Pregled bibliografske jedinice broj: 911034
Towards a Common Software-to-Hardware Allocation Framework for the Heterogeneous High Performance Computing
Towards a Common Software-to-Hardware Allocation Framework for the Heterogeneous High Performance Computing // IEEE 38th Annual International Computers, Software and Applications Conference COMPSAC 2014 / Chang, Carl K. ; Gao, Yan ; Hurson, Ali ; Matskin, Mihhail ; McMillin, Bruce ; Okabe, Yasuo ; Seceleanu, Cristina ; Yoshida, Kenichi (ur.).
Los Alamitos (CA), 2014. str. 378-383 doi:10.1109/COMPSACW.2014.65 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Towards a Common Software-to-Hardware Allocation Framework for the Heterogeneous High Performance Computing
Autori
Krpić, Zdravko ; Crnković, Ivica ; Carlson, Jan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IEEE 38th Annual International Computers, Software and Applications Conference COMPSAC 2014
/ Chang, Carl K. ; Gao, Yan ; Hurson, Ali ; Matskin, Mihhail ; McMillin, Bruce ; Okabe, Yasuo ; Seceleanu, Cristina ; Yoshida, Kenichi - Los Alamitos (CA), 2014, 378-383
Skup
IEEE 38th International Computer Software and Applications Conference Workshops
Mjesto i datum
Västerås, Švedska, 21.07.2014. - 25.07.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Heterogeneous platform ; Allocation ; Mapping ; Graph application model
Sažetak
In the domain of high performance computing, software deployment on heterogeneous distributed processing units has been in practice for many years. However, new hardware technologies, increased complexity of software and significant increase of requirements demand new methods that can manage these concerns in an efficient way. In this paper we propose a new optimization framework that in a systematic way addresses a general allocation model, the software and deployment architectures, and, based on the user preferences, provides a software deployment solution regardless of number of quality attributes used. Additionally, we present the input models to the allocation process capable of describing a number of software and hardware configurations, and a two-step allocation algorithm capable of harnessing these models.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek