CUDA Parallel Programming: Difference between revisions
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<h2 align="center">BINGHAMTON UNIVERSITY</h2> |
<h2 align="center">BINGHAMTON UNIVERSITY / SPRING 2012 / CS486</h2> |
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==Senior Project == |
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<h2 align="center">SPRING 2012</h2> |
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< |
<h3 align="center"> Learning CUDA and Implement it with ANOVA </h3> |
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<h2 align="center">CUDA with FastAnova</h2 > |
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==Project Members:== |
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<h3 align="left">Alper ALIMOGLU</h3 > |
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Alper ALIMOGLU |
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<h3 align="center">INDEX</h3 > |
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= Project Resources = |
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<h4 align="left">1.Introduction</h4> |
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* [[CUDA Parallel Programming/ProjectDescription|Project Description]] |
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<h4 align="left">2.Definition of SNP-Genes</h4> |
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* [[CUDA Parallel Programming/Anova with CUDA|Anova with CUDA]] |
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<hr> |
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* [[CUDA Parallel Programming/Learn CUDA and Implementation with ANOVA|Learn CUDA and Implementation with ANOVA]] |
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* [[CUDA Parallel Programming/References|References]] |
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<h4 align="left">1.Introduction</h4> |
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<P> CUDA stands for Compute Unified Device Architecture and is a new hardware and |
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software architecture for issuing and managing computations on the GPU as a data-parallel |
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computing device without the need of mapping them to a graphics API. CUDA includes a |
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programming model along with hardware support that simplifies parallel implementation. |
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CUDA is one of the main programming languages that increase the speed of result more |
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than any other languages. Programmers need training in parallel programming to be fully |
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effective in computer science. CUDA forms a platform that contains both high-performance |
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applications for heterogeneous platforms that contain both central and graphics processing |
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units. Data-parallel processing maps data elements to parallel processing threads. Many |
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applications that process large data sets such as arrays can use a data-parallel programming |
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model to speed up the computations. In that case I aimed to use CUDA in order to do a |
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helpful analyze on the medical area (bad-genes). As a first step I search a string under a 1 Mb |
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of a text file under parallel programming. My aim was to observe how parallel programming |
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might increase the performance of the process. |
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<hr> |
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<h4 align="left">2.Definition of SNP-Genes</h4> |
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Latest revision as of 06:06, 15 May 2012
BINGHAMTON UNIVERSITY / SPRING 2012 / CS486
Senior Project
Learning CUDA and Implement it with ANOVA
Project Members:
Alper ALIMOGLU
