Description

# Programming Assignment 2: Vector Addition

## Objective

The purpose of this lab is to introduce the student to the CUDA API by implementing vector addition. The student will implement vector addition by writing the GPU kernel code as well as the associated host code.

## Instructions

Edit the code in the code tab to perform the following:

– Allocate device memory
– Copy host memory to device
– Initialize thread block and kernel grid dimensions
– Invoke CUDA kernel
– Copy results from device to host
– Free device memory – Write the CUDA kernel

Instructions about where to place each part of the code is demarcated by the `//@@` comment lines.

## How to Compile

The `template.cu` file contains the code for the programming assignment.
There is a Makefile included which compiles it and links it with the libgputk CUDA library automatically. It can be run by typing `make` from the VectorAdd folder. It generates a `solution` output file. During development, make sure to run the `make clean` command before running `make`.

## How to test

Use the `make run` commad to test your program. There are a total of 10 tests on which your program will be evaluated.

## Dataset Generation (optional)

## Submission

Submit the template.cu file on gradescope.