چکیده (انگلیسی):

Given the need to achieve maximum performance possible, offloading intensive computation workload to
GPU is a key to achieve this goal. Offloading most of the workload to GPU may not results in desired
performance, so a middle approach is more suitable such as splitting the workload between the CPU and the
GPU can be considered as an optimized approach. In this study, we used a popular high performance
computation workload which can also be implemented using a hybrid approach in which part of the
workload is offloaded to the CPU. We also present a performance estimation method which is verified to
estimate performance with in 5% error margin.