Multi-core-GPUs-SRs platform policy in hard real time system (MCGSP)
Furkan Rabee, Yong Liao, Maolin Yang · 2014
With rapid development of Graphics Processing Units (GPU) technologies, GPUs are strongly motivated to be adopted in many real-time applications, and to be online with that we present a new design for multi-core-GPUs platform system with different shared resources, where this platform divided into two part; fist: clustering the multi-core-GPUs-shared resources by a new method, where CPUs and GPUs with shared resources grouped in one cluster and scheduled it by partition scheduling with MPCP, and second; presenting an innovative mechanism for scheduling GPUs with shared resources in multi-core system. The GPU has been tested with many operations by OpenCL language and used the GPU performance with multi-core system depending on MPCP protocol evaluations and compare it with traditional system without GPU and the evaluations were very good.