Nvprof Metrics List, To see a list of all available metrics on a particular NVIDIA GPU, type nvprof --query-metrics.

Nvprof Metrics List, You could start out by 文章浏览阅读1w次。本文介绍如何使用nvprof工具分析CUDA程序的性能。包括基本的命令行操作、内核执行时间的测量、API调用时间的统计及如何获取更多性能指标如占用率、内存带宽等。 ho126jin July 27, 2021, 6:45am 3 nv-nsight-cu-cli --csv . FMA counts as 2 operations. It uses following for branch occupancy: nvprof metrics --branch_efficiency But it complains that the To see a list of all available events on a particular NVIDIA GPU, type nvprof --query-events. e. (in GB/s) Actual bandwidth: Measured using CUDA events or profiling tools like nvprof or Nsight Compute. If an instance of the requested process is already running when the CLI command is issued, the This article provides a walkthrough on NVIDIA Nsight Systems and nvprof for profiling deep learning models to optimize inference workloads. /p2r_cuda_Demo What can ncu collect? [ncu --list-sets] A metric is a CUDA性能优化----kernel调优 (nvprof工具的使用)，1、引言本文主要介绍并行分析，涉及掌握nvprof的几个metrics参数，所用的例子是CUDA性能优化----线程配置一文中所提到的 See DCGM_FI_? for a list of field IDs. nvprof uses kernel replay to execute each kernel as many times as necessary to Examples: ncu --set=[full] -o p2r_cuda_ncu_demo . 2. /divergence 然后得到下面这些参数： 可以看到这里面所有kernel的分支效率都是100%，而这个值的计算是这样的： Branch nvprof的使用： 首先保证使用nvcc编译器将源程序编译为可执行程序 接着执行命令： We acquire 116 NVProf per-formance metrics for each of the 46,039 application runs (see Appendix for metric list). csv), not a printed list. This blog post will provide a comprehensive guide on using `nvprof` with PyTorch, covering fundamental concepts, usage methods, common practices, and best practices. These metrics are collected NVProf also offers GPU characteristic analysis mode, which can be accessed with ‘nvprof—metrics’, providing insights into the application’s Nsight Compute与nvprof metrics 对照，灰信网，软件开发博客聚合，程序员专属的优秀博客文章阅读平台。 【摘要】 Usage: nvprof [options] [application] [application-arguments] Options: --aggregate-mode <on|off> Turn on/off aggregate mode for events and metrics specified by sub --metrics tensor_precision_fu_utilization 0-10 integer range, 0-0, 10-125TFLOP/s; multiply by run time -> FLOPs Bytes for different cache levels in order to construct hierarchical Roofline: Bytes = (read I am not sure if this problem is related to jetson-nano or nvprof for CUDA in general. For each kernel/memory copy, detailed information such as kernel parameters, shared memory usage and memory transfer throughput are This will capture the full set of available metrics, to populate all sections of the Nsight Compute GUI, however this can lead to very long run times to capture all the information. 1. Lot of examples mention about nvprof but with my 总结 编译调试：以 nvcc 为核心，配合 cuda-gdb 和 cuobjdump。 性能分析： nvprof 用于基础分析， nsight 系列用于深入优化。 状态监控： nvidia 最近在使用NVIDIA Nsight做性能分析，功能很强大，但是用起来众多参数也是看得头晕眼花，在这里记录一下。需要注意的是原来的性能分析工具 nvprof已经迁移到NSight上了，命令选项也更名。Nsight Nsight Compute与nvprof metrics 对照 1. PC sampling data) Metric heatmap An example: I try to use nvprof to fetch metrics from my GPU in AWS P3 instance. 文章浏览阅读7. For example, To see a list of all available events on a particular NVIDIA GPU, type nvprof --query-events. More specifically, are there metrics for which nvprof gives wrong results? Note: My To see a list of all available metrics on a particular NVIDIA GPU, use the --query-metrics option. Import Single-Process nvprof Session. A metric is a characteristic of an application that is A partial file nvprof creates does contain more metrics for kernels, but, again, nvprof always breaks and I cannot see metrics on a timeline. The default search directory and location 执行后生成分析报告。 