カーネル名の後の角括弧内に示されている数字は、そのカーネルを起動した CUDA API に対応しています。( GPU トレースおよび API トレース モードから)
カーネル名の後の角括弧内に示されている数字は、
- 94、
- 105、
- 2191、
- 2198.
では、 NVIDIA CUDA Runtime APIの CUDA API [94](およびその他) とは正確には何ですか?
==27706== Profiling application: matrixMul
[Matrix Multiply Using CUDA] - Starting...
GPU Device 0: "GeForce GT 640M LE" with compute capability 3.0
MatrixA(320,320), MatrixB(640,320)
Computing result using CUDA Kernel...
done
Performance= 35.36 GFlop/s, Time= 3.707 msec, Size= 131072000 Ops, WorkgroupSize= 1024 threads/block
Checking computed result for correctness: OK
Note: For peak performance, please refer to the matrixMulCUBLAS example.
==27706== Profiling result:
Start Duration Grid Size Block Size Regs* SSMem* DSMem* Size Throughput Device Context Stream Name
133.81ms 135.78us - - - - - 409.60KB 3.0167GB/s GeForce GT 640M 1 2 [CUDA memcpy HtoD]
134.62ms 270.66us - - - - - 819.20KB 3.0267GB/s GeForce GT 640M 1 2 [CUDA memcpy HtoD]
134.90ms 3.7037ms (20 10 1) (32 32 1) 29 8.1920KB 0B - - GeForce GT 640M 1 2 void matrixMulCUDA<int=32>(float*, float*, float*, int, int) [94]
138.71ms 3.7011ms (20 10 1) (32 32 1) 29 8.1920KB 0B - - GeForce GT 640M 1 2 void matrixMulCUDA<int=32>(float*, float*, float*, int, int) [105]
<...more output...>
1.24341s 3.7011ms (20 10 1) (32 32 1) 29 8.1920KB 0B - - GeForce GT 640M 1 2 void matrixMulCUDA<int=32>(float*, float*, float*, int, int) [2191]
1.24711s 3.7046ms (20 10 1) (32 32 1) 29 8.1920KB 0B - - GeForce GT 640M 1 2 void matrixMulCUDA<int=32>(float*, float*, float*, int, int) [2198]
1.25089s 248.13us - - - - - 819.20KB 3.3015GB/s GeForce GT 640M 1 2 [CUDA memcpy DtoH]
Regs: Number of registers used per CUDA thread. This number includes registers used internally by the CUDA driver and/or tools and can be more than what the compiler shows.
SSMem: Static shared memory allocated per CUDA block.
DSMem: Dynamic shared memory allocated per CUDA block.