
Perform a matrix multiplication followed by bias addition and ReLU activation:
$$
\text{C} = \text{ReLU}(\text{A} \cdot \text{W}^T + \text{b})
$$

The ReLU (Rectified Linear Unit) activation function is defined as:
$$
f(x) = \begin{cases} 
x & \text{if } x > 0 \\
0 & \text{if } x \leq 0 
\end{cases}
$$

## Input:
- Matrix $\text{A}$ of size $\text{B} \times \text{N}$ corresponding to `batch_size x input_features`
- Matrix $\text{W}$ of size $\text{M} \times \text{N}$ (weights)
- Vector $\text{b}$ of size $\text{M}$ (bias)

## Output:
- Matrix $\text{C}$ of size $\text{B} \times \text{M}$


Rank	User	GPU	Performance	Submitted
#1	knightron0	NVIDIA T4	103.29 GFLOPS	4 days ago
#2	harmya	NVIDIA T4	97.79 GFLOPS	4 days ago

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GEMM with Bias and ReLU