Microbenchmark - Add arch support for 10.0 in gemm-flops (#680)

**Description**
Introduce architecture support for version 10.0 in gemm-flops.

superbench/benchmarks/micro_benchmarks/cuda_gemm_flops_performance.py

@@ -24,7 +24,8 @@ def __init__(self, name, parameters=''):
 
         self._bin_name = 'cutlass_profiler'
 
-        # TODO - To support more architecutres, currently only support compute capability = 7.0, 7.5, 8.0, 8.6
+        # TODO - To support more architectures
+        # Currently only support compute capability = 7.0, 7.5, 8.0, 8.6, 8.9, 9.0, 10.0
         self.__kernel_map = {
             7.0: {
                 'fp64': 'cutlass_simt_dgemm_128x128_8x2_*',
@@ -51,6 +52,7 @@ def __init__(self, name, parameters=''):
         self.__kernel_map[8.9] = {k: self.__kernel_map[8.0][k] for k in self.__kernel_map[8.0] if 'fp64' not in k}
         # Skip INT4 for Hopper due to no native CUDA/Tensor Cores
         self.__kernel_map[9.0] = {k: self.__kernel_map[8.0][k] for k in self.__kernel_map[8.0] if 'int4_tc' not in k}
+        self.__kernel_map[10.0] = {k: self.__kernel_map[8.0][k] for k in self.__kernel_map[8.0] if 'int4_tc' not in k}
         self.__parse_logline = [
             'gemm,cutlass_simt_dgemm_128x128_8x2', 'gemm,cutlass_simt_sgemm_128x128_8x2',
             'gemm,cutlass_simt_hgemm_256x128_8x2', 'gemm,cutlass_tensorop_d884gemm_128x128_16x3',