TY  - JOUR
TT  - Design of a Resource Management for GPGPU Supported Grid Computing
AU  - Dönmez, Emrah
PY  - 2016
DA  - December
Y2  - 2016
JF  - Computer Science
JO  - JCS
PB  - Ali KARCI
WT  - DergiPark
SN  - 2548-1304
SP  - 39
EP  - 49
VL  - 1
IS  - 1
KW  - Grid computing
KW  - GPGPU
KW  - QoS
KW  - resource management
N2  - —In this study; we aimed to propose design of a QoS aware resource managementinfrastructure for a GPGPU supported Grid computing system. This Grid systemconsists of hybrid (CPU + CPU) and heterogeneous (Nvidia + AMD Radeon) GPGPUcomputational nodes. It can manage both small scale unit (connections, threads,buffer pools etc.) and large scale unit (whole computing machines). Asincreasing of the network communication bandwidth and developing powerfulcomputer hardware (CPU, GPU etc.), distributed computing systems acquire moreand more attention day by day. Grid computing is as a major player in such kindof distributed system environments like cloud, volunteer, hybrid and etc. Sinceit supports large scale resource sharing between geographically distributedcomputer clusters and even single computers. Nowadays, there is anotherimportant technology pillar to implement high performance computing rather thanCPU, it is known as GPU computing. The GPU systems are ideal especially to dataintensive applications; such as image processing, data mining, financialcomputations etc. Therefore, GPU based grids give an undertaking highercomputational performance. GPU processor consists of lots of controllable coreswhich can be used for high performance demanded applications. Ultimately, themajor concerns in grid computing are particularly related to managing QoSrequirements, granularity of resources, and heterogeneous resources (both CPUand GPU).  
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UR  - http://dergipark.org.tr/tr/pub/bbd/issue//307014
L1  - http://dergipark.org.tr/tr/download/article-file/295060
ER  -