# Day 1 

The focus of **Day 1** is **vector addition**, with an **initial naive approach** and an **improved version**.

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## Code Descriptions

### 1️`vector_add.cu` (Naive Vector Addition)
- Implements **element-wise vector addition** (`C = A + B`).
- Uses **global memory** and assigns **one thread per element**.


### 2️`vector_add_optim.cu` (Improved Vector Addition)
- Uses an **improved approach with grid-stride loops** for better **memory access patterns**.
- **Kernel optimizations:**
  - Uses `grid-stride loops` to ensure all elements are efficiently computed.
  - Launches the **initWith()** function on the **GPU** instead of running it on the CPU.
  - dynamically selects the **number of blocks** based on the number of streaming multiprocessors (SMs).
  - 
- **Result:** Better GPU utilization, reduced memory latency, and improved performance.

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## Profiling and Running

To compile and profile the CUDA codes, use:

```
nvcc -o compiled_code_name source_code.cu
nsys profile --stats=true compiled_code_name

```


## My Blog
https://medium.com/@poornima31298/cuda-an-easy-introduction-for-beginners-5e897b62d1bd