1 Citaat (Scopus)

Samenvatting

Heterogeneous cloud computing servers provide access to different types of hardware accelerators in order to satisfy the computational demands that standalone generalpurpose multi-processors can not deliver. The combination of different technologies provides more opportunities to accelerate the most compute-intensive applications by exploiting the key features of each type of hardware accelerator. Unfortunately, the design effort drastically increases when considering complex applications. We propose a methodology which provides an early speedup prediction when combining hardware accelerators and insights about potential performance leaks. In addition, we consider a couple of metrics to analize the computational use of the accelerators and the exploitation of the heterogeneous system. Our methodology is applied to a real-time surveillance system, which is composed of Field-Programmable Gate Arrays (FPGA) and Graphic-Processing Units (GPU). The methodology is used to provide an early speedup prediction, which is used to guide the combination of both accelerators. The achieved acceleration is only a 3:5% lower than estimated by our methodology.
Originele taal-2English
TitelIEEE
UitgeverijIEEE
Aantal pagina's8
ISBN van elektronische versie978-1-7281-1637-2 , 978-1-7281-1636-5
ISBN van geprinte versie978-1-7281-1637-2 , 978-1-7281-1636-5, 978-1-7281-1638-9
DOI's
StatusPublished - 2 jul 2018
Evenement4th international conference on cloud computing technologies and applications : Cloudtech - Vrije universiteit Brussel, Brussels, Belgium
Duur: 26 nov 201828 nov 2018

Publicatie series

Naam2018 4th International Conference on Cloud Computing Technologies and Applications, Cloudtech 2018

Conference

Conference4th international conference on cloud computing technologies and applications
Verkorte titelCloudtech
Land/RegioBelgium
StadBrussels
Periode26/11/1828/11/18

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