![]() Including Rapidshare, MegaUpload, YouSendIt, Letitbit, DropSend, MediaMax, HellShare, HotFile, FileServe, LeapFile, MyOtherDrive or MediaFire, Hidden torrent files or shared files from free file sharing and free upload services, ![]() Download links are directly from our mirrors or publisher's website, ![]() Using warez version, crack, warez passwords, patches, serial numbers, registration codes, key generator, pirate key, keymaker or keygen for doubly-subscripted) array access.Top 4 Download periodically updates software information of hidden full versions from the publishers,īut some information may be slightly out-of-date. In this case, we’ll be looking at a CUDA code that does a matrix-matrix element-wise add operation, effectively a vector add, but using a 2D CUDA grid configuration, along with 2D (i.e. We’re going to analyze a code that is a variant of the vector add code that was used in the previous blog. inspecting timelines, measuring activity durations, etc.) can be performed using Nsight Systems. Many of the other profiler activities you may be interested in (e.g. This blog focuses on how to do that using Nsight Compute. If you’ve used either the NVIDIA Visual Profiler, or nvprof (the command-line profiler), you may have inspected specific metrics for your CUDA kernels. One of the main purposes of Nsight Compute is to provide access to kernel-level analysis using GPU performance metrics. For the example project in this blog, using the new tools will be necessary to get the results we are after for Turing architecture GPUs and beyond.Īs covered previously, Nsight Compute and Nsight Systems differ in their purpose and functionality, so profiling activities will be accomplished in one or the other of these new tools. ![]() ![]() The tools become more and more important when using newer GPU architectures. By now, hopefully you read the first two blogs in this series “ Migrating to NVIDIA Nsight Tools from NVVP and Nvprof” and “ Transitioning to Nsight Systems from NVIDIA Visual Profiler / nvprof,” and you’ve discovered NVIDIA added a few new tools, both Nsight Compute and Nsight Systems, to the repertoire of CUDA tools available for developers. ![]()
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