Zobrazeno 1 - 10
of 88
pro vyhledávání: '"John Glossner"'
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2009 (2009)
Externí odkaz:
https://doaj.org/article/ed60990d226144e58d8bccb08033b4be
Publikováno v:
ACM Transactions on Embedded Computing Systems. 22:1-27
Neural network processors and accelerators are domain-specific architectures deployed to solve the high computational requirements of deep learning algorithms. This article proposes a new instruction set extension for tensor computing, TCX, using Red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ae240ff2b5c2a819e98525259c83506
https://doi.org/10.1145/3568310
https://doi.org/10.1145/3568310
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::357c120738a542305a7da23e7a442a45
https://doi.org/10.23919/date54114.2022.9774626
https://doi.org/10.23919/date54114.2022.9774626
Deep neural networks have been applied in many applications exhibiting extraordinary abilities in the field of computer vision. However, complex network architectures challenge efficient real-time deployment and require significant computation resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5893273d8b62a79f42f732430739a03a
http://arxiv.org/abs/2101.09671
http://arxiv.org/abs/2101.09671
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030880125
PRCV (4)
PRCV (4)
High bandwidth requirements in edge devices can be a bottleneck for many systems - especially for accelerating both training and inference of deep neural networks. In this paper, we analyze feature map sparsity for several popular convolutional neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9200d4bdb8f696680dd12b3fac6edd40
https://doi.org/10.1007/978-3-030-88013-2_34
https://doi.org/10.1007/978-3-030-88013-2_34
Autor:
Chaoyang Tian, Tailin Liang, Shaobo Shi, Daniel Iancu, Chunxia Xu, Nianliang Yang, John Glossner, Xiaodong Zhang, Mayan Moudgill, Gary Nacer, Kerry Li, Huang Wei, Lei Wang
Publikováno v:
WCSP
We describe a programmable and scalable Convolutional Neural Network (CNN) hardware accelerator optimized for mobile and edge inference computing. The accelerator is comprised of 4 heterogeneous engines - input engine, filter engine, post processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bbcad1ac3f79e4907969e27cb977d14
https://doi.org/10.1109/wcsp49889.2020.9299736
https://doi.org/10.1109/wcsp49889.2020.9299736
Autor:
John Glossner, Nicholas Bertozzi, Timothy Kostar, Xinyun Guo, Jennifer McInnis, Linda Marquis
Publikováno v:
2016 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a10790f296e33bc8f8309507d1646e18
https://doi.org/10.18260/p.26491
https://doi.org/10.18260/p.26491
Publikováno v:
Analog Integrated Circuits and Signal Processing. 73:439-442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fe8b21e9be77067520997557d553f6d
https://doi.org/10.1007/s10470-012-9968-7
https://doi.org/10.1007/s10470-012-9968-7
Publikováno v:
Analog Integrated Circuits and Signal Processing. 73:569-582
This paper presents an implementation of a 2 × 2 Multi-Input Multi-Output Software Defined Radio (SDR) Base Station system using a Message Passing Interface (MPI)-based Graphic Processing Unit (GPU) cluster as its modem processor for a high-speed da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7777a25dc2b561aad0c23d534d58fd54
https://doi.org/10.1007/s10470-012-9941-5
https://doi.org/10.1007/s10470-012-9941-5
Publikováno v:
Analog Integrated Circuits and Signal Processing. 73:559-567
Since H. Yao proposed the lattice reduction (LR)-aided detection algorithm for the MIMO detector, one can exploit the diversity gain provided by the LR method to achieve performance comparable to the maximum likelihood (ML) algorithm but with complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47388fca4072211d314ffff3bfb8a6ee
https://doi.org/10.1007/s10470-012-9870-3
https://doi.org/10.1007/s10470-012-9870-3