Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Babak Zamirai"'
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:
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
Publikováno v:
IEEE Design & Test. 33:43-50
How to ensure the output quality is one of the most critical challenges in approximate computing. This paper presents an online quality management system in an approximate-accelerator-based computing environment that can effectively detect and correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a794a32166512c21023675da0a87b19b
https://doi.org/10.1109/mdat.2015.2501306
https://doi.org/10.1109/mdat.2015.2501306
Autor:
Lingjia Tang, Animesh Jain, Parker Hill, Chang-Hong Hsu, Jason Mars, Michael A. Laurenzano, Babak Zamirai, Mason Hill, Scott Mahlke
Publikováno v:
MICRO
Deep neural networks (DNNs) are key computational building blocks for emerging classes of web services that interact in real time with users via voice, images and video inputs. Although GPUs have gained popularity as a key accelerator platform for de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8931610e2de30552a25e2c99e529e095
https://doi.org/10.1145/3123939.3123970
https://doi.org/10.1145/3123939.3123970
Publikováno v:
ISCA
Approximate computing can be employed for an emerging class of applications from various domains such as multimedia, machine learning and computer vision. The approximated output of such applications, even though not 100% numerically correct, is ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4cd65936a4dc0962424f1087b5be85
https://doi.org/10.1145/2749469.2750371
https://doi.org/10.1145/2749469.2750371