Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Nordström, Tomas"'
Autor:
Rezk, Nesma M., Nordström, Tomas, Stathis, Dimitrios, Ul-Abdin, Zain, Aksoy, Eren Erdal, Hemani, Ahmed
The compression of deep learning models is of fundamental importance in deploying such models to edge devices. The selection of compression parameters can be automated to meet changes in the hardware platform and application using optimization algori
Externí odkaz:
http://arxiv.org/abs/2108.01192
Recurrent Neural Networks (RNNs) are a class of machine learning algorithms used for applications with time-series and sequential data. Recently, there has been a strong interest in executing RNNs on embedded devices. However, difficulties have arise
Externí odkaz:
http://arxiv.org/abs/1908.07062
Autor:
Rezk, Nesma M., Nordström, Tomas, Stathis, Dimitrios, Ul-Abdin, Zain, Aksoy, Eren Erdal, Hemani, Ahmed
Publikováno v:
In Journal of Systems Architecture December 2022 133
Publikováno v:
In Microprocessors and Microsystems February 2020 72
In this paper we introduce Epiphany as a high-performance energy-efficient manycore architecture suitable for real-time embedded systems. This scalable architecture supports floating point operations in hardware and achieves 50 GFLOPS/W in 28 nm tech
Externí odkaz:
http://arxiv.org/abs/1412.5538
Autor:
Rezk, Nesma M.1 (AUTHOR) nesma.rezk@hh.se, Nordström, Tomas2 (AUTHOR) tomas.nordstrom@umu.se, Ul-Abdin, Zain1 (AUTHOR)
Publikováno v:
Information (2078-2489). Apr2022, Vol. 13 Issue 4, p176-176. 16p.
Publikováno v:
In Optical Switching and Networking April 2017 24:47-56
Autor:
Raase, Sebastian, Nordström, Tomas
Publikováno v:
In Procedia Computer Science 2015 51:1403-1412
Autor:
Adelöw, Anton, Nordström, Tomas
Computed tomography (CT) is a medical imaging technique that usesX-rays to obtain a reconstruction of an object. The term acquisition ge-ometry refers to the arrangement of imaging sensors and the X-ray sourceas well as the procedure used for data co
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330257
Publikováno v:
In Signal Processing November 2014 104:437-449