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| JavaCPP Presets for MKL | ||
| ======================= | ||
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| Introduction | ||
| ------------ | ||
| This directory contains the JavaCPP Presets module for: | ||
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| * MKL 2017.2 https://software.intel.com/intel-mkl | ||
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| Please refer to the parent README.md file for more detailed information about the JavaCPP Presets. | ||
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| Documentation | ||
| ------------- | ||
| Java API documentation is available here: | ||
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| * http://bytedeco.org/javacpp-presets/mkl/apidocs/ | ||
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| ∗ MKL also gets used by the [JavaCPP Presets for OpenBLAS](https://github.com/bytedeco/javacpp-presets/tree/master/openblas). | ||
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| Sample Usage | ||
| ------------ | ||
| Here is a simple example of MKL ported to Java from the `dgemm_example.c` sample file included in `mkl_c_samples_022017_0.zip` available at: | ||
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| * https://software.intel.com/product-code-samples | ||
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| We can use [Maven 3](http://maven.apache.org/) to download and install automatically all the class files as well as the native binaries. To run this sample code, after creating the `pom.xml` and `src/main/java/DGEMMExample.java` source files below, simply execute on the command line: | ||
| ```bash | ||
| $ mvn compile exec:java | ||
| ``` | ||
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| ### The `pom.xml` build file | ||
| ```xml | ||
| <project> | ||
| <modelVersion>4.0.0</modelVersion> | ||
| <groupId>org.bytedeco.javacpp-presets.mkl</groupId> | ||
| <artifactId>mkl</artifactId> | ||
| <version>1.3.3-SNAPSHOT</version> | ||
| <properties> | ||
| <exec.mainClass>DGEMMExample</exec.mainClass> | ||
| </properties> | ||
| <dependencies> | ||
| <dependency> | ||
| <groupId>org.bytedeco.javacpp-presets</groupId> | ||
| <artifactId>mkl-platform</artifactId> | ||
| <version>2017.2-1.3.3-SNAPSHOT</version> | ||
| </dependency> | ||
| </dependencies> | ||
| </project> | ||
| ``` | ||
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| ### The `src/main/java/DGEMMExample.java` source file | ||
| ```java | ||
| //============================================================== | ||
| // | ||
| // SAMPLE SOURCE CODE - SUBJECT TO THE TERMS OF SAMPLE CODE LICENSE AGREEMENT, | ||
| // http://software.intel.com/en-us/articles/intel-sample-source-code-license-agreement/ | ||
| // | ||
| // Copyright 2016-2017 Intel Corporation | ||
| // | ||
| // THIS FILE IS PROVIDED "AS IS" WITH NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT | ||
| // NOT LIMITED TO ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR | ||
| // PURPOSE, NON-INFRINGEMENT OF INTELLECTUAL PROPERTY RIGHTS. | ||
| // | ||
| // ============================================================= | ||
| /******************************************************************************* | ||
| * This example computes real matrix C=alpha*A*B+beta*C using Intel(R) MKL | ||
| * function dgemm, where A, B, and C are matrices and alpha and beta are | ||
| * scalars in double precision. | ||
| * | ||
| * In this simple example, practices such as memory management, data alignment, | ||
| * and I/O that are necessary for good programming style and high MKL | ||
| * performance are omitted to improve readability. | ||
| ********************************************************************************/ | ||
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| import org.bytedeco.javacpp.*; | ||
| import org.bytedeco.javacpp.indexer.*; | ||
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| import static org.bytedeco.javacpp.mkl_rt.*; | ||
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| public class DGEMMExample { | ||
| public static void main(String[] args) throws Exception { | ||
| System.out.println("\n This example computes real matrix C=alpha*A*B+beta*C using \n" | ||
| + " Intel(R) MKL function dgemm, where A, B, and C are matrices and \n" | ||
| + " alpha and beta are double precision scalars\n"); | ||
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| int m = 2000, p = 200, n = 1000; | ||
| System.out.printf(" Initializing data for matrix multiplication C=A*B for matrix \n" | ||
| + " A(%dx%d) and matrix B(%dx%d)\n\n", m, p, p, n); | ||
| double alpha = 1.0, beta = 0.0; | ||
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| System.out.println(" Allocating memory for matrices aligned on 64-byte boundary for better \n" | ||
| + " performance \n"); | ||
| DoublePointer A = new DoublePointer(MKL_malloc(m * p * Double.BYTES, 64)); | ||
| DoublePointer B = new DoublePointer(MKL_malloc(p * n * Double.BYTES, 64)); | ||
| DoublePointer C = new DoublePointer(MKL_malloc(m * n * Double.BYTES, 64)); | ||
| if (A.isNull() || B.isNull() || C.isNull()) { | ||
| System.out.println( "\n ERROR: Can't allocate memory for matrices. Aborting... \n"); | ||
| MKL_free(A); | ||
| MKL_free(B); | ||
| MKL_free(C); | ||
| System.exit(1); | ||
| } | ||
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| System.out.println(" Intializing matrix data \n"); | ||
| DoubleIndexer Aidx = DoubleIndexer.create(A.capacity(m * p)); | ||
| for (int i = 0; i < m * p; i++) { | ||
