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ArrayFire 1.2.1
pts/arrayfire-1.2.1
- 16 July 2024 -
Add additional test options for ArrayFire.
downloads.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.5--> <PhoronixTestSuite> <Downloads> <Package> <URL>https://github.com/arrayfire/arrayfire/releases/download/v3.9.0/arrayfire-full-3.9.0.tar.bz2</URL> <MD5>9056b605f87ab30f81d0f792e417a036</MD5> <SHA256>8356c52bf3b5243e28297f4b56822191355216f002f3e301d83c9310a4b22348</SHA256> <FileName>arrayfire-full-3.9.0.tar.bz2</FileName> <FileSize>65330143</FileSize> </Package> </Downloads> </PhoronixTestSuite>
install.sh
#!/bin/sh tar -xf arrayfire-full-3.9.0.tar.bz2 cd arrayfire-full-v3.9.0/ mkdir build cd build cmake -DAF_BUILD_EXAMPLES=ON -DAF_BUILD_CUDA=OFF -DBUILD_TEST=OFF -DBUILD_TESTING=OFF -DCMAKE_BUILD_TYPE=Release .. make -j $NUM_CPU_CORES cd ~/ echo "#!/bin/sh cd arrayfire-full-v3.9.0/build/examples/benchmarks cp ./../financial/black_scholes_options_opencl ./ cp ./../financial/black_scholes_options_cpu ./ cp ./../machine_learning/neural_network_opencl ./ cp ./../machine_learning/neural_network_cpu ./ ./\$@ > \$LOG_FILE 2>&1" > arrayfire chmod +x arrayfire
results-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.5--> <PhoronixTestSuite> <ResultsParser> <OutputTemplate> ### peak #_RESULT_# GFLOPS</OutputTemplate> <ResultScale>GFLOPS</ResultScale> <ResultProportion>HIB</ResultProportion> </ResultsParser> <ResultsParser> <OutputTemplate>Dense Conjugate Gradient Time: #_RESULT_#</OutputTemplate> <LineHint>Gradient Time</LineHint> <StripFromResult>ms</StripFromResult> <ResultScale>ms</ResultScale> <ResultProportion>LIB</ResultProportion> </ResultsParser> <ResultsParser> <OutputTemplate>Input Data Size = 2000000. Mean GPU Time: #_RESULT_# ms</OutputTemplate> <LineHint>GPU Time: </LineHint> <StripFromResult>ms</StripFromResult> <ResultScale>ms</ResultScale> </ResultsParser> <ResultsParser> <OutputTemplate>Training time: #_RESULT_#</OutputTemplate> <StripFromResult>s</StripFromResult> <ResultScale>s</ResultScale> </ResultsParser> </PhoronixTestSuite>
test-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.5--> <PhoronixTestSuite> <TestInformation> <Title>ArrayFire</Title> <AppVersion>3.9</AppVersion> <Description>ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks.</Description> <Proportion>LIB</Proportion> <TimesToRun>3</TimesToRun> </TestInformation> <TestProfile> <Version>1.2.1</Version> <SupportedPlatforms>Linux</SupportedPlatforms> <SoftwareType>Utility</SoftwareType> <TestType>Processor</TestType> <License>Free</License> <Status>Verified</Status> <ExternalDependencies>build-utilities, boost-development, cmake, blas-development, atlas-development, lapack-development, fftw3-development, opencl</ExternalDependencies> <EnvironmentSize>775</EnvironmentSize> <ProjectURL>https://arrayfire.com/</ProjectURL> <RepositoryURL>https://github.com/arrayfire/arrayfire</RepositoryURL> <Maintainer>Michael Larabel</Maintainer> <SystemDependencies>lapacke.h</SystemDependencies> </TestProfile> <TestSettings> <Option> <DisplayName>Test</DisplayName> <Identifier>test</Identifier> <Menu> <Entry> <Name>BLAS CPU FP32</Name> <Value>blas_cpu</Value> </Entry> <Entry> <Name>BLAS CPU FP16</Name> <Value>blas_cpu 0 f16</Value> </Entry> <Entry> <Name>Conjugate Gradient CPU</Name> <Value>cg_cpu</Value> </Entry> <Entry> <Name>BLAS OpenCL FP32</Name> <Value>blas_opencl</Value> </Entry> <Entry> <Name>BLAS OpenCL FP16</Name> <Value>blas_opencl 0 f16</Value> </Entry> <Entry> <Name>Conjugate Gradient OpenCL</Name> <Value>cg_opencl</Value> </Entry> <Entry> <Name>Black Scholes OpenCL (Data size = 2000000)</Name> <Value>black_scholes_options_opencl</Value> </Entry> <Entry> <Name>Black Scholes CPU (Data size = 2000000)</Name> <Value>black_scholes_options_cpu</Value> </Entry> <Entry> <Name>Neural Network OpenCL FP32</Name> <Value>neural_network_opencl 0 - 60 f32</Value> </Entry> <Entry> <Name>Neural Network OpenCL FP16</Name> <Value>neural_network_opencl 0 - 60 f16</Value> </Entry> <Entry> <Name>Neural Network CPU FP32</Name> <Value>neural_network_cpu 0 - 60 f32</Value> </Entry> </Menu> </Option> </TestSettings> </PhoronixTestSuite>