This release archives the Python script and datasets of G.A.M.E. G.A.M.E. is a dynamics programming-based algorithm equipped with GPU-acceleration feature, allowing up to 5 decimal digits for input mass data
The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of prob...
Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility ...
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. Firs...
Abstract GPU acceleration is useful in solving complex chemical information problems. Identifying un...
<p>For an up-to-date release see: https://bitbucket.org/wrs20/ppmd</p> <p>The archive contains a sn...
Computational science is the application of computing technology to evaluate mathematical models in ...
GPU technologies are the paradigm shift in modern computing. This book will take you through archite...
© 2010, Pleiades Publishing, Ltd. This work describes the software package and algorithms for molecu...
We describe the integration of Bayesian non-parametric mixture models, massively parallel computing ...
BACKGROUND: Gas chromatography-mass spectrometry (GC-MS) is a technique frequently used in targeted ...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
This article describes advances in statistical computation for large-scale data analy-sis in structu...
<p>The archive contains the supporting data for the results described in the paper titled "A Domain ...
The pyGROMODS, a cross-platform Python package, provides automated means of generating input files a...
This paper presents implementation details of GPU-based genetic algorithm submitted to GPUs for Gene...
The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of prob...
Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility ...
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. Firs...
Abstract GPU acceleration is useful in solving complex chemical information problems. Identifying un...
<p>For an up-to-date release see: https://bitbucket.org/wrs20/ppmd</p> <p>The archive contains a sn...
Computational science is the application of computing technology to evaluate mathematical models in ...
GPU technologies are the paradigm shift in modern computing. This book will take you through archite...
© 2010, Pleiades Publishing, Ltd. This work describes the software package and algorithms for molecu...
We describe the integration of Bayesian non-parametric mixture models, massively parallel computing ...
BACKGROUND: Gas chromatography-mass spectrometry (GC-MS) is a technique frequently used in targeted ...
Automatic speech recognition (ASR) is a very demanding computing task. Much research has been done i...
This article describes advances in statistical computation for large-scale data analy-sis in structu...
<p>The archive contains the supporting data for the results described in the paper titled "A Domain ...
The pyGROMODS, a cross-platform Python package, provides automated means of generating input files a...
This paper presents implementation details of GPU-based genetic algorithm submitted to GPUs for Gene...
The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of prob...
Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility ...
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. Firs...
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