Efficient GPU-based electromagnetic transient simulation for power systems with thread-oriented transformation and automatic code generation
Electromagnetic transients (EMT) simulation is the most accurate and intensive computation
for power systems. Past research has shown the potential of accelerating such simulations …
for power systems. Past research has shown the potential of accelerating such simulations …
Interleaving and lock-step semantics for analysis and verification of GPU kernels
P Collingbourne, AF Donaldson, J Ketema… - European Symposium …, 2013 - Springer
We study semantics of GPU kernels—the parallel programs that run on Graphics Processing
Units (GPUs). We provide a novel lock-step execution semantics for GPU kernels …
Units (GPUs). We provide a novel lock-step execution semantics for GPU kernels …
Adaptive image watermarking algorithm based on an efficient perceptual mapping model
Watermark imperceptibility is a significant requirement for keeping watermarked images
looking perceptually similar to the original ones. Effective watermark imperceptibility …
looking perceptually similar to the original ones. Effective watermark imperceptibility …
Online real-time trajectory analysis based on adaptive time interval clustering algorithm
J Li, H Jiao, J Wang, Z Liu, J Wu - Big Data Mining and …, 2020 - ieeexplore.ieee.org
With the development of Chinese international trade, real-time processing systems based on
ship trajectory have been used to cluster trajectory in real-time, so that the hot zone …
ship trajectory have been used to cluster trajectory in real-time, so that the hot zone …
Large-scale high-dimensional nearest neighbor search using flash memory with in-store processing
Modern datasets of importance such as images, videos, protein sequences or text, usually
contain very high dimensional information from the search point of view. Nearest neighbor …
contain very high dimensional information from the search point of view. Nearest neighbor …
Speeding up spatiotemporal feature extraction using GPU
Spatiotemporal feature extraction algorithms are widely used in many image processing and
computer vision applications. They are favored because of their robust generated features …
computer vision applications. They are favored because of their robust generated features …
A LoCATe‐based visual place recognition system for mobile robotics and GPGPUs
L Bampis, S Chatzichristofis… - Concurrency and …, 2018 - Wiley Online Library
In this paper, a novel visual Place Recognition approach is evaluated based on a visual
vocabulary of the Color and Edge Directivity Descriptor (CEDD) to address the loop closure …
vocabulary of the Color and Edge Directivity Descriptor (CEDD) to address the loop closure …
Progressive image retrieval with quality guarantee under MapReduce framework
Because of the diversity and popularity of image acquisition techniques, data-driven
methods for image analysis and editing have become popular. However, the explosive …
methods for image analysis and editing have become popular. However, the explosive …
A unified model for accelerating unsupervised iterative re‐ranking algorithms
F Pisani, L Pascotti Valem… - Concurrency and …, 2020 - Wiley Online Library
Despite the continuous advances in image retrieval technologies, performing effective and
efficient content‐based searches remains a challenging task. Unsupervised iterative re …
efficient content‐based searches remains a challenging task. Unsupervised iterative re …
Image re-ranking acceleration on GPUs
Huge image collections are becoming available lately. In this scenario, the use of Content-
Based Image Retrieval (CBIR) systems has emerged as a promising approach to support …
Based Image Retrieval (CBIR) systems has emerged as a promising approach to support …