Nvprof metrics list 0,1,2,…,none. Improve this answer. e. I can profile the code without any errors, however, when examining the results in nvvp, there is no data for the GPUs. Therefore, I would like to use nvprof + nvvp (CUDA 10. nvprof. /myprogram I would like to collect a small set of metrics in one command line instead of having to use . g. global_load_requests: 128 gld_transactions: 1024 gld_transactions_per_request: 8. It enables the collection of a timeline of CUDA-related activities on both CPU and GPU, including kernel execution, memory transfers, memory set and CUDA API calls and events or metrics for CUDA kernels. You can also use --devices to filter which local devices to query. 344031 but using occupancy calculator , I am finding 75%. Follow answered Dec 20, 2019 at 7:34. /6. 1 but it works with 10. e. nvprof does seem to have metrics that can be collected for NVLink activity. The profilers are not intended to be used in this way with applications that make use of CUPTI. /myprogram as a separate command. out ======== Warning: Skipping profiling on device 0 since profiling is not supported on devices with compute capability 7. /p84. I am new to CUDA and therefore trying to understand which metrics is important for performance. You can see this very clearly if you run the output through the NVIDIA Visual Profiler (nvprof -o xxx . The available metrics can be queried using --query-metrics Mar 4, 2020 · For a perfectly coalesced accesses to an array of 4096 doubles, each 8 bytes, nvprof reports the following metrics on a Nvidia Tesla V100:. Oct 16, 2020 · このようにして、nvprofの結果をprofile. I wrote a kernel for calculating the sum of absolute difference between matrices. /myprogram My question is: is there something like. – Jan 18, 2018 · A partial file nvprof creates does contain more metrics for kernels, but, again, nvprof always breaks and I cannot see metrics on a timeline. 1. Jan 18, 2023 · I am having trouble getting metric information with nvprof. Mar 2, 2024 · While nvprof would allow you to collect either a list or all metrics, in NVIDIA Nsight Compute CLI you can use regular expressions to select a more fine-granular subset of all available metrics. In fact, the command format is pretty similar. Multiple values can be selected, separated by commas only (no spaces). *" to collect all metrics, or --metrics "regex:smsp__cycles_elapsed" to collect all "smsp__cycles_elapsed Nsight Compute Cli（命令行）性能剖析的参数与nvprof不一样，当输入nvprof的参数抓取数据时，因为参数不识别，无法抓取希望得到的指标，如下图所示，因为输入nvprof的性能参数，无法识别，因此没有抓到有用信息；同时，Nsight Compute Cli性能参数成千上万，虽然可以 Apr 21, 2016 · I'm trying to figure out what exactly each of the metrics reported by "nvprof" are. This thread seems to describe the same issue, but there is no solution. nvprof --metrics execution_time . . nvprof --queryevents. Use --devices and --kernels to select a specific kernel invocation. Many metrics give messages of the type “Error: Internal profiling error…” It is not clear why certain metrics fail, as they appear in the list of available metrics when I run ````nvprof --query-metrics```. Jun 2, 2021 · I have pretty old cuda book released around 2014 which focuses on Fermi and Kepler named “Professional Cuda C programming”. The default search directory and location of pre-defined section files is also called sections/. My understanding from the profiler documentation is that the sm_efficiency metric reports the percentage of time where there is at least one active warp on an SM and that “active warps” include warps that are stalled. Multiple metric names separated by comma can be specified. CC5. Full list of options you can find in NVIDIA nvprof documentation. You need to use Nsight Compute. Leveraging cuBLASDx and cuFFTDx, these new May 5, 2014 · I am using nvprof to measure achieved occupancy and I am findind it as Achieved Occupancy 0. To see these, on a system that is applicable (e. $ nvprof --events warps_launched,local_load --metrics ipc matrixMul To see a list of all available events on a particular NVIDIA GPU, type nvprof --query-events. 