Pregled bibliografske jedinice broj: 824269
Performance Estimation in Heterogeneous MPSoC Based on Elementary Operation Cost
Performance Estimation in Heterogeneous MPSoC Based on Elementary Operation Cost // Proceedings of MIPRO 2016 39th International Convention / Biljanović, Petar (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 1409-1412 doi:10.1109/MIPRO.2016.7522322 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 824269 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Performance Estimation in Heterogeneous MPSoC Based on Elementary Operation Cost
Autori
Frid, Nikolina ; Ivošević, Danko ; Sruk, Vlado
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2016 39th International Convention
/ Biljanović, Petar - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016, 1409-1412
ISBN
978-953-233-087-8
Skup
MIPRO 2016 39th International Convention
Mjesto i datum
Opatija, Hrvatska, 30.05.2016. - 03.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Embedded Computer Systems ; Heterogeneous Computing ; FPGA ; Design Space Exploration ; Performance Estimation
Sažetak
Effective use of resources available on heterogeneous MPSoC platforms can only be achieved through careful resource allocation and scheduling. The diversity of processing and memory elements will manifest itself in the total time and resources required to perform a task or execute an application. Choosing the right platform element is the key and the first step is performance estimation. This paper tackles the issue of finding the most suitable processing element for each part of the software application through a novel approach – elementary operation cost. The cost of each elementary operation is experimentally determined through a set of carefully devised benchmarks and is used for estimating duration of complex functions found in common applications such as JPEG, AES etc. By raising the abstraction level on which the execution time is calculated from instruction to operation level, common problems in performance estimation such as pipelining and branch prediction can be avoided and estimation accuracy is improved. Demonstrated results show that the average error rate of estimated execution times for various benchmarks is around six percent compared to the actual execution times.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb