https://github.com/dizys/nyu-gpu-lab-1

NYU GPU Lab 1: Implement a vector processor in CUDA.
https://github.com/dizys/nyu-gpu-lab-1

Last synced: 15 days ago
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NYU GPU Lab 1: Implement a vector processor in CUDA.

• Host: GitHub
• URL: https://github.com/dizys/nyu-gpu-lab-1
• Owner: dizys
• License: mit
• Created: 2022-10-03T10:58:42.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-20T02:41:57.000Z (about 2 years ago)
• Last Synced: 2024-12-20T20:03:10.574Z (21 days ago)
• Language: Cuda
• Size: 20.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# nyu-gpu-lab-1

NYU GPU Lab 1: Implement a vector processor in CUDA.

## Build

Using make to build the project:

```bash

make

```

An executable named `vectorprog` will be generated under the project root directory.

## Usage

```bash

./vectorprog 

```

## Change Number of Blocks & Threads

Open `vectorprog.cu` and change the `BLOCK_NUM` and `BLOCK_SIZE` macros.

For example, to use 4 blocks and 256 threads in a block, change the macros to:

```c++

#define BLOCK_NUM 4

#define BLOCK_SIZE 256

```