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A Raytracer utilizing OpenCL. Written by Mark Becker, Cameron Brown
that uses the graphical processing unit’s (GPU) processing architecture. GPUs are normally used for computer graphic computation. We are using this many-core architecture to perform computations on very large data sets using the GPU’s parallelization capabilities. We designed and developed a ray tracer that demonstrates the OpenCL framework. A suite of benchmark tests were developed to compare relative run times. Benchmarks were run on these systems using native C code on the CPU, and OpenCL using both the CPU and GPU. The project had three main parts: building the ray tracer, utilizing the OpenCL framework, creating the benchmarks. Developed and tested on...
pixels in an view plane and simulating the effects of its intersections with virtual objects. Ray tracing is capable of producing an image of photo-realistic quality. usually higher than that of scan-line rendering methods. Unfortunately this level of realism comes at a greater computational cost. What is OpenCL?
composed of a combination of CPUs, GPUs, and other processors. OpenCL includes a language (based on C99) for writing kernels (functions that execute on OpenCL devices) and APIs that are used to define and control the platforms. OpenCL provides parallel computing using task-based and data-based parallelism.
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