Facing scaling issue for GSPMM kernel operation on X86 machine

ICELAKE
--
```
Input Shape | 1 Core | 2 Cores | 4 Cores | 8 Cores | 16 Cores | 32 Cores
[11658, 128] | 150.9 ms |113.41ms | 89.54ms | 81.23ms | 82.71ms | 166.92ms
[11410, 128] | 150.56ms | 109.93ms | 87.33ms | 80.08ms | 82.58ms | 157.84ms
[11070, 128] | 145.78ms | 109.69ms | 88.50ms | 81.51ms | 82.56ms | 165.82ms
[11172, 128] | 144.81ms | 109.81ms | 87.17ms | 79.12ms | 81.70ms | 162.82ms
[10938, 128] | 143.74ms | 109.54ms | 86.50ms | 79.06ms | 81.25ms | 160.59ms
[11096, 128] | 141.87ms | 109.44ms | 86.16ms | 78.73ms | 82.35ms | 164.38ms
[10740, 128] | 136.91ms | 105.59ms | 85.67ms | 78.73ms | 80.23ms | 165.82ms
[10464, 128] | 139.91ms | 105.08ms | 84.59ms | 77.68ms | 79.87ms | 159.14ms
[10168, 128] | 139.27ms | 102.07ms | 83.99ms | 76.57ms | 80.32ms | 166.89ms
[10066, 128] | 131.42ms | 101.85ms | 83.10ms | 76.48ms | 78.29ms | 162.82ms
[10092, 128] | 134.06ms | 102.55ms | 83.88ms | 75.25ms | 78.29ms | 164.52ms
[10482, 128] | 133.30ms | 104.64ms | 84.94ms | 77.78ms | 81.43ms | 165.23ms
[10206, 128] | 133.43ms | 103.74ms | 83.10ms | 76.26ms | 80.88ms | 159.14ms
[10398, 128] | 132.03ms | 102.55ms | 83.88ms | 76.85ms | 79.89ms | 157.77ms
[10344, 128] | 135.24ms | 103.36ms | 83.99ms | 76.64ms | 80.07ms | 160.32ms
[10266, 128] | 134.60ms | 102.71ms | 84.27ms | 76.64ms | 79.05ms | 157.83ms
[10590, 128] | 132.03ms | 104.56ms | 84.73ms | 77.95ms | 78.88ms | 165.23ms
[10144, 128] | 136.40ms | 100.83ms | 83.52ms | 76.44ms | 78.88ms | 160.32ms
[10194, 128] | 133.39ms | 102.65ms | 82.80ms | 76.33ms | 92.43ms | 164.38ms
```

this is the bench marking results which I took from MESHGNN model
as it can observed from the results that the spmm operation is not scaling properly after 8 cores these are the inference results

script which i used:-


setup details :-

dgl = 2.5 (build form source)
torch = 2.5 (pip installed)