartphones and wearable devices would potentially benefit from the accuracy and scalability of deep CNN-based machine learning algorithms. However, performance and energy consumption limitations make the execution
Externí odkaz:
http://arxiv.org/abs/1511.07376
Publikováno v:
2022 IEEE 40th International Conference on Computer Design (ICCD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d93848e1038c522236aec89fed43578
https://doi.org/10.1109/iccd56317.2022.00057
https://doi.org/10.1109/iccd56317.2022.00057
Publikováno v:
2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed02f98343ff1f6af4d6e58382f45a27
https://doi.org/10.1109/cgo53902.2022.9741263
https://doi.org/10.1109/cgo53902.2022.9741263
Publikováno v:
DAC
This paper proposes SIEVE, Speculative Inference on the Edge with Versatile Exportation, which dynamically distributes CNN computation between the cloud and edge device based on the input data and environmental conditions to maximize efficiency and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687358ff99ef7b2f4eb4b12c0d4c680a
https://doi.org/10.1109/dac18072.2020.9218698
https://doi.org/10.1109/dac18072.2020.9218698
Publikováno v:
DSN
Deep neural networks (DNNs) are now starting to emerge in mission critical applications including autonomous vehicles and precision medicine. An important question is the dependability of DNNs and trustworthiness of their predictions. Considering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca2661ca7ce4c52631dfe394eb0b3a36
https://doi.org/10.1109/dsn48063.2020.00029
https://doi.org/10.1109/dsn48063.2020.00029
Publikováno v:
PACT
To facilitate the efficient execution of convolutional neural networks (CNNs) on cloud servers, this paper proposes Yin Yang (YY), an input-driven synergistic deep learning system, which dynamically distributes CNN computation between a complex (Yang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2037ad78003f5f1ec28b40b2f8052d42
https://doi.org/10.1109/pact.2019.00065
https://doi.org/10.1109/pact.2019.00065