CUDA
2 articles · search the full text for this term
-
A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
-
A Parallel Unit Encoding Stage for BCWT using GPGPU
Abstract: AbstractA backward coding of wavelet trees (BCWT) algorithm begins the coding process from the lower-level to the higher-level of the wavelet tree. While processing, it builds up the maximum quantization levels of the descendant (MQD) map and maximum quantization level (MQL) by the support of the wavelet coefficients of the corresponding image. In the processes of making the serial encoding stages into parallel stages, primarily we deal with a prominent …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 13–23 Read article