Results 21 to 30 of about 401,991 (182)

Optimized Real-Time MUSIC Algorithm With CPU-GPU Architecture

IEEE Access, 2021
Direction-of-arrival (DOA) estimation algorithm for uniform planar arrays has been applied in many fields. The multiple signal classification (MUSIC) algorithm has obvious advantage in high-resolution signal source estimation scenarios.
Qinghua Huang, Naida Lu
doaj   +1 more source

GPU-HADVPPM4HIP V1.0: using the heterogeneous-compute interface for portability (HIP) to speed up the piecewise parabolic method in the CAMx (v6.10) air quality model on China's domestic GPU-like accelerator [PDF]

Geoscientific Model Development
Graphics processing units (GPUs) are becoming a compelling acceleration strategy for geoscience numerical models due to their powerful computing performance.
K. Cao, Q. Wu, Q. Wu, L. Wang, H. Guo, N. Wang, H. Cheng, H. Cheng, X. Tang, D. Li, D. Li, L. Liu, D. Li, H. Wu, L. Wang, L. Wang   +15 more
doaj   +1 more source

SAR Target CFAR Detection Via GPU Parallel Operation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
The constant false alarm rate with convolution and pooling (CP-CFAR) method, which can improve the detection efficiency via GPU parallel acceleration in the airborne synthetic aperture radar (SAR) images, is proposed in this paper.
Zongyong Cui, Hongbin Quan, Zongjie Cao, Shengping Xu, Chunmei Ding, Junjie Wu   +5 more
doaj   +1 more source

Accelerating NTRU Encryption with Graphics Processing Units [PDF]

International Journal of Networked and Distributed Computing (IJNDC), 2014
Lattice based cryptography is attractive for its quantum computing resistance and efficient encryption/ decryption process. However, the Big Data issue has perplexed most lattice based cryptographic systems since the overall processing is slowed down too
Tianyu Bai, Spencer Davis, Juanjuan Li, Ying Gu, Hai Jiang   +4 more
doaj   +1 more source

Computationally Efficient Neural Rendering for Generator Adversarial Networks Using a Multi-GPU Cluster in a Cloud Environment

IEEE Access, 2023
Due to its fantastic performance in the quality of the images created, Generator Adversarial Networks have recently become a viable option for image reconstruction. The main problem with employing GAN is how expensive the computations are.
Aswathy Ravikumar, Harini Sriraman
doaj   +1 more source

Lightweight GPU-Accelerated Parallel Processing of the SCHISM Model Using CUDA Fortran

Journal of Marine Science and Engineering
The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency is constrained by the substantial resources it requires.
Hongchun Zhang, Qian Cao, Changmao Wu, Guangjun Xu, Yuli Liu, Xingru Feng, Meibing Jin, Changming Dong   +7 more
doaj   +1 more source

GPU-Based Acceleration for Interior Tomography

IEEE Access, 2014
The compressive sensing (CS) theory shows that real signals can be exactly recovered from very few samplings. Inspired by the CS theory, the interior problem in computed tomography is proved uniquely solvable by minimizing the region-of-interest's total ...
Rui Liu, Yan Luo, Hengyong Yu
doaj   +1 more source

GPU-accelerated compressive holography

Optics Express, 2016
In this paper, we show fast signal reconstruction for compressive holography using a graphics processing unit (GPU). We implemented a fast iterative shrinkage-thresholding algorithm on a GPU to solve the ℓ1 and total variation (TV) regularized problems that are typically used in compressive holography.
Yutaka, Endo, Tomoyoshi, Shimobaba, Takashi, Kakue, Tomoyoshi, Ito   +3 more
openaire   +2 more sources

GPU Accelerated Smith-Waterman [PDF]

, 2006
We present a novel hardware implementation of the double affine Smith-Waterman (DASW) algorithm, which uses dynamic programming to compare and align genomic sequences such as DNA and proteins. We implement DASW on a commodity graphics card, taking advantage of the general purpose programmability of the graphics processing unit to leverage its cheap ...
Liu, Y., Huang, W., Johnson, J., Vaidya, S.   +3 more
openaire   +2 more sources

Design of GPU Network-on-Chip for Real-Time Video Super-Resolution Reconstruction

Micromachines, 2023
Deep learning has a better output quality compared with traditional algorithms for video super-resolution (SR), but the network model needs large resources and has poor real-time performance.
Zhiyong Peng, Jiang Du, Yulong Qiao
doaj   +1 more source