Issue with GPU code

[AbandiGa]

Hello,

I'm having an issue with the GPU code, when I run even with the graph provided I always get zero for the number of triangles or other patterns. The OpenMP code seems to work fine with me. I provided the output of both GPU and OpenMP.

GPU:

./tc_gpu_base /home/ghadeer/cit-Patents/graph Triangle Counting (for undirected graphs only) Using DAG (static orientation) Orientation enabled, using DAG Time on generating the DAG: 0.216688 sec |V| 3774769 |E| 16518947 Found 4 devices Device[0]: NVIDIA TITAN V Compute capability: 7.0 Warp size: 32 Total # SM: 80 Total # CUDA cores: 5120 Total amount of shared memory per block: 49152 bytes Total # registers per block: 65536 Total amount of constant memory: 65536 bytes Total global memory: 11.8 GB Memory Clock Rate: 0.81 GHz Memory Bus Width: 3072 bits Peak Memory Bandwidth: 652.80 GB/s

Device[1]: NVIDIA GeForce RTX 2070 SUPER Device[2]: NVIDIA TITAN Xp Device[3]: Tesla K40c GPU_total_mem = 12652838912 graph_mem = 162349736 Time on generating the edgelist: 0.070154 sec Edge parallel: edgelist size = 16518947 max_blocks_per_SM = 0 CUDA triangle counting (65536 CTAs, 256 threads/CTA) runtime [gpu_base] = 2e-06 sec throughput = 8259.47 billion Traversed Edges Per Second (TEPS) total_num_triangles = 0

OpenMP (which seems to work fine)

./tc_gpu_base 0 /home/ghadeer/cit-Patents/graph Triangle Counting (for undirected graphs only) Using DAG (static orientation) tc_gpu_base: ../common/graph.cc:8: Graph::Graph(std::string, bool, bool): Assertion `f_meta' failed. Aborted (core dumped) [gaa54@ithaca bin]$ ./tc_gpu_base Usage: ./tc_gpu_base [num_gpu(1)] [chunk_size(1024)] Example: ./tc_gpu_base /graph_inputs/mico/graph [gaa54@ithaca bin]$ ./tc_omp_base /home/ghadeer/cit-Patents/graph 0 Triangle Counting (for undirected graphs only) Using DAG (static orientation) Orientation enabled, using DAG Time on generating the DAG: 0.215716 sec |V| 3774769 |E| 16518947 Launching OpenMP TC solver (32 threads) ... runtime [omp_base] = 0.241254 sec total_num_triangles = 7515023

Thank you

[chenxuhao]

Have you set this flag for your GPU?

CUDA_ARCH := -gencode arch=compute_70,code=sm_70

[AbandiGa]

Yes, I set this flag for my GPU but I still have the same problem.

[chenxuhao]

Yes, I set this flag for my GPU but I still have the same problem.

which GPU do you use? I don't see this problem with a V100.