Pregled bibliografske jedinice broj: 1131609
A Brief Note on the Influence of Storage Choices on Machine Learning Algorithm Training Times
A Brief Note on the Influence of Storage Choices on Machine Learning Algorithm Training Times // Ri-STEM-2021 Proceedings / Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan (ur.).
Rijeka, 2021. str. 19-25 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
CROSBI ID: 1131609 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Brief Note on the Influence of Storage
Choices on Machine Learning Algorithm
Training Times
Autori
Sandi Baressi Šegota, Daniel Štifanić, Jelena Musulin, Zlatan Car
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Ri-STEM-2021 Proceedings
/ Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan - Rijeka, 2021, 19-25
ISBN
978-953-8246-22-7
Skup
International Student Scientific Conference (Ri-STEM 2021)
Mjesto i datum
Rijeka, Hrvatska, 10.06.2021. - 11.06.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Artificial Intelligence, Execution Timing, Machine Learning, Performance Profiling
Sažetak
Training times of ML algorithms is one of their biggest pitfalls, with a large number of researchers and developers working on ways to speed up the process. This paper attempts to determine the influence of used storage, within a realistic environment – foregoing bloated datasets and models, on the training times. The research utilizes two models, on two different architectures, across four different storage options: Solid State Drive (SSD), Hard Disk Drive (HDD), RAMDISK and network accessed storage. The results show that there is not a large difference in training times, when observing realistic cases and suggests that a significant influence on training times is not exhibited by storage.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( CroRIS)
EK-EFRR-KK.01.1.1.02.0023 - Razvojno-edukacijski centar za metalsku industriju – Metalska jezgra Čakovec (Car, Zlatan, EK - KK.01.1.1.02) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( CroRIS)
--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka
Profili:
Zlatan Car
(autor)
