Each of the eight file downloads is its own subflow, and there's a subflow to open the automation browser and login as well as a subflow to run a couple scripts to process the Excel files into. Like, is it possible that this is simply a network issue and not a performance issue per se?Īnyway, so I have a web automation flow that logs in to a website and accesses eight different pages where it downloads an. PAD requires an internet connection to function at all, so I am wondering if the lag is not a real performance issue with the app running on my machine, but a symptom of poor network latency or dropped requests between my machine and Microsoft's backend for PAD. Have even tried increasing the priority for PAD executables in Task Manager - with no noticeable effect. I try to keep each flow as simple as possible by breaking up into short subflows and I try to close subflows that I am done editing and I save often! Pretty sure I'm doing all the right stuff. It seems to be a function mostly of how many actions have been added to a flow and possibly how many edits have been made since last save.
![nvidia web helper memory leak nvidia web helper memory leak](https://user-images.githubusercontent.com/17853744/106267148-8a652e00-6229-11eb-9064-4e466ea55526.png)
Obviously I try to give PAD the best chance to run smoothly, but it just seems to crap out regardless of what other apps I have open and how excessive my Chrome window+tab count has grown. PAD will be choking on a relatively short flow but I can simultaneously fire up 300 Chrome tabs without a hiccup! (usually). Should be able to handle some PAD editing no problem, right? But god almighty is this app laggy! Even after shutting down all programs and rebooting clean, Power Automate Desktop will intermittently run absurdly sluggish, despite the OS behaving normally otherwise. Running an i7-9700 3.00GHz with 16GB of RAM and 500GB SSD which is less than half full.
#Nvidia web helper memory leak windows 10#
nvidia_fft_cuda.lnx_rh61_x86_64_cuda5.Yeah this is killing me! I keep my Dell Optiplex with Windows 10 fully patched and typically have zero performance issue except when things get a little out of hand with hundreds of Chrome tabs or when I try to screen record triple wide 1920x1080 with OBS, yeah ok then I'm gonna hit a performance bottleneck with this machine if I really push it. nvidia_fft_cuda.lnx_rh61_x86_64_cuda5.0_tĬUDA error at nvidia_fft_cuda_t.cpp:95 code=4(cudaErrorLaunchFailure).
![nvidia web helper memory leak nvidia web helper memory leak](https://fixyournet.org/wp-content/uploads/2021/12/redhat-memory-leak.png)
nvidia_fft_cuda.lnx_rh61_x86_64_cuda5.0_tĬUDA error at nvidia_fft_cuda_t.cpp:82 code=6(CUFFT_EXEC_FAILED) "err"ĬUDA error at nvidia_fft_cuda_t.cpp:86 code=4(cudaErrorLaunchFailure) "cudaMemcpy(h_out, d_in, bytes_per_buffer, cudaMemcpyDeviceToHost)"ĬUDA error at nvidia_fft_cuda_t.cpp:95 code=4(cudaErrorLaunchFailure). My results (several runs, some work, some crash, different number of failures…).
![nvidia web helper memory leak nvidia web helper memory leak](https://cdn.appuals.com/wp-content/uploads/2019/01/5-14.png)
System: Dell M6600 Notebook, i7 gen3, RedHat Enterprise Linux 6.1, Nvidia Quadro 3000M (driver 304.54 and CUDA 5.0) LD_LIBRARY_PATH=/usr/local/cuda-5.0/lib64 PATH=/h/dyablons/bin:/usr/ucb:/usr/local/bin:/usr/lib64/qt-3.3/bin:/etc/profile.d:/usr/local/bin:/bin:/usr/bin //usr/local/cuda-5.0/bin/nvcc -arch=sm_21 -m64 -I/usr/local/cuda-5.0/include nvidia_fft_cuda_t.cpp -o nvidia_fft_cuda.lnx_rh61_x86_64_cuda5.0_t -L/usr/local/cuda-5.0/lib64 -lcufft -lcuda -lcudart create GPU buffersĬheckCudaErrors( cudaMalloc((void**)&d_in,bytes_per_buffer) ) ĬheckCudaErrors(cudaMemcpy(d_in, h_in, bytes_per_buffer, cudaMemcpyHostToDevice)) ĬheckCudaErrors( cufftPlan1d( &plan, fft_n_elems, CUFFT_C2C, 1 ) ) Įrr = cufftExecC2C(plan, d_in,d_in, CUFFT_FORWARD) ĬheckCudaErrors(cudaMemcpy(h_out, d_in, bytes_per_buffer, cudaMemcpyDeviceToHost)) // get result my utils cuda file should be the same as the helper_cuda.h from the SDK samples.
![nvidia web helper memory leak nvidia web helper memory leak](https://cdn.wccftech.com/wp-content/uploads/2020/06/NVIDIA-RTX-3000-Series-Feature-Image-2-2060x944.jpg)
It doesn’t seem that it’s actually a matter of when and where I create and destroy plans… I get inconsistent results either way.Įdit: struggling to post the whole code, forum seems to cut it off… here is the main portion:Ģ^16=64K pt FFT, loop of 10.
#Nvidia web helper memory leak code#
I simplified my code down enough to post, there’s not much to it.