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pro vyhledávání: '"Ahmet Artu Yıldırım"'
Autor:
Ahmet Artu Yıldırım
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030801182
This study describes a Scheme library, named Orca, which is used to compute symbolic expressions in parallel via remote evaluation based on the message-passing interface (MPI) standard. Today, MPI is one of the most used standards, in particular high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::584aaf3bd71cffc122ec1fa0d5d36c89
https://doi.org/10.1007/978-3-030-80119-9_10
https://doi.org/10.1007/978-3-030-80119-9_10
Autor:
Daniel W. Watson, Ahmet Artu Yıldırım
Publikováno v:
The Journal of Supercomputing. 71:2365-2380
Cluster analysis--as a technique for grouping a set of objects into similar clusters--is an integral part of data analysis and has received wide interest among data mining specialists. The parallel wavelet-based clustering algorithm using discrete wa
Autor:
Daniel W. Watson, Ahmet Artu Yıldırım
Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4b4c810e20e0fce20d0a7ae4987f438
https://doi.org/10.4018/978-1-4666-9834-5.ch002
https://doi.org/10.4018/978-1-4666-9834-5.ch002
Autor:
Ahmet Artu Yıldırım, Dan Watson
Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, it's seen that distributed object storage systems play an important role at back-end in achieving this succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c268fdee248e4fac09fff5f07f15abe
https://doi.org/10.4018/978-1-4666-9840-6.ch039
https://doi.org/10.4018/978-1-4666-9840-6.ch039
Autor:
Cem Özdoğan, Ahmet Artu Yıldırım
Publikováno v:
Journal of Parallel and Distributed Computing. 71:955-962
A linear scaling parallel clustering algorithm implementation and its application to very large datasets for cluster analysis is reported. WaveCluster is a novel clustering approach based on wavelet transforms. Despite this approach has an ability to
Publikováno v:
Civil and Environmental Engineering Faculty Publications
Grid digital elevation models (DEMs) are commonly used in hydrology to derive information related to topographically driven flow. Advances in technology for creating DEMs have increased their resolution and data size with the result that algorithms f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4b3ec71b3651874b98f90883b044c0
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=3464&context=cee_facpub
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=3464&context=cee_facpub
Data reduction is perhaps the most critical component in retrieving information from big data (i.e., petascale-sized data) in many data-mining processes. The central issue of these data reduction techniques is to save time and bandwidth in enabling t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3925cd610c78fc6df1546659eb0c61b5
https://doi.org/10.4018/978-1-4666-4699-5.ch004
https://doi.org/10.4018/978-1-4666-4699-5.ch004
Autor:
Cem Özdoğan, Ahmet Artu Yıldırım
Publikováno v:
WCIT
There has been a substantial interest in scientific and engineering computing community to speed up the CPU-intensive tasks on graphical processing units (GPUs) with the development of many-core GPUs as having very large memory bandwidth and computat