Results 51 to 60 of about 13,771 (177)
ORTHORECTIFICATION BY USING GPGPU METHOD [PDF]
Thanks to the nature of the graphics processing, the newly released products offer highly parallel processing units with high-memory bandwidth and computational power of more than teraflops per second.
H. Sahin, S. Kulur
doaj +1 more source
FDTD/K-DWM simulation of 3D room acoustics on general purpose graphics hardware using compute unified device architecture (CUDA) [PDF]
The growing demand for reliable prediction of sound fields in rooms have resulted in adaptation of various approaches for physical modeling, including the Finite Difference Time Domain (FDTD) and the Digital Waveguide Mesh (DWM).
Fazenda, BM, Sheaffer, J
core
Context-Free Path Querying by Matrix Multiplication
Graph data models are widely used in many areas, for example, bioinformatics, graph databases. In these areas, it is often required to process queries for large graphs. Some of the most common graph queries are navigational queries.
Azimov, Rustam, Grigorev, Semyon
core +1 more source
Scaling Invariant Generation Using State Space Embeddings and GPU Streaming
ABSTRACT The formal verification of railway control systems can ensure the safety of complex scheme plans through techniques such as induction‐based model checking. While inductive verification performs well in complex settings, it often produces false positives due to its consideration of transitions from unreachable safe states to unsafe states ...
Ben Lloyd‐Roberts +4 more
wiley +1 more source
Fast and Accurate Determinant Calculation Method for Large Integer Matrix Based on GPGPU [PDF]
In the conventional serial calculation method,there are some problems such as frequent elementary transformation in the solution method and large-scale calculation of high-order numerical determinants.Therefore,a fast and accurate calculation method of ...
WEI Jianjun,CHEN Liangyu
doaj +1 more source
Running applications on a hybrid cluster [PDF]
A hybrid cluster implies the use of computational devices with radically different architectures. Usually, these are conventional CPU architecture (e.g. x86_64) and GPU architecture (e. g. NVIDIA CUDA).
A. V. Bogdanov +3 more
doaj +1 more source
GPU-powered Simulation Methodologies for Biological Systems
The study of biological systems witnessed a pervasive cross-fertilization between experimental investigation and computational methods. This gave rise to the development of new methodologies, able to tackle the complexity of biological systems in a ...
Besozzi, Daniela +5 more
core +2 more sources
Abstract A counter‐diffusion reactive transport experiment was conducted to study calcium carbonate (CaCO3) nucleation and growth in porous media, monitored in situ using synchrotron‐based techniques and modeled marrying the Classical and Non‐Classical Nucleation Theory in a machine learning‐enhanced 3D Lattice Boltzmann Model.
Haonan Peng +5 more
wiley +1 more source
Real-time traffic sign recognition based on a general purpose GPU and deep-learning. [PDF]
We present a General Purpose Graphics Processing Unit (GPGPU) based real-time traffic sign detection and recognition method that is robust against illumination changes.
Kwangyong Lim +3 more
doaj +1 more source
Ice Simulation Using GPGPU [PDF]
Simulation of the behaviour of a ship operating in pack ice is a computationally intensive process to which General Purpose Computing on Graphical Processing Units (GPGPU) can be applied. In this paper we present an efficient parallel implementation of such a simulator developed using the NVIDIA Compute Unified Device Architecture (CUDA).
Shadi Alawneh, Dennis Peters
openaire +1 more source

