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Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
[chapter]
2009
Lecture Notes in Computer Science
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We have developed a system for the automatic generation of computer vision algorithms at interactive frame rates using GPU accelerated image processing. ...
This is often a tedious process which also involves testing the algorithm with different lighting conditions or at different sites. ...
Current PCs are equipped with powerful graphics hardware which can be used to accelerate the image processing operations. ...
doi:10.1007/978-3-642-04697-1_34
fatcat:ck5dowmop5hhvhzuw4ja2lr4f4
Implementation Method of Genetic Algorithms to the CUDA Environment using Data Parallelization
CUDA 環境におけるデータ並列化を用いた遺伝的アルゴリズムの実装手法
2011
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
CUDA 環境におけるデータ並列化を用いた遺伝的アルゴリズムの実装手法
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on GPU Graphics Cards
Population Parallel GP on the G80 GPU
Solving Quadratic Assign
ment Problems by Genetic Algorithms with GPU
Computation: A Case Study
GPU based Acceleration
of the Genetic ...
Algorithm
An Analytical Study of
GPU Computation for Solving QAPs by Parallel
Evolutionary Computaion with Independent Run
Implementation of a Simple Genetic Algorithm within
the CUDA Architecture ...
doi:10.3156/jsoft.23.18
fatcat:4u76nupd5rhajch5463xcuhdhu
Evolving Object Detectors with a GPU Accelerated Vision System
[chapter]
2010
Lecture Notes in Computer Science
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Using GPU processing, it is now possible to develop an evolutionary vision system working at interactive frame rates. ...
With this contribution, we investigate, which image processing operators are most useful for object detection. ...
However, the graphics processing unit (GPU) of a PC can be used for speeding up image processing tasks [7, 8] . ...
doi:10.1007/978-3-642-15323-5_10
fatcat:ynbmlcza7readpctwczckehcb4
GPGPU for Difficult Black-box Problems
2015
Procedia Computer Science
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The actual solution of the problem is shown based on evolutionary and memetic algorithms accelerated on GPGPU. ...
In this paper, efficient use of a hardware accelerator to implement dedicated solvers for such problems is discussed and studied based on an example of Golomb Ruler problem. ...
Implementation of GPGPU for evolutionary solving of Golomb Ruler The general purpose graphic cards are commonly used as computing accelerators in many scientific problems. ...
doi:10.1016/j.procs.2015.05.249
fatcat:rd6xn7xpinbcxpj75usayumm3i
Parallel Architectures for Improving the Performance of a GA Based Trading System
[chapter]
2012
Studies in Computational Intelligence
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The first uses a Grid Volunteer System based on BOINC and the second one takes advantage of a Graphic Processing Unit implementation. ...
Movements in stock markets are continuous throughout each day, which requires trading systems must be supported by more powerful engines, since the amount of data to process grows, while the response time ...
This process has accelerated recently with the emergence of new graphics processing units (GPUs) working on massively parallel calculations • the tremendous expansion of the globalization process symbolized ...
doi:10.1007/978-3-642-28789-3_9
fatcat:ysag2y57abdxbgmv7pc4wxkmhu
Fast Genetic Programming and Artificial Developmental Systems on GPUs
2007
21st International Symposium on High Performance Computing Systems and Applications (HPCS'07)
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In this paper we demonstrate the use of the Graphics Processing Unit (GPU) to accelerate Evolutionary Computation applications, in particular Genetic Programming approaches. ...
We show that it is possible to get speed increases of several hundred times over a typical CPU implementation, catapulting GPU processing for these applications into the realm of HPC. ...
The Architecture of Graphics Processing Units Graphics processors are specialized stream processors used to render graphics. ...
doi:10.1109/hpcs.2007.17
dblp:conf/hpcs/HardingB07
fatcat:yfrxmhug6fhzlcgflangrfkqaq
Acceleration of Genetic Algorithms for Sudoku Solution on Many-Core Processors
[chapter]
2013
Natural Computing Series
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application of evolutionary computation. ...
The genetic manipulation is also accelerated by the parallel processing of threads. ...
Methods for speeding up evolutionary computations through implementations on graphics processing units (GPU) may be also effective. ...
doi:10.1007/978-3-642-37959-8_19
fatcat:czz75owyq5bpzbrnefgteg36fm
A Real-Time Evolutionary Object Recognition System
[chapter]
2009
Lecture Notes in Computer Science
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We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided through user interaction. ...
Real-time performance is achieved through the use of the GPU for image processing operations. ...
