onnxruntime

Implement 2d tiled matmulnbits specialized for prefill (#23058)

### Description
This change implements matmul4bits with tiling both for A and B. This is
beneficial for prefill scenarios on Intel integrated GPUs, because each
row of A has to run through the same set of shared rows of B. This
change should improve core occupancy and model_benchmark does indicate
improvements for prefill.

The same shader is not used for generation because when A has just a
single row, the other threads in the workgroup get unused and that hurts
performance.

```
-- Baseline run on an Alderlake GPU --

C:\onnxruntime>C:\model_benchmark\model_benchmark.exe -i C:\Phi-3.5-mini-instruct-onnx-web\Phi-3.5-mini-instruct-onnx-web -l 500
Batch size: 1, prompt tokens: 501, tokens to generate: 128
Prompt processing (time to first token):
        avg (us):       1.72338e+07
        avg (tokens/s): 29.0707                          << 
        p50 (us):       1.72548e+07
        stddev (us):    57012.8
        n:              5 * 501 token(s)
Token generation:
        avg (us):       79227.5
        avg (tokens/s): 12.6219
        p50 (us):       79284.4
        stddev (us):    2109.72
        n:              635 * 1 token(s)
Token sampling:
        avg (us):       15.8198
        avg (tokens/s): 63211.8
        p50 (us):       14.3
        stddev (us):    8.67178
        n:              640 * 1 token(s)
E2E generation (entire generation loop):
        avg (ms):       27297.8
        p50 (ms):       27269.8
        stddev (ms):    89.4322
        n:              5
Peak working set size (bytes): 5490987008
WebGPU device lost (2): Device was destroyed.

----------------------------------- With Prefill Optimization ----

C:\onnxruntime>C:\model_benchmark\model_benchmark.exe -i C:\Phi-3.5-mini-instruct-onnx-web\Phi-3.5-mini-instruct-onnx-web -l 500                                                                                                                                                               
Batch size: 1, prompt tokens: 501, tokens to generate: 128
Prompt processing (time to first token):
        avg (us):       1.2135e+07
        avg (tokens/s): 41.2856                                 << 
        p50 (us):       1.21288e+07
        stddev (us):    21282.1
        n:              5 * 501 token(s)
Token generation:
        avg (us):       78945.3
        avg (tokens/s): 12.667
        p50 (us):       78900.7
        stddev (us):    2232.43
        n:              635 * 1 token(s)
Token sampling:
        avg (us):       20.5608
        avg (tokens/s): 48636.3
        p50 (us):       18.7
        stddev (us):    19.0409
        n:              640 * 1 token(s)
E2E generation (entire generation loop):
        avg (ms):       22163.8
        p50 (ms):       22160.1
        stddev (ms):    31.3122
        n:              5
Peak working set size (bytes): 5478862848
WebGPU device lost (2): Device was destroyed.
```