![]() ![]() ![]() 21 22 23 Breakpoint 1, 0x00000002009f50c8 in ma4()> () 24 (cuda-gdb) step 25 Single stepping until exit from function _Z3ma4v, which has no line number information. 6 (cuda-gdb) l 7 16 c = (float)threadIdx.x+blockIdx.x 8 17 } 9 18 10 19 _global_ void ma4(void) 14 (cuda-gdb) break ma4() 15 (cuda-gdb) run 16 17 18 Breakpoint 1, 0x00000002009f50c8 in ma4()> () 19 (cuda-gdb) step 20 Single stepping until exit from function _Z3ma4v, which has no line number information. The program would be compiled using NVIDIA's own ~]$ module add ~]$ nvcc -o testGPU testGPU.1 $ nvcc -g -arch =sm_52 -ptxas-options =-v -compiler-options "-O3 -mcmodel=medium" ma4.cuģ NVIDIA (R) CUDA Debugger 4 7.5 release 5. Void saxpy(int n, float a, float *x, float *y) ![]() ![]() Bus Type PCI Express 3.0 x16, API Supported OpenCL, OpenACCįor applications that require this information:.3584 CUDA cores Graphics Engine NVIDIA Tesla P100.16GB HBM2 Memory with a Type PCI Express 3.0 x16 interface (bandwidth 720 Gbps).Key features of the P100 GPU accelerator include: 48 GB GDDDR6 with ECC (696 GB/s bandwidth).Key features of the Ampere A40 GPU accelerator include: GPU hardware consists of a number of key blocks: The CUDA platform is designed to work with programming languages such as C, C++. It allows you to program a CUDA-enabled graphics processing unit (GPU) for general-purpose processing. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. ![]()
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