Jul 8, 2022 · We propose a highly efficient, parallelized version of Corner Sort, implemented using CUDA framework. Utilizing the thousands of cores in a GPU, ...
Jul 13, 2022 · ABSTRACT. Due to advancements in hardware capabilities and computation power, multi-objective optimization has recently been used in many.
They can be parallelized on GPUs easily to get better performance than other sorting algorithms. We parallelized these sorting algorithms on many core GPUs ...
Parallelization of corner sort with CUDA for many-objective optimization. V Bharti, A Singhal, A Saxena, B Biswas, KK Shukla. Proceedings of the Genetic and ...
Mar 9, 2017 · I was given an assignment, to parallelize Bubble Sort and implement it using CUDA. I don't see how bubble sort could possibly be parallelized. I ...
Missing: corner | Show results with:corner
Corner Sort has the same time complexity as other common algorithms but works better than most previous algorithms as it saves the number of comparisons made ...
Bitonic sort is based on repeatedly merging two bitonic sequences to form a larger bitonic sequence and takes only O(Nlog2N) time steps.
Missing: corner | Show results with:corner
This Best Practices Guide is a manual to help developers obtain the best performance from NVIDIA CUDA GPUs.
Pareto-based multi-objective evolutionary algorithms use non-dominated sorting as an intermediate step. These algorithms are easy to parallelize as various ...
We proposed a new parallel PSO algorithm based on the GPU and CUDA. It uses a combination of coarse and fine grain to achieve global parallelism.
Missing: corner | Show results with:corner