
Perform 1D convolution between an input signal and a kernel:
$$
\text{C}[i] = \sum_{j=0}^{K-1} \text{A}[i + j] \cdot \text{B}[j]
$$

The convolution operation slides the kernel over the input signal, computing the sum of element-wise multiplications at each position. Zero padding is used at the boundaries.

## Input:
- Vector $\text{A}$ of size $\text{N}$ (input signal)
- Vector $\text{B}$ of size $\text{K}$ (convolution kernel)
- $\text{K}$ is odd and smaller than $\text{N}$

## Output:
- Vector $\text{C}$ of size $\text{N}$ (convolved signal)

## Notes:
- Use zero padding at the boundaries where the kernel extends beyond the input signal
- The kernel is centered at each position, with $(K-1)/2$ elements on each side


Rank	User	GPU	Performance	Submitted
#1	tugrul512bit	NVIDIA H100	14123.83 GFLOPS	about 6 hours ago
#2	tugrul512bit	NVIDIA A10G	10427.89 GFLOPS	about 6 hours ago
#3	tugrul512bit	NVIDIA A100-80GB	9625.78 GFLOPS	about 6 hours ago
#4	dabeschte	NVIDIA H100	8508.21 GFLOPS	about 23 hours ago
#5	philipc2	NVIDIA H100	3469.05 GFLOPS	about 16 hours ago
#6	CatsAreFluffy	NVIDIA H100	2698.81 GFLOPS	about 8 hours ago
#7	tugrul512bit	NVIDIA T4	1937.98 GFLOPS	about 6 hours ago
#8	CatsAreFluffy	NVIDIA A10G	1681.93 GFLOPS	about 8 hours ago
#9	dabeschte	NVIDIA T4	1408.90 GFLOPS	about 23 hours ago
#10	CatsAreFluffy	NVIDIA A100-80GB	1187.44 GFLOPS	about 8 hours ago
#11	CatsAreFluffy	NVIDIA T4	459.88 GFLOPS	about 8 hours ago
#12	knightron0	NVIDIA T4	459.20 GFLOPS	3 days ago
#13	philipc2	NVIDIA T4	457.67 GFLOPS	about 16 hours ago
#14	saarang123	NVIDIA T4	434.73 GFLOPS	4 days ago
#15	hofstee	NVIDIA T4	434.03 GFLOPS	about 17 hours ago
#16	shu-bamma	NVIDIA T4	421.98 GFLOPS	about 6 hours ago
#17	aymuos15	NVIDIA T4	353.22 GFLOPS	about 10 hours ago

Leaderboard

1D Convolution