Results 21 to 30 of about 55,131 (288)
Accelerating advanced MRI reconstructions on GPUs [PDF]
Journal of Parallel and Distributed Computing, 2008 Computational acceleration on graphics processing units (GPUs) can make advanced magnetic resonance imaging (MRI) reconstruction algorithms attractive in clinical settings, thereby improving the quality of MR images across a broad spectrum of applications. This paper describes the acceleration of such an algorithm on NVIDIA's Quadro FX 5600.
S S, Stone +5 more
openaire +2 more sources
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 +5 more
doaj +1 more source
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application [PDF]
, 2015 'How can GPU acceleration be obtained as a service in a cluster?' This question has become increasingly significant due to the inefficiency of installing GPUs on all nodes of a cluster.
Prades, Javier +3 more
core +2 more sources
GPU-accelerated adjoint algorithmic differentiation
Computer Physics Communications, 2016 Published by North Holland Publ.
Gremse, Felix +4 more
openaire +3 more sources
GPU Accelerated RNA Folding Algorithm [PDF]
, 2011 In this chapter, we present an implementation of the main kernel in the widely used RNA folding package Unafold. Its key computation is a dynamic programming algorithm with complex dependency patterns, making it an a priori bad match for GPU computing.
Lavenier, Dominique +2 more
openaire +2 more sources
GPU accelerated particle visualization with Splotch [PDF]
Astronomy and Computing, 2014 Splotch is a rendering algorithm for exploration and visual discovery in particle-based datasets coming from astronomical observations or numerical simulations. The strengths of the approach are production of high quality imagery and support for very large-scale datasets through an effective mix of the OpenMP and MPI parallel programming paradigms ...
Rivi, M. +4 more
openaire +5 more sources
FUNWAVE‐GPU: Multiple‐GPU Acceleration of a Boussinesq‐Type Wave Model
Journal of Advances in Modeling Earth Systems, 2020 This paper documents development of a multiple‐Graphics Processing Unit (GPU) version of FUNWAVE‐Total Variation Diminishing (TVD), an open‐source model for solving the fully nonlinear Boussinesq wave equations using a high‐order TVD solver.
Ye Yuan +3 more
doaj +1 more source
GPU acceleration for statistical gene classification [PDF]
, 2010 The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms.
Benso, Alfredo +3 more
core +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 +4 more
doaj +1 more source
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