Master of Science in Electrical Engineering June 2018 Performance Metrics Analysis of GamingAnywhere with GPU accelerated NVIDIA CUDA Byreddy Sreenibha Reddy And Mohammed Zaahid Faculty of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial + fulfilment of the requirements for the degree of Master’s in Electrical Engineering with Emphasis on Telecommunication Systems. The thesis is equivalent to 20 weeks of full time studies. Contact Information: Author(s): Sreenibha Reddy Byreddy E-mail:
[email protected] Zaahid Mohammed E-mail:
[email protected] University advisor: Dr. Siamak Khatibi Department of communication systems E-mail:
[email protected] Dr. Yong Yao Department of communication systems E-mail:
[email protected] Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE-371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 ii ABSTRACT The modern world has opened the gates to a lot of advancements in cloud computing, particularly in the field of Cloud Gaming. The most recent development made in this area is the open-source cloud gaming system called GamingAnywhere. The relationship between the CPU and GPU is what is the main object of our concentration in this thesis paper. The Graphical Processing Unit (GPU) performance plays a vital role in analyzing the playing experience and enhancement of GamingAnywhere. In this paper, the virtualization of the GPU has been concentrated on and is suggested that the acceleration of this unit using NVIDIA CUDA, is the key for better performance while using GamingAnywhere.