MatrixVectorMul (Flink : Examples : Streaming 2.0.1-cp2 API)

java.lang.Object
- org.apache.flink.streaming.examples.gpu.MatrixVectorMul

```
public class MatrixVectorMul
extends Object
```
Implements the matrix-vector multiplication program that shows how to use GPU resources in Flink.
The input is a vector stream, which will generate random vectors with specified dimension. The data size of the vector stream could be specified by user. Each vector will be multiplied with a random dimension * dimension matrix in MatrixVectorMul.Multiplier and the result would be emitted to output.
Usage: MatrixVectorMul [--output <path>] [--dimension <dimension> --data-size <data_size>]
If no parameters are provided, the program is run with default vector dimension 10 and data size 100.
This example shows how to:
- leverage external resource in operators,
- accelerate complex calculation with GPU resources.
Notice that you need to add JCuda natives libraries in your Flink distribution by the following steps:
- download the JCuda native libraries bundle for your CUDA version from http://www.jcuda.org/downloads/
- copy the native libraries jcuda-natives and jcublas-natives for your CUDA version, operating system and architecture to the "lib/" folder of your Flink distribution

- Constructor Summary
  
  Constructors
  Constructor Description
  
  MatrixVectorMul()
- Method Summary
  
  All Methods Static Methods Concrete Methods
  Modifier and Type Method Description
  
  static void main(String[] args)
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail
- MatrixVectorMul
```
public MatrixVectorMul()
```

Method Detail

main

public static void main(String[] args)
                 throws Exception

Throws:: Exception