Abstract
It is vital to graphically visualize and deal with huge data sets in oil production. Fast real time visualization assists the decision maker in the process of history matching and recovery of hydrocarbon for the oil reservoir. We provide different parallelization techniques of intensive operations for a 3-D (three dimensions) oil reservoir data visualization tool. Our technique of MPI coarse-grain data decomposition present 38X speedup compared to 20X speedup using CUDA implementation. Combined MPI and Multi-threaded, on average gives 284X speedup over serial implementation while CUDA maximum speedup achieved is 180X with even smaller data sets.