Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies GWAS is an important but time consuming operation. Consequently, GPUs have already been used to accelerate these studies, reducing the runtime for moderately-sized datasets to less than 1 hour. Hover, single-GPU approaches cannot perform large-scale GWAS in reasonable time. In this work  present multiEpistSearch, a tool to detect epistasis that works on GPU clusters. While CUDA is used for parallelization within each GPU, the workload distribution among GPUs is performed with Unified Parallel C++ UPC++, a novel extension of C++ that follows the Partitioned Global Address Space PGAS model. multiEpistSearch is able to analyze large-scale datasets with 5 million SNPs from 10,000 individuals in less than 3 hours using 24 NVIDIA GTX Titans.
['Jorge Gonz$#225', 'lez-Domínguez', 'Jan Christian Kässens', 'Lars Wienbrandt', 'Bertil Schmidt']
I am writing a research paper on a idea Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model
[{"from": "human", "value": "I am writing a research paper on a idea Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies GWAS is an important but time consuming operation. Consequently, GPUs have already been used to accelerate these studies, reducing the runtime for moderately-sized datasets to less than 1 hour. Hover, single-GPU approaches cannot perform large-scale GWAS in reasonable time. In this work  present multiEpistSearch, a tool to detect epistasis that works on GPU clusters. While CUDA is used for parallelization within each GPU, the workload distribution among GPUs is performed with Unified Parallel C++ UPC++, a novel extension of C++ that follows the Partitioned Global Address Space PGAS model. multiEpistSearch is able to analyze large-scale datasets with 5 million SNPs from 10,000 individuals in less than 3 hours using 24 NVIDIA GTX Titans."}]