Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jaehoon Koo"'
Autor:
Jaehoon Koo, Sangheum Hwang
Publikováno v:
IEEE Access, Vol 9, Pp 78873-78882 (2021)
For a yield enhancement in semiconductor manufacturing, it is necessary to analyze wafer maps since they contain information gathered during the manufacturing such as test results of each chip. Especially, spatial patterns of defective chips, e.g. zo
Externí odkaz:
https://doaj.org/article/d1bb00b4705f41378342038a969537c3
Autor:
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Rob Ross
Publikováno v:
CLUSTER 2022-IEEE International Conference on Cluster Computing (CLUSTER)
CLUSTER 2022-IEEE International Conference on Cluster Computing (CLUSTER), Sep 2022, Heidelberg, Germany. pp.381-393, ⟨10.1109/CLUSTER51413.2022.00049⟩
CLUSTER 2022-IEEE International Conference on Cluster Computing (CLUSTER), Sep 2022, Heidelberg, Germany. pp.381-393, ⟨10.1109/CLUSTER51413.2022.00049⟩
Distributed data storage services tailored to specific applications have grown popular in the high-performance computing (HPC) community as a way to address I/O and storage challenges. These services offer a variety of specific interfaces, semantics,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe01b69b639ebd0abcfe69f48db14cb
https://hal.science/hal-03864478
https://hal.science/hal-03864478
Publikováno v:
Expert Systems with Applications. 212:118761
Publikováno v:
2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Polly is the LLVM project's polyhedral loop nest optimizer. Recently, user-directed loop transformation pragmas were proposed based on LLVM/Clang and Polly. The search space exposed by the transformation pragmas is a tree, wherein each node represent
Autor:
Jaehoon Koo, Anil U. Mane, Angel Yanguas-Gil, Prasanna Balaprakash, Sandeep Madireddy, Jeffrey W. Elam
Publikováno v:
2021 IEEE Space Computing Conference (SCC).
Brain inspired computing is widely regarded as a promising approach to achieve low power smart processing at the edge. In this work, we explore its potential to enable non-trivial computing under extreme environments, such as high temperature and hig
Autor:
Diego Klabjan, Jaehoon Koo
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616083
ICANN (1)
ICANN (1)
For better classification, generative models are used to initialize the model and extract features before training a classifier. Typically, separate unsupervised and supervised learning problems are solved. Generative restricted Boltzmann machines an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af92539c4a4de3c533995499dd266a30
https://doi.org/10.1007/978-3-030-61609-0_43
https://doi.org/10.1007/978-3-030-61609-0_43
Publikováno v:
Web of Science
CNSM
CNSM
Efficient network slicing is vital to deal with the highly variable and dynamic characteristics of network traffic generated by a varied range of applications. The problem is made more challenging with the advent of new technologies such as 5G and ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5722df04d1183b1a4700ea3797c9a8cd
http://arxiv.org/abs/1908.03242
http://arxiv.org/abs/1908.03242
Publikováno v:
IEEE BigData
Deep learning models based on CNNs are predominantly used in image classification tasks. Such approaches, assuming independence of object categories, normally use a CNN as a feature learner and apply a flat classifier on top of it. Object classes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d6f59549cde2d0332f0af299daceb9
http://arxiv.org/abs/1809.09574
http://arxiv.org/abs/1809.09574
Publikováno v:
International Journal of Imaging Systems and Technology. 12:35-42
Multiple undersampled images of a scene are often obtained by using a charge-coupled device (CCD) detector array of sensors that are shifted relative to each other by subpixel displacements. This geometry of sensors, where each sensor has a subarray
Publikováno v:
CASE
The existing works on automatic detection and/or classification of clusters of defective dies on wafers is reviewed. The literature is classified into three major categories, namely, spatial randomness test, automatic cluster detection only, and auto