Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   describe a successful effort to accelerate the two-point angular correlation function---a basic statistics tool used in the field of cosmology to characterize the distribution of the matter and energy in the Universe---by using an NVIDIA GPU-based system.  demonstrate the use of GPUs to accelerate the calculation of histograms of angular separations for large datasets as  achieve over two orders of magnitude performance improvement over conventional microprocessors.  discuss the specific implementation details of GPU kernels for computing bin assignments and updating histogram bins.  also describe an MPI-based GPU-accelerated two-point correlation application that runs on a compute cluster with multiple GPUs. Finally,  discuss specific lessons  learned in using GPUs to implement this class of algorithms.
['Dylan W. Roeh', 'Volodymyr V. Kindratenko', 'Robert J. Brunner']
I am writing a research paper on a idea Accelerating cosmological data analysis with graphics processors
[{"from": "human", "value": "I am writing a research paper on a idea Accelerating cosmological data analysis with graphics processors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   describe a successful effort to accelerate the two-point angular correlation function---a basic statistics tool used in the field of cosmology to characterize the distribution of the matter and energy in the Universe---by using an NVIDIA GPU-based system.  demonstrate the use of GPUs to accelerate the calculation of histograms of angular separations for large datasets as  achieve over two orders of magnitude performance improvement over conventional microprocessors.  discuss the specific implementation details of GPU kernels for computing bin assignments and updating histogram bins.  also describe an MPI-based GPU-accelerated two-point correlation application that runs on a compute cluster with multiple GPUs. Finally,  discuss specific lessons  learned in using GPUs to implement this class of algorithms."}]