Getting Started with Intel® Data Analytics Acceleration Library for Linux*

Install Intel DAAL on Your System

Intel DAAL installs in the directory <install dir>/daal.

By default, <install dir> is /opt/intel/compilers_and_libraries_2017.x.xxx/linux.

For installation details, refer to Intel DAAL Installation Guide.

Set Environment Variables

1. Run the <install dir>/daal/bin/daalvars.sh script as appropriate to your target architecture:

   • IA-32 architecture:

     daalvars.sh ia32

   • Intel® 64 architecture:

     daalvars.sh intel64

2. Optionally: Specify the Java* compiler different from the default compiler:

   export JAVA_HOME=$PATH_TO_JAVA_SDK

   export PATH=$JAVA_HOME/bin:$PATH

Step 1: Choose the Compiler Option for Automatic Linking of Your Application with Intel DAAL

Decide on the variant of the the -daal option of the Intel® C++ Compiler 16 or higher or configure your project in the Integrated Development Environment (IDE):

For more information on the -daal compiler option, see the Intel® Compiler User and Reference Guide (default location: /opt/intel/documentation_2017/en/compiler_c/common/core/index.htm).

Step 2: Create and Run Your First Application with Intel DAAL

This short application computes Cholesky decomposition with Intel DAAL.

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!  Content:
!    Cholesky decomposition sample program.
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#include "daal.h"
#include <iostream>

using namespace daal;
using namespace daal::algorithms;
using namespace daal::data_management;
using namespace daal::services;

const size_t dimension = 3;
double inputArray[dimension *dimension] =
{
    1.0,  2.0,  4.0,
    2.0, 13.0, 23.0,
    4.0, 23.0, 77.0
};

int main(int argc, char *argv[])
{
    /* Create input numeric table from array */
    SharedPtr<NumericTable> inputData = SharedPtr<NumericTable>(new Matrix<double>(dimension, dimension, inputArray));

    /*  Create the algorithm object for computation of the Cholesky decomposition using the default method */
    cholesky::Batch<> algorithm;

    /* Set input for the algorithm */
    algorithm.input.set(cholesky::data, inputData);

    /* Compute Cholesky decomposition */
    algorithm.compute();

    /* Get pointer to Cholesky factor */
    SharedPtr<Matrix<double> > factor =
        staticPointerCast<Matrix<double>, NumericTable>(algorithm.getResult()->get(cholesky::choleskyFactor));

    /* Print the first element of the Cholesky factor */
    std::cout << "The first element of the Cholesky factor: " << (*factor)[0][0];

    return 0;
}

1. Paste the application code into the editor of your choice.

2. Save the file as my_first_daal_program.cpp.

3. Compile with the following command, providing the selected variant of the -daal compiler option, for example, -daal=parallel:

   icc my_first_daal_program.cpp -daal=parallel -o my_first_daal_program

4. Run the application.

Step 3 (Optional): Build Your Application with Different Compilers

List the following Intel DAAL libraries on a link line, depending on Intel DAAL threading mode and linking method:

These libraries are located in the architecture-specific directory <install dir>/daal/lib/{ia32|intel64}_lin, where the architecture parameter ia32 or intel64 is the same as you provided to the daalvar.sh script during setting environment variables.

Regardless of the linking method, also add to your link line the library on which Intel DAAL libraries depend:

• Intel® Threading Building Blocks run-time library of the Intel® compiler libtbb.so

For example, to build your application for Intel® 64 architecture by statically linking with multi-threaded Intel DAAL:

icc my_first_daal_program.cpp -o my_first_daal_program

$DAALROOT/lib/intel64_lin/libdaal_core.a $DAALROOT/lib/intel64_lin/libdaal_thread.a -ltbb -lpthread -ldl

Step 4: Build and Run Intel DAAL Code Examples

1. Build an example:

   Go to the C++ examples directory and execute the make command:

   cd <install dir>/daal/examples/cpp

   make {libia32|soia32|libintel64|sointel64}

           example=<example_name>

           compiler={intel|gnu}

           threading={parallel|sequential}

           mode=build

   Among the {libia32|soia32|libintel64|sointel64} parameters, choose the one that matches the architecture parameter you provided to the daalvars.sh script and has the prefix that matches the type of executables you want to build: lib for static and so for dynamic executables.

   The names of the examples are available in the daal.lst file.

   The command creates a directory for the chosen compiler, architecture, and library extension (a or so). For example: _results/intel_intel64_a.

2. Run an example:

   Go to the C++ examples directory and execute the make command in the run mode. For example, if you ran the daalvars script with the intel64 target:

   cd <install dir>/daal/examples/cpp

   make libintel64 example=cholesky_batch.cpp mode=run

   The make command builds the static library for the Intel 64 architecture and cholesky_batch.cpp example with Intel® compiler, assumed by default, and runs the executable.

Build and Run Intel DAAL Code Examples

To build and run Java code examples, use the version of the Java Virtual Machine* corresponding to the architecture parameter you provided to the daalvars.sh script during setting environment variables.

1. Free 4 gigabytes of memory on your system.

2. Build examples:

   Go to the Java examples directory and execute the launcher command with the build parameter:

   cd <install dir>/daal/examples/java

   launcher.sh build $PATH_TO_JAVAC

   The command builds executables*.class (for example, CholeskyBatch.class) in the

   <install dir>/daal/examples/java/com/intel/daal/examples/<example name> directory.

3. Run examples:

   Go to the Java examples directory and execute the launcher command with the run parameter:

   cd <install dir>/daal/examples/java

   launcher.sh {ia32|intel64} run $PATH_TO_JAVAC

   Choose the same architecture parameter as you provided to the daalvars.sh script.

   The output for each example is written to the file <example name>.res located in the ./_results/ia32 or ./_results/intel64 directory, depending on the specified architecture.

Step 1: Set Up the Build Environment

Set up the C++ build environment as explained under C++ Language.

Step 2: Install Intel DAAL for Python

Go to the directory with Python sources of Intel DAAL and run the install script:

cd <install dir>/pydaal_sources

<python home>/python setup.py install

This script compiles code using Intel DAAL for C++. It builds and installs the pyDAAL package for using Intel DAAL in Python programs.

Step 3: Run Intel DAAL Code Examples

To run Intel DAAL code examples, use the same version of Python as you used to install pyDAAL.

• Go to the directory with Intel DAAL Python examples:

  cd <install dir>/examples/python

• To run all the examples, execute the command:

  <python home>/python run_examples.py

  The output for each example is written to the ./_results/intel64/<example name>.res file.

• To run one specific example, execute the command:

  <python home>/python <algorithm name>/<example name>.py

  For example: /usr/local/bin/python3.5.1/python cholesky/cholesky_batch.py

  This command prints the output to your console.