5 on linux, and I have no trouble running nvprof --query-metrics on it. This is documented in the profiler documentation:. Running nvprof i get these To see a list of all available events on a particular NVIDIA GPU, type nvprof --query-events. This doc says that To verify whether Tensor Cores are being used in your inference, you can profile your inference run with nvprof and check if all the GEMM CUDA kernels (GEMM is used by MatMul and convolution) have 884 in their name. Dec 21, 2017 · No matter the framework, nvprof will monitor GPU calls made by test. 解决 nvprof 报错ERR_NVGPUCTRPERM - The user does not have permission to profile on the target device，代码先锋网，一个为软件开发程序员提供代码片段和技术文章聚合的网站。 default, all available sections are selected. 0. community wiki The nvprof profiling tool collects and views profiling data from the command-line. 344031 0. A double-precision log operation seems to involve about 44 double-precision floating point adds, mulitplies, and multiply-adds, and one single precision "special" floating point op. local_load_transactions_per_request: Average number of local memory load transactions performed for each local memory load Specify the metrics to be profiled on certain device(s). Nov 23, 2024 · nvprof --metrics branch_efficiency . nvprof is able to collect multiple events/metrics at the same time. Running on a Tegra X1, it averages at about 47ms, with 1584 blocks and 1024 threads per block. Use the --cpu-core-events=help switch to see the full list of values. If you want help, you're probably going to have to provide more information. 5, nvprof no longer appears to be supported. py. Which device(s) are profiled is controlled by the --devices option. 000000 Aug 18, 2020 · Ask questions, find answers and collaborate at work with Stack Overflow for Teams. Here is one of them. The code used follows this classic first cuda program. See the Profiling Guide for more details. In newer versions of nsight systems, a new capability has been added. Is this interpretation correct? Is the sm_efficiency a percentage of the kernel’s total runtime? Since sm_efficiency Oct 24, 2011 · Metrics Available (on a K20) nvprof --query-metrics | grep flop flops_sp: Number of single-precision floating-point operations executed by non-predicated threads (add, multiply, multiply-accumulate and special) flops_sp_add: Number of single-precision floating-point add operations executed by non-predicated threads flops_sp_mul: Number of Aug 31, 2018 · Actually I need to correct my comments. I don't know what causes this, as nvidia-smi clearly shows that the GPUs are utilized. Jan 10, 2016 · I have a gtx 960 with CUDA 7. another metric is: “stall_other: Percentage of stalls occurring due to Aug 30, 2019 · Using nvprof to measure floating point operations of my sample kernels, it seems that there is no metrics for flop_count_dp_div, and the actual double-precision division operations is measured in t For other combinations, it's not possible to get nvprof to display an arbitrary collection of profiling data in a single run. May 21, 2015 · The total time of the API call is from the moment it is launched to the moment it completes, so will overlap with executing kernels. CUDA device code activity). *" to collect all metrics, or --metrics "regex:smsp__cycles_elapsed" to collect all "smsp__cycles_elapsed Apr 8, 2019 · I had a few questions about the sm_efficiency metric. I wrote a very basic code just to help figure this out. Local Memory Metircs. *" to collect all metrics, or --metrics "regex:smsp__cycles_elapsed" to collect all "smsp__cycles_elapsed Jan 1, 2021 · While nvprof would allow you to collect either a list or all metrics, in NVIDIA Nsight Compute CLI you can use regular expressions to select a more fine-granular subset of all available metrics. $ nvprof --events warps_launched,local_load --metrics ipc matrixMul May 8, 2017 · b) other Metrics. Jul 28, 2015 · I compiled both with caching and non-caching options (-Xptxas -dclm={ca,cg}) and benchmarked with nvprof, extracting the following metrics: ldst_issued: Issued load/store instructions; ldst_executed: Executed load/store instructions; gld_transactions: Global load transactions; gst_transactions: Global store transactions May 31, 2019 · As I mentioned on the other post: nvprof does not support metric collection on RTX2060 (compute capability 7. They apply to CUDA kernels (i. /a. Dec 13, 2018 · when you query all possible metrics that can be collected using nvprof, one of them is: " issue_slot_utilization: Percentage of issue slots that issued at least one instruction, averaged across all cycles" what is an issue slot? Is it a hardware component in a scheduler, or is it a synonym for instruction cycle? 