scholarly journals High-Throughput Characterization of Porous Materials Using Graphics Processing Units

2012 ◽  
Vol 8 (5) ◽  
pp. 1684-1693 ◽  
Author(s):  
Jihan Kim ◽  
Richard L. Martin ◽  
Oliver Rübel ◽  
Maciej Haranczyk ◽  
Berend Smit
Keyword(s):  
Porous Materials ◽  
High Throughput ◽  
Graphics Processing Units ◽  
Graphics Processing

G-PAS 2.0 – an improved version of protein alignment tool with an efficient backtracking routine on multiple GPUs

2012 ◽  
Vol 60 (3) ◽  
pp. 491-494 ◽  
Author(s):  
W. Frohmberg ◽  
M. Kierzynka ◽  
J. Blazewicz ◽  
P. Wojciechowski
Keyword(s):  
High Throughput ◽  
Graphics Processing Units ◽  
Pairwise Alignment ◽  
Protein Alignment ◽  
Multiple Gpus ◽  
The Past ◽  
Highly Efficient ◽  
Computational Architecture ◽  
Alignment Tool ◽  
Graphics Processing

Abstract Several highly efficient alignment tools have been released over the past few years, including those taking advantage of GPUs (Graphics Processing Units). G-PAS (GPU-based Pairwise Alignment Software) was one of them, however, with a couple of interesting features that made it unique. Nevertheless, in order to adapt it to a new computational architecture some changes had to be introduced. In this paper we present G-PAS 2.0 - a new version of the software for performing high-throughput alignment. Results show, that the new version is faster nearly by a fourth on the same hardware, reaching over 20 GCUPS (Giga Cell Updates Per Second).

High-throughput Ant Colony Optimization on graphics processing units

2018 ◽  
Vol 113 ◽  
pp. 261-274 ◽  
Author(s):  
José M. Cecilia ◽  
Antonio Llanes ◽  
José L. Abellán ◽  
Juan Gómez-Luna ◽  
Li-Wen Chang ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
High Throughput ◽  
Graphics Processing Units ◽  
Ant Colony ◽  
Graphics Processing

scholarly journals Differences in Contrast Reproduction between Electronic Devices for Visual Assessment: Clinical Implications

Technologies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 68
Author(s):  
Ainhoa Molina-Martín ◽  
David P. Piñero ◽  
María B. Coco-Martín ◽  
Luis Leal-Vega ◽  
Dolores de Fez
Keyword(s):  
Coefficient Of Variation ◽  
Graphics Processing Units ◽  
Electronic Devices ◽  
Visual Assessment ◽  
Easy Access ◽  
Visual Evaluation ◽  
Correct Reproduction ◽  
Graphics Processing ◽  
Vast Range

The easy access to electronic devices for users has resulted in the development of a vast range of programs and applications for visual evaluation and diagnosis that can be downloaded to any device. Some of them are based on tasks and stimuli that depend on luminance. The aim of the present study was to evaluate differences in luminance reproduction between electronic devices and their implications for contrast reproduction. A total of 20 Galaxy Tab A devices with 8-bit graphics processing units were evaluated. Characterization of every screen was performed obtaining the response curve for the achromatic stimulus. Mean, maximum and minimum luminance, standard deviation and coefficient of variation were obtained to assess differences between devices. Variation of luminance with increasing digital level was observed in all devices following a gamma distribution. Comparison between devices for mean results showed that some of them differed by as much as 45 cd/m2. The coefficient of variation varied from ~5 to 9%. Mean percentage of differences in luminance between devices reached 30%. In conclusion, differences in luminance reproduction between devices were present, even considering devices from the same manufacturing batch. It cannot be assumed that the characterization of one device can be extrapolated to other devices. Every device used for research purposes should be individually characterized to ensure the correct reproduction. For clinical purposes, limitations should be considered by visual specialists.

scholarly journals High-throughput sequence alignment using Graphics Processing Units

2007 ◽  
Vol 8 (1) ◽  
Author(s):  
Michael C Schatz ◽  
Cole Trapnell ◽  
Arthur L Delcher ◽  
Amitabh Varshney
Keyword(s):  
Sequence Alignment ◽  
High Throughput ◽  
Graphics Processing Units ◽  
Graphics Processing

scholarly journals Optical diagnostics of a single evaporating droplet using fast parallel computing on graphics processing units

2016 ◽  
Vol 24 (3) ◽  
Author(s):  
D. Jakubczyk ◽  
S. Migacz ◽  
G. Derkachov ◽  
M. Woźniak ◽  
J. Archer ◽  
...  
Keyword(s):  
Graphics Processing Units ◽  
Mie Scattering ◽  
Lookup Table ◽  
Computing Technology ◽  
Improve Performance ◽  
Scattering Problems ◽  
C Language ◽  
Graphics Processing ◽  
Mie Scattering Theory

AbstractWe report on the first application of the graphics processing units (GPUs) accelerated computing technology to improve performance of numerical methods used for the optical characterization of evaporating microdroplets. Single microdroplets of various liquids with different volatility and molecular weight (glycerine, glycols, water, etc.), as well as mixtures of liquids and diverse suspensions evaporate inside the electrodynamic trap under the chosen temperature and composition of atmosphere. The series of scattering patterns recorded from the evaporating microdroplets are processed by fitting complete Mie theory predictions with gradientless lookup table method. We showed that computations on GPUs can be effectively applied to inverse scattering problems. In particular, our technique accelerated calculations of the Mie scattering theory on a single-core processor in a Matlab environment over 800 times and almost 100 times comparing to the corresponding code in C language. Additionally, we overcame problems of the time-consuming data post-processing when some of the parameters (particularly the refractive index) of an investigated liquid are uncertain. Our program allows us to track the parameters characterizing the evaporating droplet nearly simultaneously with the progress of evaporation.

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