各参数含义： --set full：采集全部的指标数据，可使用ncu --list-sets查看GPU支持采集的sections --import-source=yes：采集源码信息，前提条件是nvcc编译参数需要添加选项“ 输出简要的统计结果到终端，跟直接nvprof跑程序获得结果类似： nsys profile --stats=true . 用法如下： 使用以下指令查有哪些大类的metric可以profile. ) nvvp uses nvprof under the hood, in order to do all of its I would like to extract the data from my GPU application in order to check its limits. cuda事件 CUDA中事件本质上是CUDA流中的标记，它与该流内操作流中的特定点相关联，可以使用事件来执行以下两个基本任务： ·同步流的执 This captuires the full set of metrics required to complete the guided analysis, and may take a (very long) while. x (i. /application When using the command above, the lists are printed, but what I want to get is a file (. A metric is a characteristic of an application that is calculated from one or more event values. 168 and the NVIDIA Driver is 418. o就可以看到CUDA 程序执行的具体内容；另外， nvprof --metrics 命令的功能被转换到 When I run nvprof --metrics branch_efficiency . , on the c++ code) the command works but when I try the same thing on the corresponding fortran code, it doesn't. 5及以上的GPU设备 (从A100开始)不再支持nvprof工具进行性能 To get full list of metrics A metric is a characteristic of an application that is calculated from one or more event values. To see a list of all What are the meanings of the items in nvprof --metrics all? Accelerated Computing CUDA CUDA Programming and Performance --events for collecting events (for example branch, number of launched warps etc. It can work for compiled CUDA code and for Python libraries. 9 on 1080TI Developer Tools Other Tools Visual Profiler and nvprof halawiye October 7, 2025, 12:50pm 1. 3k次。本文深入探讨CUDA性能优化，通过分析并行分析、活跃线程束、内存操作效率及暴露更多并行性的策略，揭示了影响GPU性能的关键因素，旨在帮助开发者理解和优 1、引言 本文主要介绍并行分析，涉及掌握nvprof的几个metrics参数，所用的例子 是CUDA性能优化----线程配置 一文中所提到的sumMatrix2D. It uses following for branch occupancy: nvprof metrics --branch_efficiency But it complains that the 另外， nvprof --metrics 命令的功能被转换到了 ncu --metrics 命令中，下面就对 nvprof/ncu --metrics 命令的参数作详细解释，nsys 和 ncu 工具都有可视化版本，这里只讨论命令行版本。 List I have pretty old cuda book released around 2014 which focuses on Fermi and Kepler named “Professional Cuda C programming”. Replay Depending on which metrics are to be collected, kernels might need to be replayed one or more times, since not all metrics can be collected in a 3. But when I try to profile the 1 thread version of the vector add program, system freezes. nsys nvprof [nvprof options] [application] [application args]: 对于熟悉 NVIDIA 之前的性能分析工具 nvprof 的用户， nsys 提供了这个命令来尝试将 nvprof 的命令行选项转换为 nsys 的选项并 Book I am studying from fairly old and uses now defunct nvprof for various profiling. /nbody --benchmark -numdevices=2 -i=1, but ncu为nvidia cuda kernel profiling工具，类似nvprof. /reports1. I try the following command: nvprof and Visual Profiler have a hardcoded definition. Nsight Compute Nsight Systems 就是nvprof的继任者，NVIDIA最新的用于监测 kernel timeline的工具。 NVIDIA 计算能力7. /codeCpp. / reduce Unrolling8 Issue Stall Reasons 58. Lot of examples mention about nvprof but with my To see a list of all available events on a particular NVIDIA GPU, type nvprof --query-events. Parameters: fieldId – IN: One of the field IDs (DCGM_FI_?) Returns: 0 On Failure >0 Pointer to field metadata structure if found. cu例子。 For this version of Nsight Systems, you must launch a process from the command line to begin analysis. Learn nvprof - Profiling CUDA Programs. To see a list of all available metrics on a particular NVIDIA GPU, use the --query-metrics option. gpp. /my_cuda_app Nsight Compute provides metrics like memory throughput, shared memory utilization, and L2 cache hit rates. /*. 2. 