
Perform matrix multiplication of a diagonal matrix with another matrix:
$$
C[i][j] = A[i] \cdot B[i][j]
$$

## Input
- Diagonal $A$ of size $N$
- Matrix $B$ of size $N \times M$

## Output
- Matrix $C$ of size $N \times M$

## Notes:
- The diagonal matrix is represented by a 1D tensor $A$
- All matrices $\text{B}$ and $\text{C}$ are stored in row-major order
- This problem is adapted from [KernelBench](https://github.com/ScalingIntelligence/KernelBench/blob/main/KernelBench/level1/12_Matmul_with_diagonal_matrices_.py)

Rank	User	GFLOPS	Runtime (ms)	GPU	Language	Date
#1	sagarreddypatil	464.2G	0.08	B200	CUDA C++	3 months ago
#2	ell-hol	405.19G	0.18	H100	CUDA C++	4 months ago
#3	sagarreddypatil	302.23G	0.83	H100	CUDA C++	4 months ago
#4	Firojpaudel	297.75G	0.13	H100	CUDA C++	5 months ago
#5	jtang-csmi	257G	0.42	H100	CUDA C++	5 months ago
#6	ell-hol	241.77G	0.18	L40S	CUDA C++	4 months ago
#7	sagarreddypatil	144.9G	0.30	L40S	CUDA C++	4 months ago
#8	harmya	106.71G	0.32	L40S	CUDA C++	5 months ago
#9	doudi25	59.63G	0.46	H200	CUDA C++	about 1 month ago
#10	rkpinto7	29.53G	0.79	T4	CUDA C++	4 months ago
#11	chillenb	29.12G	0.80	T4	CUDA C++	about 2 months ago
#12	laukevin	29.03G	0.81	T4	CUDA C++	4 months ago
#13	revanth27	28.85G	0.81	T4	CUDA C++	about 1 month ago
#14	jcobysagal	28.74G	0.84	T4	CUDA C++	4 months ago
#15	sagarreddypatil	28.72G	0.85	T4	CUDA C++	4 months ago
#16	edumntg	28.38G	0.82	T4	CUDA C++	5 months ago
#17	jtang-csmi	28.1G	0.83	T4	CUDA C++	5 months ago
#18	Firojpaudel	27.95G	0.84	T4	CUDA C++	5 months ago
#19	rahimkhan76270	11.34G	2.71	T4	CUDA C++	2 months ago