Spatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape
The parallel processing and distributed GIServices provide an efficient approach to address
the geocomputation challenges in biodiversity modeling. Using the widely applied Spatial …
the geocomputation challenges in biodiversity modeling. Using the widely applied Spatial …
[PDF][PDF] Cuda architecture analysis as the driving force Of parallel calculation organization
Advancements in the Internet and cloud computing have led to a wealth of multimedia data,
and processing of these data has become more complex and computationally intensive …
and processing of these data has become more complex and computationally intensive …
Extended anisotropic diffusion profiles in GPU for hyperspectral imagery
Á Acción, F Argüello, DB Heras - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
Morphological profiles are a common approach for extracting spatial information from
remote sensing hyperspectral images by extracting structural features. Other profiles can be …
remote sensing hyperspectral images by extracting structural features. Other profiles can be …
A Easy to Use Generalized Template to Support Development of GPU Algorithms
F Saeed, M Haseeb - High-Performance Algorithms for Mass Spectrometry …, 2022 - Springer
Computational techniques have taken a new meaning for scientific inquiry in biology
especially after the introduction of high-throughput experimental techniques. These …
especially after the introduction of high-throughput experimental techniques. These …
A dynamic acceleration method for remote sensing image processing based on CUDA
X Zuo, Z Zhang, B Qiao, J Tian, L Zhou… - … Conference on Simulation …, 2020 - Springer
The incredible increase in the volume of remote sensing data has made the concept of
Remote Sensing as Big Data reality with recent technological developments. Remote …
Remote Sensing as Big Data reality with recent technological developments. Remote …
Adaptive and transparent task scheduling of GPU‐powered clusters
Q Ci, H Li, S Yang, J Gao - Concurrency and Computation …, 2022 - Wiley Online Library
GPGPU‐powered supercomputers are vital for various science and engineering
applications. On each cluster node, the GPU works as a coprocessor of the CPU, and the …
applications. On each cluster node, the GPU works as a coprocessor of the CPU, and the …
Fusión de imágenes satelitales usando la transformada de Brovey y enriquecimiento espectral sobre computación heterogénea CPU/GPU
AOR Rodríguez, NEV Parra… - … e Innovación en …, 2021 - revistas.unisimon.edu.co
La fusión de imágenes satelitales proporciona un contexto potencialmente aplicable en el
desarrollo de proyectos en diversos campos como agricultura, hidrología, medio ambiente …
desarrollo de proyectos en diversos campos como agricultura, hidrología, medio ambiente …
[PDF][PDF] A review on GPU programming strategies and recent trends in GPU computing
N Chandran, D Gangodka… - Journal of Graphic …, 2018 - journal.riverpublishers.com
A Review on GPU Programming Strategies and Recent Trends in GPU Computing Page 1
Journal of Graphic Era University Vol. 6, Issue 2, 207-223, 2018 ISSN: 0975-1416 (Print) …
Journal of Graphic Era University Vol. 6, Issue 2, 207-223, 2018 ISSN: 0975-1416 (Print) …
Paralelização de Algoritmos de Processamento de Imagem em Contexto de Vinha
FAS Azevedo - 2018 - search.proquest.com
O crescimento da população mundial e a necessidade de haver uma agricultura eficiente e
boa para o ambiente, exige uma agricultura de precisão, inteligente e com processos mais …
boa para o ambiente, exige uma agricultura de precisão, inteligente e com processos mais …