The generic methodology is implemented in gpu-vote, a framework which can be used to accelerate a range of voting algorithms on a GPU. With gpu- vote two ...

This methodology is used in gpu-vote, a framework to accelerate current and future voting algorithms on a GPU without significant programming effort. We ...

To predict the execution time of gpu-vote, we also give a model based on the parameters of the voting algorithm, such as input size and number of bins. This ...

This work describes a transformation to merge categories which enables gpu-vote to have a single implementation for all voting algorithms, ...

Nov 21, 2024 · This methodology is used in GPU-Vote, a framework to accelerate current and future voting algorithms on a GPU without significant programming ...

May 8, 2024 · GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU. ... Fast Hough Transform on GPUs: Exploration of Algorithm Trade-Offs.

Publications in 2012. Euro-Par '12. GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU G.J. van den Braak, C. Nugteren, B. Mesman, H. Corporaal.

GPU-vote: A framework for accelerating voting algorithms on GPU. GJ Van Den Braak, C Nugteren, B Mesman, H Corporaal. Euro-Par 2012 Parallel Processing: 18th ...

This paper explores multiple ways to reduce those conflicts for voting algorithms and especially for Connected Component Analysis. We show that our new ...

Dec 3, 2015 · [2] GPU-Vote: A Framework for Accelerating. Voting Algorithms on GPU. Page 8. Scratchpad memory layout. • Scratchpad memory. • Divided in 32 ...