| A.put(i, (double)(i + 1)); | ||
| } | ||
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| DoubleIndexer Bidx = DoubleIndexer.create(B.capacity(p * n)); | ||
| for (int i = 0; i < p * n; i++) { | ||
| B.put(i, (double)(-i - 1)); | ||
| } | ||
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| DoubleIndexer Cidx = DoubleIndexer.create(C.capacity(m * n)); | ||
| for (int i = 0; i < m * n; i++) { | ||
| C.put(i, 0.0); | ||
| } | ||
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| System.out.println(" Computing matrix product using Intel(R) MKL dgemm function via CBLAS interface \n"); | ||
| cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, | ||
| m, n, p, alpha, A, p, B, n, beta, C, n); | ||
| System.out.println("\n Computations completed.\n"); | ||
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| System.out.println(" Top left corner of matrix A: "); | ||
| for (int i = 0; i < Math.min(m, 6); i++) { | ||
| for (int j = 0; j< Math.min(p, 6); j++) { | ||
| System.out.printf("%12.0f", Aidx.get(j + i * p)); | ||
| } | ||
| System.out.println(); | ||
| } | ||
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| System.out.println("\n Top left corner of matrix B: "); | ||
| for (int i = 0; i < Math.min(p, 6); i++) { | ||
| for (int j = 0; j < Math.min(n, 6); j++) { | ||
| System.out.printf("%12.0f", Bidx.get(j + i * n)); | ||
| } | ||
| System.out.println(); | ||
| } | ||
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| System.out.println("\n Top left corner of matrix C: "); | ||
| for (int i = 0; i < Math.min(m, 6); i++) { | ||
| for (int j = 0; j < Math.min(n, 6); j++) { | ||
| System.out.printf("%12.5G", Cidx.get(j + i * n)); | ||
| } | ||
| System.out.println(); | ||
| } | ||
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| System.out.println("\n Deallocating memory \n"); | ||
| MKL_free(A); | ||
| MKL_free(B); | ||
| MKL_free(C); | ||
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| System.out.println(" Example completed. \n"); | ||
| System.exit(0); | ||
| } | ||
| } | ||
| ``` |
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| #!/bin/bash | ||
| # This file is meant to be included by the parent cppbuild.sh script | ||
| if [[ -z "$PLATFORM" ]]; then | ||
| pushd .. | ||
| bash cppbuild.sh "$@" mkl | ||
| popd | ||
| exit | ||
| fi | ||
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| case $PLATFORM in | ||
| linux-*) | ||
| if [[ ! -d "/opt/intel/mkl/" ]]; then | ||
| echo "Please install MKL under the default installation directory" | ||
| exit 1 | ||
| fi | ||
| ;; | ||
| macosx-*) | ||
| if [[ ! -d "/opt/intel/mkl/" ]]; then | ||
| echo "Please install MKL under the default installation directory" | ||
| exit 1 | ||
| fi | ||
| ;; | ||
| windows-*) | ||
| if [[ ! -d "/C/Program Files (x86)/IntelSWTools/compilers_and_libraries/windows/mkl/" ]]; then | ||
| echo "Please install MKL under the default installation directory" | ||
| exit 1 | ||
| fi | ||
| ;; | ||
| *) | ||
| echo "Error: Platform \"$PLATFORM\" is not supported" | ||
| ;; | ||
| esac |
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| <?xml version="1.0" encoding="UTF-8"?> | ||
| <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
| xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> | ||
| <modelVersion>4.0.0</modelVersion> | ||
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| <parent> | ||
| <groupId>org.bytedeco</groupId> | ||
| <artifactId>javacpp-presets</artifactId> | ||
| <version>1.3.3-SNAPSHOT</version> | ||
| <relativePath>../../</relativePath> | ||
| </parent> | ||
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| <groupId>org.bytedeco.javacpp-presets</groupId> | ||
| <artifactId>mkl-platform</artifactId> | ||
| <version>2017.2-${project.parent.version}</version> | ||
| <name>JavaCPP Presets Platform for MKL</name> | ||
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| <properties> | ||
| <javacpp.moduleId>mkl</javacpp.moduleId> | ||
| </properties> | ||
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| <dependencies> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| <classifier>${javacpp.platform.linux-x86}</classifier> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| <classifier>${javacpp.platform.linux-x86_64}</classifier> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| <classifier>${javacpp.platform.macosx-x86_64}</classifier> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| <classifier>${javacpp.platform.windows-x86}</classifier> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>${project.groupId}</groupId> | ||
| <artifactId>${javacpp.moduleId}</artifactId> | ||
| <version>${project.version}</version> | ||
| <classifier>${javacpp.platform.windows-x86_64}</classifier> | ||
| </dependency> | ||
| </dependencies> | ||
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| <build> | ||
| <plugins> | ||
| <plugin> | ||
| <artifactId>maven-jar-plugin</artifactId> | ||
| <executions> | ||
| <execution> | ||
| <id>default-jar</id> | ||
| <configuration> | ||
| <archive> | ||
| <manifestEntries> | ||
| <Class-Path>${javacpp.moduleId}.jar ${javacpp.moduleId}-linux-x86.jar ${javacpp.moduleId}-linux-x86_64.jar ${javacpp.moduleId}-macosx-x86_64.jar ${javacpp.moduleId}-windows-x86.jar ${javacpp.moduleId}-windows-x86_64.jar</Class-Path> | ||
| </manifestEntries> | ||
| </archive> | ||
| </configuration> | ||
| </execution> | ||
| </executions> | ||
| </plugin> | ||
| </plugins> | ||
| </build> | ||
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| </project> |
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