2. Are there any other profiling methods? Oct 21, 2022 · On attempting to use nvprof to profile my program, I receive the following output with no other information: <program output> ===== Warning: No profile data collected. More specifically I can't figure out which transactions are System Memory and Device Memory read and writes. Use NVIDIA Nsight Compute for GPU profiling and NVIDIA Nsight Systems for GPU tracing and CPU sampling. To see a list of all available events on a particular NVIDIA GPU, type . --cpu-core-metrics. out 256 33554432 ======== Warning: Skipping Oct 19, 2016 · I am trying to understand the nvprof metrics. Certain nvprof command options (not all) can be issued via nsys. Alternatively, you can collect a set of individual metrics using --metrics. has NVLink), run a command such as: nvprof --query-metrics or Oct 27, 2017 · I am using this command to generate the metrics for 1 kernel. dram_read, dram_write, gld_read, gld_write all Sep 16, 2019 · Using Nsight Compute: Just as you could with nvprof, you can query the metrics that are available. To see a list of all available metrics on a particular NVIDIA GPU, type nvprof--query-metrics. nvprof . Jul 12, 2023 · When I list nvprof's metrics with nvprof --query-events I see: thread_inst_executed: Number of instructions executed by the active threads. That works for me even if compiled with nvcc version 10. This allows us to see what's happening in any section of a code, in particular when a specific kernel is running. You can also refer to the metrics reference . Use --list-sections to see the list of currently available sections. *" to collect all metrics, or --metrics "regex:smsp__cycles_elapsed" to collect all "smsp__cycles_elapsed Multiple values can be selected, separated by commas only (no spaces). A metric is a characteristic of an application that is calculated from one or more event values. Try: May 2, 2013 · You can use the following command that lists all the events available on each device: nvprof --query-events. If you require output that is only available in a particular mode, you will need to run in that mode to get that output. c) different variables dependent on the GPU you have. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Apr 18, 2019 · nvprof supports both events (raw counters) and metrics. Jul 1, 2019 · I get the same result when using nvprof version 10. However, a LOT of the metrics there have either typos in it or are versed a bit differently in nvprof than they are on the site. Use the --cpu-core-metrics=help switch to see the full list May 26, 2021 · The documented "metrics" don't apply to the operations (data copying) that NCCL is doing. These metrics will be indicated for the specific GPU you are using. What do you mean “to collect metrics from UI”? I know there is a way to run remote profiling with nvprof from Visual Profilier. The difference is min time is due to launch overhead. Here's an example: nvprof. py Share. /myApp, then import xxx into nvvp). Jul 13, 2018 · NVPROF ipc metric is calculated as SUM(sm_inst_executed) / SUM(sm_active_cycles) This results in the average IPC of a single SM. So this solution is general. Lot of examples mention about nvprof but with my system (rtx2070) with compute capability 7. nvprof --metrics all --log-file log. 5 and higher. For NVIDIA Nsight Compute CLI, this functionality is the same. Here are a couple of reasons why Visual Profiler may fail to gather metric or event information. The available metrics can be queried using --query-metrics Jan 1, 2022 · While nvprof would allow you to collect either a list or all metrics, in NVIDIA Nsight Compute CLI you can use regular expressions to select a more fine-granular subset of all available metrics. is able to collect multiple events/metrics at the same time. none. Use the --cpu-core-metrics=help switch to see the full list Multiple values can be selected, separated by commas only (no spaces). 