Splay Thread Cooperation on Ray Tracing as a Load Balancing Technique in Speculative Parallelism and GPGPU

The introduction of the speculative parallelism into any models can improve the performance and provides significant benefits and increases the Instruction level parallelism (ILP) and Thread level Parallelism (TLP). A General Purpose Graphics Processing Unit (GPGPU) is the future computing technology working with both Graphics Processing Unit (CPU) and GPU to solve many real-world problems not only the graphics problems but also the general purpose applications. As GPU uses data parallelism tasks, the dynamic memory creation and the splay trees which are self adjusting allows for the increase in throughput and load balancing. The frequently used nodes near to the root are an advantage for finding locality of threads as well as for caching and garbage collection. A technique used to render and to study complex scenes into images and to render color, intensity of pixels, distance between pixels is referred as Ray tracing. Multithreading is a promising technique which increases the performance of the computer systems by increasing the instruction level parallelism and thread level speculation. In this paper a new technique is proposed for workload balancing on the Graphics processors and CPU that can be implemented on the graphics processors along with the CPU which provides the optimal result with the speculation techniques and Lorentz Transformation, which is used to determine color and brightness of the ray which are refracted or reflected and also the relative distance between the thread spawning which results in time dilation and contraction. A Graphics Processing Unit Ocelot (GPUOCELOT) is a compilation framework, a simulator used for the execution of the programs which has resulted in the increase in the performance of the instructions which uses the amortized cost