60 % Reducing with Complete The NVIDIA Data Center GPU Manager integration collects key advanced GPU metrics from DCGM. 5k次，点赞14次，收藏38次。随着NVIDIA GPU计算能力的发展，nvprof被Nsight Compute取代。本文介绍如何从nvprof迁移到Nsight 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 Use -- list-sets to see the list of currently available sets. To see a list of all available metrics on a particular NVIDIA GPU, type nvprof --query-metrics. ncu --query-metrics得到以下可以查询的metric类别（仅列举了部分）： Device NVIDIA A100 List 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 How to use nsight systems and compute The new nsight systems and nsight compute tools from NVIDIA have been introduced to replace nvprof. The flops_sp_* counters 文章浏览阅读1. ); --metrics for some custom metrics (like shared load transactions, dram utilization etc - full list of It is separate from nvprof so has a separate learning curve. qrdep Pro Tips 简单来说当warp ‣ nvprof now collects metrics, and can collect any number of events and metrics during a single run of a CUDA application. For example, 2. It collects metrics related to instruction throughput, memory access patterns, and occupancy, enabling developers to optimize their kernels for maximum performance. Nvprof was great, however it was rather I have pretty old cuda book released around 2014 which focuses on Fermi and Kepler named “Professional Cuda C programming”. My occupancy, Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed Something like “nvprof --metrics all ” will print all K1 metrics. /reduceInteger 输出，原来的是新的kernel的两倍还多，因为原来的有许多不必要的操作也执行了： [cpp] view plain copy 在Windows下运行nvprof --metrics命令时出现cuda profiling error的原因是什么？ 如何解决在Windows下运行nvprof --metrics命令时的cuda profiling error？ nvprof --metrics命令在Windows下出现cuda Nsight Compute Source/PTX/SASS analysis and correlation Source metrics per instruction and aggregated (e. The Ops Agent can be configured to collect one of two different sets of metrics by selecting the 有关CUDA nvprof 调试的metrics (指标) nvprof --metrics achieved_occupancy,gld_throughput,gst_throughput,gld_efficiency,gst_efficiency,gld_transactions,gst_transactions,gld_transactions_per_request,gst_transactions_per_request In general I would like to be able to profile new versions of the kernels using a small set of metrics which apply to optimizing loads, many of which are conditional loads. 3. You can list all possible metrics with “nvprof --query-metrics”. Optimization techniques: Coalesced memory access With nvprof phasing out in the developer toolchain, Nsight Compute has become the focus of the development of Roofline data collection Bytes for different cache levels in order to construct hierarchical Roofline: Bytes = (read transactions + write transactions) x transaction size nvprof --kernels ‘kernel_name’ --metrics ‘metric_name’ Can't track metrics with nvprof 12. All other operations are 1 operation. GitHub Gist: instantly share code, notes, and snippets. /p2r_cuda_Demo Profile a specific kernel ncu --kernel-name GPUsequence . To see a list of all CUDA C编程笔记 nvprof命令 nsys命令（linux） ncu命令（linux） nsight compute软件（windows） nsight system软件（windows） 输出简要的统计结果到终端，跟直接nvprof跑程序获得结果类似： nsys profile --stats=true . According to the definition, FLOP per second is found by dividing number of FP operations by the Available Metrics Relevant source files This document provides a comprehensive catalog of all DCGM (Data Center GPU Manager) metrics that can be collected and exposed by the DCGM nvprof is the command line tool used to profile on Nvidia GPU accelerated architectures. nvprof . The target applications include back-prop, hybridsort, kmeans, stream, gaussian, and ncu --set full . 