Year 2016, Volume 1, Issue 1, Pages 39 - 49 2016-12-01

Design of a Resource Management for GPGPU Supported Grid Computing
Design of a Resource Management for GPGPU Supported Grid Computing

Emrah Dönmez [1]

194 215

— In this study; we aimed to propose design of a QoS aware resource management infrastructure for a GPGPU supported Grid computing system. This Grid system consists of hybrid (CPU + CPU) and heterogeneous (Nvidia + AMD Radeon) GPGPU computational nodes. It can manage both small scale unit (connections, threads, buffer pools etc.) and large scale unit (whole computing machines). As increasing of the network communication bandwidth and developing powerful computer hardware (CPU, GPU etc.), distributed computing systems acquire more and more attention day by day. Grid computing is as a major player in such kind of distributed system environments like cloud, volunteer, hybrid and etc. Since it supports large scale resource sharing between geographically distributed computer clusters and even single computers. Nowadays, there is another important technology pillar to implement high performance computing rather than CPU, it is known as GPU computing. The GPU systems are ideal especially to data intensive applications; such as image processing, data mining, financial computations etc. Therefore, GPU based grids give an undertaking higher computational performance. GPU processor consists of lots of controllable cores which can be used for high performance demanded applications. Ultimately, the major concerns in grid computing are particularly related to managing QoS requirements, granularity of resources, and heterogeneous resources (both CPU and GPU).  

— In this study; we aimed to propose design of a QoS aware resource management infrastructure for a GPGPU supported Grid computing system. This Grid system consists of hybrid (CPU + CPU) and heterogeneous (Nvidia + AMD Radeon) GPGPU computational nodes. It can manage both small scale unit (connections, threads, buffer pools etc.) and large scale unit (whole computing machines). As increasing of the network communication bandwidth and developing powerful computer hardware (CPU, GPU etc.), distributed computing systems acquire more and more attention day by day. Grid computing is as a major player in such kind of distributed system environments like cloud, volunteer, hybrid and etc. Since it supports large scale resource sharing between geographically distributed computer clusters and even single computers. Nowadays, there is another important technology pillar to implement high performance computing rather than CPU, it is known as GPU computing. The GPU systems are ideal especially to data intensive applications; such as image processing, data mining, financial computations etc. Therefore, GPU based grids give an undertaking higher computational performance. GPU processor consists of lots of controllable cores which can be used for high performance demanded applications. Ultimately, the major concerns in grid computing are particularly related to managing QoS requirements, granularity of resources, and heterogeneous resources (both CPU and GPU).  

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Journal Section PAPERS
Authors

Author: Emrah Dönmez
Country: Turkey


Dates

Publication Date: December 1, 2016

Bibtex @research article { bbd307014, journal = {Anatolian Science - Bilgisayar Bilimleri Dergisi}, issn = {2548-1304}, address = {Ali KARCI}, year = {2016}, volume = {1}, pages = {39 - 49}, doi = {}, title = {Design of a Resource Management for GPGPU Supported Grid Computing}, key = {cite}, author = {Dönmez, Emrah} }
APA Dönmez, E . (2016). Design of a Resource Management for GPGPU Supported Grid Computing. Anatolian Science - Bilgisayar Bilimleri Dergisi, 1 (1), 39-49. Retrieved from http://dergipark.org.tr/bbd/issue/28692/307014
MLA Dönmez, E . "Design of a Resource Management for GPGPU Supported Grid Computing". Anatolian Science - Bilgisayar Bilimleri Dergisi 1 (2016): 39-49 <http://dergipark.org.tr/bbd/issue/28692/307014>
Chicago Dönmez, E . "Design of a Resource Management for GPGPU Supported Grid Computing". Anatolian Science - Bilgisayar Bilimleri Dergisi 1 (2016): 39-49
RIS TY - JOUR T1 - Design of a Resource Management for GPGPU Supported Grid Computing AU - Emrah Dönmez Y1 - 2016 PY - 2016 N1 - DO - T2 - Anatolian Science - Bilgisayar Bilimleri Dergisi JF - Journal JO - JOR SP - 39 EP - 49 VL - 1 IS - 1 SN - 2548-1304- M3 - UR - Y2 - 2016 ER -
EndNote %0 Journal of Computer Science Design of a Resource Management for GPGPU Supported Grid Computing %A Emrah Dönmez %T Design of a Resource Management for GPGPU Supported Grid Computing %D 2016 %J Anatolian Science - Bilgisayar Bilimleri Dergisi %P 2548-1304- %V 1 %N 1 %R %U
ISNAD Dönmez, Emrah . "Design of a Resource Management for GPGPU Supported Grid Computing". Anatolian Science - Bilgisayar Bilimleri Dergisi 1 / 1 (December 2016): 39-49.
AMA Dönmez E . Design of a Resource Management for GPGPU Supported Grid Computing. BBD. 2016; 1(1): 39-49.
Vancouver Dönmez E . Design of a Resource Management for GPGPU Supported Grid Computing. Anatolian Science - Bilgisayar Bilimleri Dergisi. 2016; 1(1): 49-39.