Changes

From one of the suggested improvements in the algorithm post link. A potential improvement is changing from char& c to a const char in the for loop <syntaxhighlight lang="cpp">  for (char& c : input) { </syntaxhighlight > since char& c is not being modified. Otherwise we We did not see any other way to parallelize compressionthe algorithm.

Profiling the code shows that '''memcpycudaMalloc''' takes up most of the time spent. Even when <br>

It was difficult to find a solution because the initial copy always takes a bit of timeto set up.<br>

cadaMallocHost cudaMallocHost will allocate pinned memory which is stored in RAM and can be accessed by the GPU's DMA directly.

Here is we can see where an error occurs and onward where , we suspect that a memory leak causes the problem resulting in an error in pi calculation