Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms

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Autore principale: Eduardo Romero-Vivas
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2013
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author Eduardo Romero-Vivas
author_facet Eduardo Romero-Vivas
contents Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms Eduardo Romero-Vivas Fernando D. Von Borstel Isaac Villa-Medina Computación real Simulation time crowds rendering and animation We discuss several steps in the process of simulating and visualizing large and varied crowds in real time for consumer-level computers and graphic cards (GPUs). Animating varied crowds using a diversity of models and animations (assets) is complex and costly. One has to use models that are expensive if bought, take a long time to model, and consume too much memory and computing resources. We discuss methods for simulating, generating, animating and rendering crowds of varied aspect and a diversity of behaviors. Efficient simulations run in low cost systems because we use the power of modern programmable GPUs. One can apply similar technology using GPU clusters and HPC for large scale problems. Such systems scale up almost linearly by using multiple nodes. One must combine parallel simulation and parallel rendering in the cluster with interaction and final rendering in lighter clients. However, in view of the latest developments such as the new family of mobile multicore chipsets and GPU-based cloud gaming platforms, the pieces are almost there for this kind of architecture to work. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61528316007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.17
format Artículo científico
id redalyc_61528316007
institution Redalyc
language en
publishDate 2013
publisher Instituto Politécnico Nacional
spellingShingle Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms
Eduardo Romero-Vivas
Computación
real
Simulation
time crowds
rendering and animation
Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms Eduardo Romero-Vivas Fernando D. Von Borstel Isaac Villa-Medina Computación real Simulation time crowds rendering and animation We discuss several steps in the process of simulating and visualizing large and varied crowds in real time for consumer-level computers and graphic cards (GPUs). Animating varied crowds using a diversity of models and animations (assets) is complex and costly. One has to use models that are expensive if bought, take a long time to model, and consume too much memory and computing resources. We discuss methods for simulating, generating, animating and rendering crowds of varied aspect and a diversity of behaviors. Efficient simulations run in low cost systems because we use the power of modern programmable GPUs. One can apply similar technology using GPU clusters and HPC for large scale problems. Such systems scale up almost linearly by using multiple nodes. One must combine parallel simulation and parallel rendering in the cluster with interaction and final rendering in lighter clients. However, in view of the latest developments such as the new family of mobile multicore chipsets and GPU-based cloud gaming platforms, the pieces are almost there for this kind of architecture to work. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61528316007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.17
title Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms
topic Computación
real
Simulation
time crowds
rendering and animation
url https://www.redalyc.org/articulo.oa?id=61528316007