We have used the graphics processing unit (GPU) to accelerate the image processing operators. Fung et al. ...
doi:10.1007/978-3-642-01181-8_23
fatcat:v3my4ph7djerrlwaqg72wbp3ji
MGUPGMA: A Fast UPGMA Algorithm With Multiple Graphics Processing Units Using NCCL
2017
Evolutionary Bioinformatics
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GPU indicates Graphics Processing Unit. ...
Recently, Graphics Processing Units (GPUs), which possess thousands of small but efficient cores, have become an important role to accelerate the computational applications in many scientific domains and ...
doi:10.1177/1176934317734220
pmid:29051701
pmcid:PMC5637958
fatcat:2x26h7bo7bgqbemolycvkntwza
GPU-accelerated evolutionary design of the complete exchange communication on wormhole networks
2014
Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14
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In this paper, we propose a revised implementation accelerated by a single Graphic Processing Unit (GPU) delivering speed-up of 5 compared to a quad-core CPU. ...
Unfortunately, the execution time associated with the evolution process raises up to tens of hours, even when being run on a multi-core processor. ...
GPU Architecture and Programming Graphics Processing Units (GPUs) are massively parallel accelerators primarily targeted on speeding up the computer graphics with millions of independent polygons and pixels ...
doi:10.1145/2576768.2598315
dblp:conf/gecco/JarosT14
fatcat:feoprmdpgndrzpoqgw7g6ujo5a
Parallel hybrid evolutionary algorithms on GPU
2010
IEEE Congress on Evolutionary Computation
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This paper presents a new methodology to design and implement efficiently and effectively hybrid evolutionary algorithms on GPU accelerators. ...
Therefore, the use of GPUbased parallel computing is required as a complementary way to speed up the search. ...
With the arrival of the general-purpose computation on graphics processings units (GPGPU) paradigm, EAs on GPU have generated a growing interest. Many works T.V. Luong, N. Melab and E-G. ...
doi:10.1109/cec.2010.5586403
dblp:conf/cec/LuongMT10
fatcat:d5f3jph2kza4nc2xsqfqvw2pny
Accelerating Wright-Fisher Forward Simulations on the Graphics Processing Unit
[article]
2016
bioRxiv
pre-print
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The rise of modern Graphics Processing Units (GPUs) and programming languages designed to leverage the inherent parallel nature of these processors have allowed researchers to dramatically speed up many ...
template for future research into accelerating computation in evolution. ...
Introduction The Graphics Processing Unit (GPU) is commonplace in today's consumer and workstation computers and provides the main computational throughput of the modern supercomputer. ...
doi:10.1101/042622
fatcat:y3hno2y5kvembdduliqi6jhm5q
Hardware Acceleration for CGP: Graphics Processing Units
[chapter]
2011
Natural Computing Series
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Graphic Processing Units (GPUs) are fast, highly parallel units. In addition to processing 3D graphics, modern GPUs can be programmed for more general-purpose computation. ...
The Architecture of Graphics Processing Units Graphics processors are specialized stream processors used to render graphics. ...
Processing Units
Hardware Acceleration for CGP: Graphics Processing Units
Hardware Acceleration for CGP: Graphics Processing Units
Hardware Acceleration for CGP: Graphics Processing Units ...
doi:10.1007/978-3-642-17310-3_8
fatcat:qq3swhyadvgdxetgjmqgulkfni
MolSSI Guidelines on APOD Cyclic Parallelization Strategy
2022
Zenodo
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The technical details on each stage of this process can be found in MolSSI guidelines and best practices' collection in the high-performance computing section. ...
Prerequisites This guide assumes the user is familiar with the (CUDA) C++ programming language and has access to CUDA-capable graphical processing units (GPUs) and an existing working serial code. ...
Using these programming languages, the code hotspots can be refactored into kernels and launched on the accelerator architectures such as graphical processing units (GPUs) and field programmable gate arrays ...
doi:10.5281/zenodo.5866422
fatcat:dbp2u2swqrfo7a7aodbfyknsd4
Evolution of image filters on graphics processor units using Cartesian Genetic Programming
2008
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
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Graphics processor units are fast, inexpensive parallel computing devices. ...
Recently there has been great interest in harnessing this power for various types of scientific computation, including genetic programming. ...
INTRODUCTION In recent months the first use of graphics processing units (GPUs) for genetic programming have appeared. ...
doi:10.1109/cec.2008.4631051
dblp:conf/cec/Harding08
fatcat:vjnyqgz7drcejnmoau6g4m4one
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