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73 lines
2.2 KiB
XML
73 lines
2.2 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
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<entry>
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<name>MonteCarloMultiGPU</name>
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<description><![CDATA[This sample evaluates fair call price for a given set of European options using the Monte Carlo approach, taking advantage of all CUDA-capable GPUs installed in the system. This sample use double precision hardware if a GTX 200 class GPU is present. The sample also takes advantage of CUDA 4.0 capability to supporting using a single CPU thread to control multiple GPUs]]></description>
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<devicecompilation>whole</devicecompilation>
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<includepaths>
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<path>./</path>
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<path>../</path>
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<path>../../Common</path>
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</includepaths>
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<keywords>
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<keyword>CUDA</keyword>
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<keyword>CURAND</keyword>
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<keyword>Computational Finance</keyword>
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<keyword>option pricing</keyword>
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<keyword>Monte Carlo</keyword>
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<keyword>multi-GPU support</keyword>
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</keywords>
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<libraries>
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<library>curand</library>
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</libraries>
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<librarypaths>
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</librarypaths>
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<nsight_eclipse>true</nsight_eclipse>
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<primary_file>MonteCarloMultiGPU.cpp</primary_file>
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<required_dependencies>
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<dependency>CURAND</dependency>
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</required_dependencies>
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<scopes>
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<scope>1:CUDA Advanced Topics</scope>
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<scope>1:Performance Strategies</scope>
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<scope>3:Computational Finance</scope>
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</scopes>
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<sm-arch>sm35</sm-arch>
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<sm-arch>sm37</sm-arch>
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<sm-arch>sm50</sm-arch>
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<sm-arch>sm52</sm-arch>
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<sm-arch>sm60</sm-arch>
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<sm-arch>sm61</sm-arch>
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<sm-arch>sm70</sm-arch>
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<sm-arch>sm72</sm-arch>
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<sm-arch>sm75</sm-arch>
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<sm-arch>sm80</sm-arch>
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<sm-arch>sm86</sm-arch>
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<supported_envs>
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<env>
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<arch>x86_64</arch>
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<platform>linux</platform>
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</env>
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<env>
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<platform>windows7</platform>
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</env>
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<env>
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<arch>x86_64</arch>
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<platform>macosx</platform>
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</env>
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<env>
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<arch>arm</arch>
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</env>
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<env>
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<arch>ppc64le</arch>
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<platform>linux</platform>
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</env>
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</supported_envs>
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<supported_sm_architectures>
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<include>all</include>
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</supported_sm_architectures>
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<title>Monte Carlo Option Pricing with Multi-GPU support</title>
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<type>exe</type>
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<whitepaper>doc\MonteCarlo.pdf</whitepaper>
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</entry>
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