Zobrazeno 1 - 10
of 6 087
pro vyhledávání: '"Parallelism (grammar)"'
Publikováno v:
IEEE Transactions on Services Computing. 15:2910-2924
Numerous research efforts have been proposed for efficient processing of range queries in high-dimensional space by either redesigning R-tree access structure for exploring massive parallelism on single GPU or exploring distributed framework of R-tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09fc40b96499173a0c7274f54e7c031c
https://doi.org/10.1109/tsc.2021.3079580
https://doi.org/10.1109/tsc.2021.3079580
Autor:
Ryoichiro Kobayashi
Publikováno v:
Language and Linguistics / 語言暨語言學. :228-253
The main aim of this study is to reconsider Tomioka’s (2007) pragmatic account of the lf-intervention effects (IE), and to claim that Polarity Sensitive Items (psis) are genuine syntactic interveners. I will examine the parallelism among psis in IE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99092ecdc576650a0601872178095b04
https://doi.org/10.1075/lali.18.2.03kob
https://doi.org/10.1075/lali.18.2.03kob
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2250-2262
Data deduplication is widely deployed in solid-state drives (SSDs) to improve the storage space utilization and alleviate the endurance issue. However, deduplication increases the degree of fragmentation and the access contention, significantly hurti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e73500800760dc2394846d2b87a97f01
https://doi.org/10.1109/tcad.2021.3101404
https://doi.org/10.1109/tcad.2021.3101404
Autor:
Kate Ching-Ju Lin, Pei-Ling Chou
Publikováno v:
IEEE Transactions on Network and Service Management. 19:1006-1016
The emergence of Network Function Virtualization (NFV) and Service Function Chaining (SFC) together enable flexible and agile network management and traffic engineering. Recently, Network Function Parallelism (NFP) has been proposed to break the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c4a001b676b401e4de6a93b155bb409
https://doi.org/10.1109/tnsm.2021.3125619
https://doi.org/10.1109/tnsm.2021.3125619
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:3419-3430
Extracting the specific category of the players, such as the malignant Bot, from the huge log data of the massive multiplayer online role playing games, denoted as MMORPGs, is an important basic task in game security and personal recommendation. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6df9b302debcb021af50d81652e26ec9
https://doi.org/10.1109/tsmc.2021.3066545
https://doi.org/10.1109/tsmc.2021.3066545
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:1958-1966
Dual Coordinate Descent (DCD) is one of the most popular optimization methods. The parallelization of DCD is difficult, as DCD is sequential in nature. As such, simultaneously running multiple DCD threads on batches of data elements causes result ina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63b776a702a94f3bcfd947936cad2ac
https://doi.org/10.1109/tkde.2020.3000905
https://doi.org/10.1109/tkde.2020.3000905
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:989-1001
Combinatorial algorithms such as those that arise in graph analysis, modeling of discrete systems, bioinformatics, and chemistry, are often hard to parallelize. The Combinatorial BLAS library implements key computational primitives for rapid developm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca657c4af39f400888f809ba3aa97dc
https://doi.org/10.1109/tpds.2021.3094091
https://doi.org/10.1109/tpds.2021.3094091
Autor:
Mingyu Yan, Xinfeng Xie, Yufei Ding, Xiaobing Chen, Xing Hu, Lei Deng, Abanti Basak, Ling Liang, Yuan Xie, Zidong Du, Yuke Wang
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:936-949
Graph convolutional network (GCN) emerges as a promising direction to learn the inductive representation in graph data commonly used in widespread applications, such as E-commerce, social networks, and knowledge graphs. However, learning from graphs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ad39e66dbecb0523a7c93d620ce35e
https://doi.org/10.1109/tcad.2021.3079142
https://doi.org/10.1109/tcad.2021.3079142
Publikováno v:
IEEE Embedded Systems Letters. 14:15-18
As deep learning inference applications are increasing, an embedded device tends to equip neural processing units (NPUs) in addition to a CPU and a GPU. For fast and efficient development of deep learning applications, TensorRT is provided as the SDK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79cf8b1cadad4e828419ceb27df18b98
https://doi.org/10.1109/les.2021.3087707
https://doi.org/10.1109/les.2021.3087707
Publikováno v:
Information Sciences. 585:176-193
The parallel Hierarchical Dirichlet Process (pHDP) is an efficient topic model which explores the equivalence of the generation process between Hierarchical Dirichlet Process (HDP) and Gamma-Gamma-Poisson Process (G2PP), in order to achieve paralleli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::001358d8b44342a72863e7eb3c793e96
https://doi.org/10.1016/j.ins.2021.11.060
https://doi.org/10.1016/j.ins.2021.11.060