0 and use that version of nvprof instead. For each instruction it increments by number of threads, Jun 10, 2016 · What is the correct option for measuring bandwidth using nvprof --metrics from the command line? I am using flop_dp_efficiency to get the percentage of peak FLOPS, but there seems to be many options for bandwidth measurement in the manual that I don't really understand what I am measuring. I have had nvprof work on my system before, however I recently had to re-install cuda. Jan 9, 2024 · Available Metrics: Name Description; inst_per_warp: Average number of instructions executed by each warp; branch_efficiency: Ratio of non-divergent branches to total branches; warp_execution_efficiency: Ratio of the average active threads per warp to the maximum number of threads per warp supported on a multiprocessor Mar 2, 2024 · For nvprof, you can use --query-metrics to see the list of metrics available for the current devices on your machine. 1, driver: 418). Mar 16, 2021 · Amongst other things, you will get a pareto list of GPU activities (broken into separate pareto lists of kernel activities and memory copy activities) and a pareto list of API calls. Explore Teams Jan 1, 2019 · While nvprof would allow you to collect either a list or all metrics, in NVIDIA Nsight Compute CLI you can use regular expressions to select a more fine-granular subset of all available metrics. Otherwise metrics will be collected on all devices. Oct 5, 2018 · nvprof --metrics dram_read_transactions . txt --csv --profile-api-trace none myapp. For a list of available metrics, use --query-metrics. Dec 20, 2019 · CUDA_VISIBLE_DEVICES=1 nvprof --analysis-metrics -o metrics python test. 0, developers now have access to new tile-based programming primitives in Python. These can be queried using the following commands: nvprof --query-events nvprof --query-metrics. The new tools make considerably more metrics available to the developer — you might wish to save the results to a file. nvpとして、保存します。 scpなどでローカルマシンに結果を転送. Use --metrics all to profile all metrics available for Mar 1, 2021 · While nvprof would allow you to collect either a list or all metrics, in NVIDIA Nsight Compute CLI you can use regular expressions to select a more fine-granular subset of all available metrics. Maxwell/Pascal SMs have a maximum SM IPC of 6. To see a list of all available metrics on a particular NVIDIA GPU, type --query-metrics. exe I get about 120 lines of output for the performance counters. このprofile. Try downloading for instance CUDA 10. You may need to run nvprof multiple times to get all the output info or data that you'd like to Use --list-sections to see the list of currently available sections. For example, you can use --metrics "regex:. This is not very complete, but it's a good start to understand what these events/metrics are. The results ar. Here's an example: I'm familiar with using nvprof to access the events and metrics of a benchmark, e. command gives timestamps for start time, kernel end times, power, temp and saves the info an nvvp files so we can view it in the visual profiler. For a list of available metrics, use --query-metrics. Use --metrics all to profile all metrics available for each device. Collect metrics on the CPU core. nvpをscpコマンドなどを用いて、ローカルマシンにダウンロードし、NVIDIA Visual Profilerで見てみます。 Aug 22, 2019 · I have recently installed Cuda on my arch-Linux machine through the system's package manager, and I have been trying to test whether or not it is working by running a simple vector addition program Stack Exchange Network. Dec 1, 2014 · Hey ladakis, Does nvprof list the standard metrics such as ipc and flop_count_sp? Could you please post the output of nvprof with the --query-metrics and --query-events flags. For example, tried branch efficienty metric: nvprof --metrics branch_efficiency . Also, there the variables are not tagged, so you can't tell just by looking whether they are a),b) or c). 5). 5. , The. *" to collect all metrics, or --metrics "regex:smsp__cycles_elapsed" to collect all “smsp__cycles_elapsed Dec 5, 2024 · With the latest release of Warp 1. Jul 19, 2013 · To see a list of all available metrics on a particular NVIDIA GPU, type nvprof --query-metrics. While the API Nov 27, 2012 · --metrics for some custom metrics (like shared load transactions, dram utilization etc - full list of metrics you can view by typing nvprof --query-metrics in your command line). jcuoykucgzsbgpimfhbybcrovjdmjuyzcpomxfyunegnogdxwus