Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm
We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolation algorithm, the tiled version that takes advantage of shared memory and the CDP version that is implemented using CUDA Dynamic Parallelism (CDP). Then we evaluate the power of GPU acceleration for...
Saved in:
Main Author: | Gang Mei |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/171574 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Efficient GPU-Accelerated Algorithm for Solving Dynamic Response of Fluid-Saturated Porous Media
by: Wancang Lin, et al.
Published: (2025-01-01) -
GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform
by: Ronglin Jiang, et al.
Published: (2014-01-01) -
GPU Acceleration of Melody Accurate Matching in Query-by-Humming
by: Limin Xiao, et al.
Published: (2014-01-01) -
Implementation of Membrane Algorithms on GPU
by: Xingyi Zhang, et al.
Published: (2014-01-01) -
Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration
by: Leonhard Hölscher, et al.
Published: (2025-01-01)