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Nvprof insane cudalaunch time managed memory
Nvprof insane cudalaunch time managed memory













nvprof insane cudalaunch time managed memory
  1. #Nvprof insane cudalaunch time managed memory serial#
  2. #Nvprof insane cudalaunch time managed memory code#

And there are 17 malloc calls to allocate this trivially small array. On the platform I tested (Windows 8, mobile class Fermi GPU), the kernel to write a value into the image takes about 2us. Have a look at this profiler output for that code: >nvprof a.exe

#Nvprof insane cudalaunch time managed memory code#

I will leave the copy code as an exercise for the reader (hint: the array of pointers the function returns is extremely useful there), but there is one comment worth making. Moores law has slowed, and it turns out there are limits to the doubling of transistors every 18 to 24 months. Int j = blockIdx.x*blockDim.x + threadIdx.x

nvprof insane cudalaunch time managed memory

Int i = blockIdx.y*blockDim.y + threadIdx.y _global_ void intialiseImage(Image image, const int p_val) ' Count Avg Size Min Size Max Size Total Size Total Time Name 12 1.3333MB 128.

#Nvprof insane cudalaunch time managed memory serial#

This program works perfect as a serial program. When we run nvprof on K80 we get the follwing. So, the total number of global memory loads is 36 and the number of global memory stores is 72. The number of loads in the kernel is 36 (accessing dIn array) and the number of stores in the kernel is 36+36 (for accessing dOut array and drows array). The array is a data member of an Image class. 1 I'm using nvprof to get the number of global memory accesses for the following CUDA code. 1File->Import2Select Nvprof then Next >3Select Multiple Process then Next > 4 Click Browse next to Timeline data file to locate the. I'm working with an image that is stored pixel by pixel within a 2D array.

nvprof insane cudalaunch time managed memory Output of nvprof (except for tables) are prefixed with , being the process ID of the application being profiled.

Disclaimer: I'm not ENTIRELY lost here, but I just need some guidance. The RAPIDS mortgage analysis launch demo was spending 90 of its time in memory allocation and deallocation. For each kernel, nvprof outputs the total time of all instances of the kernel or type of memory copy as well as the average, minimum, and maximum time.















Nvprof insane cudalaunch time managed memory