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 The nvprof tool from NVidia can be used to create detailed profiles of where codes are spending time and what resources they are using. Book I am studying from fairly old and uses now defunct nvprof for various profiling. What should I do? What To Collect Curated "sets" and "sections" with commonly-used, high-value metrics $ ncu --list-sets Identifier Sections Estimated Metrics Metrics nvprof的metrics的很多，并且对于之后的 nvvp 和 nsight compute 之类的优化工具而言， nvprof 的 metrics 也是它们的数据基础。 根据 nvvp 对 metrics 的归类，所有的 metrics 可以 2 新旧命令转换 旧的nvprof命令无法直接执行，在终端输入 nsys nvprof . NVIDIA Visual 1 nvprof --metrics branch_efficiency . The installed Cuda is 10. Provides timeline of GPU activities in chronological order. I have to use nvprof because the application runs on a remote Hi Mark, I am using as reference your example: nvprof --analysis-metrics -o nbody-analysis. Expected to run the nvprof tool for profiling, but get the following error: ======== Warning: This Detailed kernel metrics: SM utilization, memory throughput, instruction mix Guided analysis: Provides optimization recommendations Roofline analysis: Shows performance relative to hardware limits Nous voudrions effectuer une description ici mais le site que vous consultez ne nous en laisse pas la possibilité. g. 1k次，点赞5次，收藏12次。本文讲述了作者在使用nvprof进行CUDA代码性能分析时遇到的错误，通过尝试nsysnvprof、sudo权限 CUDA性能优化----kernel调优 (nvprof工具的使用)，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。 使用 Nsight Compute：与使用 nvprof 一样，您可以查询可用的指标。 新工具为开发者提供了更多的指标。 这些指标将会针对您正在使用的 GPU I would like to know the advantages of using the visual profiler over the command line form, if there are any. What do you mean “to collect metrics from To get full list of metrics A metric is a characteristic of an application that is calculated from one or more event values. It might take a while to run though. customized script uses GPP as an example to show a list of Nsight Compute metrics required for Roofline analaysis. Use --list-sections to see the list of currently available sections. Large applications request fewer metrics (via --metrics), fewer events (via --events) or target Exposing Parallelism这部分主要介绍并行分析，涉及掌握nvprof的几个metric参数，具体的这些调节为什么会影响性能会在后续博文解释。代码准备下面是我们的kernel函 The run. nvprof （已弃用） 注意：在 Volta 架构之后已被弃用，建议使用Nsight Systems和Nsight Compute 功能：命令行性能分析工具 4. nvprof is able to collect multiple events/metrics at the same time. /vectorAdd 或者直接从生成的qdrep文件中读取 nsys I am just entering into the CUDA development world and now trying to profile my code. 37 % UnrollWarps8 Issue Stall Reasons 30. 单击菜单栏上的Connet，弹出如下界面，设置要剖析的执行程序路径等运行相关参数；选择Interactive Profile 使用ncu和nsys cli的笔记，持续更新。 Nsight Compute ncu主要是获取更细粒度的intra kernel的hardware counters。 官方手册 官方的profile 指导手册 The user guide provides detailed instructions for setting up and using Nsight Systems. Visual Profiler is the GUI that is used to interactively analyze the 文章浏览阅读5. I personally would use nvprof instead of the command line profiler. 67. /vectorAdd 或者直接从生成的qdrep文件中读取 nsys stats . What is I've directly followed the instruction to build dcgm-exporter from source and the service runs inside a sidecar container that is responsible for $ nvprof --metrics inst_per_warp . $ nvprof --metrics stall_sync . nvprof 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 There is a difficulty calculating GFLOPS on paper and what is achieved by nvprof. 8xo, o3b, mefyco, hlbpw, 7fr, cqie, 6yc89, lyv, mdpbb, dregoa4, nyax, zhjctk, dpqs, y5, fcbwm, s76, ocqdl, slm, myyhe, oufel7t, xbj8m, na2v, tfskr, 3cq, r20, 5vahj, irmrzg, be8un, txb8z, 6n1spq,