Development system for forecasting of supercomputer performance

The research purpose: The purpose of the graduation work is to create a system for forecasting the performance of supercomputers in Python. Forecasting is one of the most important topics in modern times and Python is one of the best programs used to create forecasting systems with the help of the different libraries. A system for forecasting the performance of supercomputers has been created here. The research result: The graduation work is devoted to forecasting the performance of modern supercomputers. The main stages of forecasting in the graduation work were as follows: Selection of modern supercomputers; Review of forecasting methods; Using the Stats models library in Python.

Fayllara Giriş
Görüntülenme
4
01.02.2023 tarihinden bu yana
İndirme
1
01.02.2023 tarihinden bu yana
Son Erişim Tarihi
13 Haziran 2024 11:17
Google Kontrol
Click
Ähli Matbuot
Tam Metin Almak üçin bas. Ön izleme
Detaylı Görünüm
Eser ady
(dc.title)		Development system for forecasting of supercomputer performance
Eser Sahibi
(dc.contributor.author)		 Mahmud Jabrayilov
Publisher
(dc.publisher)		İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
Esere Katkı Sağlayan
(dc.contributor.other)		Merih Palandoken
Görnüş
(dc.type)		Diğer
Düşündiriş
(dc.description)		Yüksek Lisans Bitirme Projesi
Gysga Maglumat
(dc.description.abstract)		The research purpose: The purpose of the graduation work is to create a system for forecasting the performance of supercomputers in Python. Forecasting is one of the most important topics in modern times and Python is one of the best programs used to create forecasting systems with the help of the different libraries. A system for forecasting the performance of supercomputers has been created here. The research result: The graduation work is devoted to forecasting the performance of modern supercomputers. The main stages of forecasting in the graduation work were as follows: Selection of modern supercomputers; Review of forecasting methods; Using the Stats models library in Python.
Täzelenenç Düzümleniş Senesi
(dc.date.accessioned)		2023-02-01
Açık Erişim Tarihi
(dc.date.available)		2023-02-01
Neşir senesi
(dc.date.issued)		2023
Iňleýin Görnüşli Salgysy
(dc.identifier.uri)		https://hdl.handle.net/11469/3320
Yayın Dili
(dc.language.iso)		tr
Konu Başlıkları
(dc.subject)		Supercomputer
Konu Başlıkları
(dc.subject)		Forecasting
Haklar
(dc.rights)		Open access
Analizler
Näsir Görüp Bileni
Näsir Görüp Bileni
Görkezilen ýurtlar
Içeri girilen şäherler
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.
Bolýa Açık Erişim Politikası
creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms