Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Nikitas J. Dimopoulos"'
Publikováno v:
ISCAS
Interferometric Synthetic Aperture Radar (InSAR) is a measuring technology that uses the phase information contained in the images of the Synthetic Aperture Radar (SAR). InSAR has been recognized as a potential method for digital elevation models (DE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b666b3aadd71bab348653c1f5fceabc
https://doi.org/10.1109/iscas45731.2020.9180733
https://doi.org/10.1109/iscas45731.2020.9180733
Autor:
Bardia Barabadi, Clemens P. J. Adolphs, Amirali Baniasadi, Nikitas J. Dimopoulos, Khaled A. Helal Kelany
Publikováno v:
QCE
The focus of this work is to explore the use of quantum annealing solvers for the problem of phase unwrapping of synthetic aperture radar (SAR) images. Although solutions to this problem exist based on network programming, these techniques do not sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde1938804b0a4f1d08c197a6ca52563
http://arxiv.org/abs/2010.00220
http://arxiv.org/abs/2010.00220
Publikováno v:
APCCAS
Super-Resolution is the process of generating high-resolution (HR) images from a low-resolution (LR) ones. In learning-based SR algorithms, artificial neural networks (ANN) are used. This is achieved by training the network using HR and LR image pair
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ba9119c11637a04203feaa64c751c34
https://doi.org/10.1109/apccas47518.2019.8953090
https://doi.org/10.1109/apccas47518.2019.8953090
Publikováno v:
NORCAS
Energy minimization on large scale problems can be expensive to compute. This paper presents an extension of a primal-dual algorithm to scale to large scale convex energy minimization problems, while guaranteeing the global optimum on convergence. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda2f2b6fb41b7370896d3361872da64
https://doi.org/10.1109/norchip.2019.8906916
https://doi.org/10.1109/norchip.2019.8906916
Publikováno v:
Proceedings of the Second International Workshop on Post Moores Era Supercomputing.
Neural networks (NN) are models of choice in machine learning, as they can learn and model highly non-linear functions. However, the process of training NNs is an ill-posed problem, as the solution is either not unique or not a continuous function of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e17d395ef6c13572187ae8f8c5eb97f5
https://doi.org/10.1145/3149526.3149528
https://doi.org/10.1145/3149526.3149528
Publikováno v:
E2SC@SC
This paper focuses on different methods developed to detect the upcoming execution phase of a workload with regards to power demands. By controlling the state of the processor in power demanding phases, the operating system can maintain a relatively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dca3d385571c7b83e24e56dbcbbba4f
https://doi.org/10.1145/3149412.3149415
https://doi.org/10.1145/3149412.3149415
Publikováno v:
HPCS
GPUs have been widely used in the past decade to speed up the execution of general purpose applications with high level of parallelism. The efficiency of running general purpose applications on GPUs depends on how well the processing and memory deman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17447795d939ce05146ea1f5223266a0
https://doi.org/10.1109/hpcs.2017.69
https://doi.org/10.1109/hpcs.2017.69
Publikováno v:
IJCNN
Dynamic ensemble selection techniques, on a case by case basis, select a subset from the pool of available ensembles to classify the unknown exemplars. This selection process is usually based on a criterion that the selected ensembles should meet. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c480e1548bef98acd28dc990920b6076
https://doi.org/10.1109/ijcnn.2017.7966354
https://doi.org/10.1109/ijcnn.2017.7966354
Publikováno v:
CCECE
The amount of energy and other resources required to execute a workload varies during runtime, making it important to be able to profile the execution according to code sections in the source code. This work describes SAPPP, a low-overhead online pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a11070c4c7774f64430343fc1fe4980
https://doi.org/10.1109/ccece.2017.7946659
https://doi.org/10.1109/ccece.2017.7946659
Publikováno v:
Architecture of Computing Systems-ARCS 2017 ISBN: 9783319549989
ARCS
ARCS
In this paper, a new hierarchical view of the workload phase classification problem is introduced. Execution phases are the continuous pieces of execution that show consistent behaviour in terms of performance and power. To the best of our knowledge,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33449b8237a6abc5d8f3c22840b5f059
https://doi.org/10.1007/978-3-319-54999-6_7
https://doi.org/10.1007/978-3-319-54999-6_7