Pregled bibliografske jedinice broj: 1061673
Towards a synthetic load generator framework for validating schedules in HPC environment
Towards a synthetic load generator framework for validating schedules in HPC environment // 2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH)
Jahorina, Bosna i Hercegovina: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1-6 doi:10.1109/infoteh48170.2020.9066314 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1061673 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards a synthetic load generator framework for validating schedules in HPC environment
Autori
Krpić, Zdravko ; Lukić, Ivica ; Köhler, Mirko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2020, 1-6
ISBN
978-1-7281-4775-8
Skup
19th International Symposium INFOTEH-JAHORINA
Mjesto i datum
Jahorina, Bosna i Hercegovina, 18.03.2020. - 20.03.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
High performance computing ; scheduling ; graph-based parallel workloads ; DAG
Sažetak
Most of the scientific parallel and distributed applications require significant amount of time to complete on huge and expensive computing systems. Often, these applications are executed multiple times, making their scheduling a critical process for the runtime performance. One way to validate effectiveness of a schedule is to run the application on the actual hardware, which takes a lot of time and resources and is largely unfeasible. In this work we present a baseline for an adjustable-scale graph-based parallel workload executor framework for executing custom-scaled parallel applications given as graphs using synthetic load for the tasks, the GRAPPLER. The idea behind GRAPPLER is to operate as a schedule validator whose execution traces can provide valuable insights into runtime bottlenecks of the application, platform and the scheduler.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
ZUP2018-43
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek