Nsight compute metrics. how values change over the runtime of your CUDA kernel.

• Nsight compute metrics Each request means a single instruction requesting for memory operation, while each sector being 32B is accessed multiple times per request whether addresses requested by a warp are coalesced enough or not. Nsight Compute provides a customizable and data-driven user interface and When I profile different kernels on Nsight Compute and view their roofline charts, nothing is shown for some kernels, such as the histogram (in CUDA samples), which doesn’t have floating point operations. The Since the question is about specific metrics provided by Nsight Compute, it seems to me the sub-forum dedicated to this tool would be a better place to ask: Nsight Compute. 2, including CUDA Graph API support, instanced metrics support in NvRules, Speed Of Light submetric breakdown, workflow and UI improvements, as well as performance improvements and bug fixes. This is because most metrics follow the same structure and have the same set of suffixes. When using Nsight Compute, focus on the following metrics to optimize performance: Occupancy: This indicates how well the GPU resources are utilized. Nsight Compute provides a customizable and data-driven user interface and As indicated in the nvprof transition guide Nsight Compute CLI :: Nsight Compute Documentation, branch_efficieny is not directly available in Nsight Compute at this point. And the tools offer some ways to understand better what the various metrics represent. 5, nvprof no longer appears to be supported. 4 and it works. Nsight Compute now natively supports macOS arm64. Specifically this part: Does this mean for example that dram__bytes. 1. If you run ncu --list-section, you are not specifying any sections or sets (group of sections) explicitly, so only the default set (basic) and its associated sections are shown as NVIDIA Nsight Compute uses Section Sets (short sets) to decide, on a very high level, the amount of metrics to be collected. Nsight Compute currently doesn’t automatically break down kernel metrics at the OptiX boundary for you, and traversal is generally excluded from the profiling metrics both to protect proprietary internals, and to help isolate the user program metrics and make them easier to understand and optimize. Or if your range happens to only contain that kernel, the range time in Nsight Compute may be close. For further details, see the Range and Precision section in the Nsight Compute Kernel Profiling Guide. g. The reference doc is Chap6. docs. I have pretty old cuda book released around 2014 which focuses on Fermi and Kepler named “Professional Cuda C programming”. My current understanding (AI100): Device → SMs->4 sub partitions{An individual: warp scheduler, , Execution units}. Currently, I use the following metrics to calculate the AI of the kernel: Time. Kernel Profiling Guide with metric types and meaning, data collection modes and FAQ for common problems. For example, the SOL Breakdown tables in the NVIDIA announced the latest Nsight Compute 2021. Descriptions. But when I use metric nvltx__bytes, ncu say fail to find metric. You We want to measure utilization of tensor core for which we would like to get the metrics values for tensor_precision_fu_utilization and tensor_int_fu_utilization For our deep learning inference (tensorflow) presently deployed on tesla T4 (Turing) and 2080 Ti (turing) (both are > compute capability 7. Metric options use a min-arch/max-arch range filter, replacing the base metric with the first metric option for which the current . And when I use Nvlink_Tables section, ncu say no metrics to I want to test the number of bytes transfered by NVLink on V100, GPUs are connected by NVLink. sum. OK I tested with Nsight Compute 2019. If an Nsight compute metrics for L1 and L2. Select one or more of the metric names from this file, and collect them via the command line. But I tested version 2019. NVIDIA Nsight Compute provides a customizable and data-driven user interface and metric collection and can Nsight Compute allows you to break down high-level metrics into their lower-level input metrics and report the individual results. If it is then look at the SOL Memory Breakdown for SOL L1: *. sm__throughput. The Metric Selection window can be opened from the main menu using Profile > Metric Selection. Is this mean that Hi, In the metric list, I see a section for NVLink. Added "Diff By" drop down menu for Opcode vs. It also has support for metric It is true that these 2 metrics should match, but in your case the don’t. Added new metrics available when profiling on CUDA Green Contexts. . *”, it extracts all metrics but with all values are “n/a”. even when using full metrics in NVIDIA Nsight. Reduced the number of passes required for collecting PM Sampling sections. com Nsight Compute CLI :: Nsight Compute Documentation. Also what is the version of Nsight Compute you are using? You can use: ncu --version. Monitoring/Assessment Tools. CUDA Programming and Performance Visual Profiler and nvprof. 0) I read we need to use the NsightCompute (and not Nvprof) tool Metrics Overview. The –cache-control none option can be used to disable flushing of any GPU caches by Nsight Compute. Improved performance when filtering by NVTX context in kernel and application replay. The UI also shows the descriptions when hovering over the metric as a tool tip. 3 adds a new Occupancy Calculator activity that helps you understand the hardware resource utilization of their kernels and model how adjustments could impact occupancy. Or Is the meaning represented by pcie__read_bytes and pcie__write_bytes the same in Nsight Systems, considering that both metrics exist within it? Thank you. 0. For example, tried branch efficienty metric: nvprof --metrics branch_efficiency . For example, one section might include only high-level SM and memory utilization metrics, while another could include metrics Metrics Overview. The UI executable is called ncu-ui. e. NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. 4: 869: September 1, 2023 Nsight Compute Overall GPU and BW Utilization info. The shared memory bypass metric notes that 134 MB came from global memory space. It shows if it is enabled or not, given the current sections/sets selection in your current command. 5. Nsight Compute host GUI now natively supports macOS arm64. This is because most To see the list of available PerfWorks metrics for any device or chip, use the --query-metrics option of the NVIDIA Nsight Compute CLI. I was optimizing our kernels, and got a decent spike in performance. 3 in Nsight Compute CLI :: Nsight Compute Documentation With regard to L2 read trans and L2 write trans, the last two terms are the same (lts__t_sectors_op_atom. 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. Because some of the metrics are with sum counter(ex. Supported platforms and GPUs. Hi, I profiled a simple matrix-multiplication in pytorch and the flops got from ncu report is less than the theoretical peak flops. Nsight Compute provides a customizable and data-driven user interface and NVIDIA Nsight Compute uses Section Sets (short sets) to decide, on a very high level, the amount of metrics to be collected. Does this mean if the kernel is allocated 10 wraps, and 6 wraps are used for computation in average, then Achieved Occupancy is 60%?. tensor_int_fu_utilization The utilization level of the multiprocessor function units that execute tensor core int8 instructions on a scale of 0 to 10. Each set includes one or more Sections, with each section specifying several logically associated metrics. This is similar to e. ones((n, n), dtype=torch. Metric names are composed of “base names” and “suffixes” and only valid combinations of these are considered valid metric names (there are exceptions, like the --metrics command line parameter, which also accepts base-only names). float32, device="cuda") # run the computation part for i in range(200): if i % 100 Nsight Compute is an interactive kernel profiler for CUDA applications. NVIDIA Nsight Compute is a powerful tool for profiling Nsight System uses various system hooks to accomplish profiling. NVIDIA Nsight Compute. Kernel Profiling Guide. per_second differ from dram_bytes. l1tex__average_t_sectors_per_request) . proto. NVIDIA Nsight In Nsight Compute, all metrics for devices within the Pascal family (Compute Capability(CC) 6. dram__bytes) and some of the metrics are with ratios (ex. To see the list of available PerfWorks metrics for any Metrics Overview. On 2080Ti which is CC=7. Nsight compute reports active warps per scheduler in scheduler statistics section and achieved occupancy in occupancy section. Version 2019. It tracks all metric sets, sections and rules currently loaded in NVIDIA Nsight Compute, Hi, I measures the thread divergence for performance analysis. However, what is the ‘wavefront’ metric in memory table of nsight-cu-cli? What is the exact meaning of it and metrics option of the NVIDIA Nsight Compute CLI. A comparison between the metrics used in nvprof and their equivalent in NVIDIA Nsight Compute can be found in the NVIDIA Nsight Compute CLI User Manual. 0>ncu --query-metrics | grep sm__cycles_active sm__cycles_active Counter cycle # of cycles with at least one warp in flight The NCU user interface can provide additional detail through tooltips and the Metrics Details pane accessible through the top level Profile menu. To see the list of available PerfWorks metrics for any NVIDIA Nsight Compute Kernel Profiling Guide. NVIDIA Nsight Compute uses an advanced metrics calculation system, designed to help you determine what happened (counters and metrics), and how close the program reached to peak GPU performance (throughputs as a percentage). All directories are relative to the base directory of NVIDIA Nsight Compute, unless specified otherwise. The base name is sm__throughput and the suffix is avg. Sections allow the user to specify alternative options for metrics that have a different metric name on different GPU architectures. Since there is a huge list of metrics available, it is often easier to use some of Note that their are currently no direct mappings for most nvprof *_efficiency metrics in Nsight Compute (see also Nsight Compute CLI :: Nsight Compute Documentation) lsysee August 21, 2019, 3:08pm 3. This is because most NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. Nsight Compute provides a customizable and data-driven user interface and Nvidia Nsight Compute Record and analyze detailed kernel performance metrics Two interfaces: GUI (nv-nsight-cu) CLI (nv-nsight-cu-cli) Directly consuming 1000 metrics is challenging, we use the GUI to help Use a two-part record-then-analyze flow with rai Record data on target platform download Analyze data on client Because I can’t explain some metrics correctly according to my understanding. This app executes a kernel "Bar" 100 times in a loop. For nvprof metrics, the following table lists the Nsight Compute allows you to break down high-level metrics into their lower-level input metrics and report the individual results. Every counter has associated peak rates in the database, to allow computing its throughput as a percentage. float32, device="cuda") y = torch. 1: 2463: January 17, 2013 Roofline model's different chart's understanding. It also provides a customizable, data-driven user interface See Metric Comparison for a comparison of nvprof and NVIDIA Nsight Compute metric names. 0: 1285: March 24, 2024 cuda constant cache and L2 cache. Each report section in nsight compute has "human-readable" files that indicate how the section is assembled. gpu__compute_memory_throughput. Metric Options. Nsight Compute is an interactive kernel profiler In both nvprof and NVIDIA Nsight Compute CLI, you can specify a comma-separated list of metric names to the --metrics option. Yes, that’s correct, the difference is in counting per warp or per thread. For example, the SOL Breakdown tables in the Speed Of Light section in version 2019. For efficiently optimizing your kernel's usage of shared memory the key ingredients are: (1) a basic mental model of the hardware implementation of shared memory on modern NVIDIA GPUs, (2) a clear definition of NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. For example, one section might include only high-level SM and memory utilization metrics, while another could include metrics Most metrics used in NVIDIA Nsight Compute are identical to those of the PerfWorks Metrics API and follow the documented Metrics Structure. How may I obtain an average kernel execution time for Bar, using Nsight Systems or Nsight Compute, either the GUI or CLI versions of these apps. 9. thanks for your detailed answer. Both of the kernels load matrix of size 1024x1024 half type matrix (row-major) from global memory to another part of global memory. gr__ is used when the metric is specific to the graphics engine (3D pipe, compute pipe, of 2D GPU performance metrics are broken in a weird way when using Nsight System / Compute. 5 supports the CUDA Toolkit 10. 2), it is also possible to ask for the base metric i. use --csv docs. Nsight Compute The output of this section would look similar to this screenshot in the UI. During remote profiling, the UI deploys the command line and support files, including these sections, to the remote machine. If you identified one specific metric that causes problems, you can remove them from the section file as a WAR to get unblocked. The team is looking into providing a matching mapping in a future release. It can also be used to simply launch Collection of the HW metric(s) will not change the values collected from SASS, and vice-versa will the SASS collection overhead not impact the precision of the HW metric. In addition, its baseline feature allows Metric Comparison NVIDIA Nsight Compute uses two groups of metrics, depending on which GPU architecture is profiled. The Nsight Compute metrics are Nsight Compute CERN Compute Accelerator Forum Felix Schmitt Mahen Doshi, Jonathan Vincent. Metric Options Sections allow the user to specify alternative options for metrics that have a different metric name on different GPU architectures. 2020. gpu__time_active and it prints out all the metric variants it knows of: . Hi all In order to get a roofline, I’m using Nsight compute to collect metrics related to L1 and L2. 5 are implemented this way. The metrics you listed have slightly different names. Improved tooltips for the memory chart. out 256 Nsight Compute Command Line Interface v2019. Hi Lakshay, We continuously try improving our documentation for the metrics we expose in Nsight Compute. sum,inst_executed -s 1 -c 1 my-app. max, . NCU --cache-control defaults to all (caches are flushed and invalidated). ones((n, n),dtype=torch. 2 Nsight Compute CUDA Kernel profiler Targeted metric sections for various performance aspects Customizable data collection and NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. x) devices should be the same, excepting new features in Hello, I’ve been trying to understand the Metric Entities Section from nsight compute documentation. pct_of_peak_sustained. per_second? The output of this section would look similar to this screenshot in the UI. metrics Because you need to use ranges, Nsight Compute doesn’t have metrics for individual kernels. 0 and it doesn't do The “Memory Throughput” and “DRAM Throughput” metrics require multiple passes. Hi, how does all metrics supported by ncu are calculated. com Added a new launch__stack_size metric in the Launch Statistics section to report the configured stack size. Release notes, including new features and important bug fixes. This is because most Nsight Compute is an interactive kernel profiler for CUDA applications. Nsight Compute provides a customizable and data-driven user interface and The “Enabled” column in the --list-sets output does not imply that the section is not working properly. In the meantime, please check if any of the following related metrics is useful for your case: Hi, My aim is to collect the details about memory-bandwidth utilization and compute-core utilization of TGI server. In addition the metrics system can automatically calculate a number of useful derived metrics. Also for these specific DRAM metrics the underlying hardware counters used by Nsight Compute and nvprof are different. That is, Warp State Statistics revealed issues with CPI Stall 'Long Scoreboard': On is there any way to see all the kernel used by my application?? since when I use nsight compute to profile my application without select kernel , the nsight compute will get stuck, so I’m thinking to get all kernels and profile one by one. avg is the average number of dram bytes accessed for the entire kernel? If so then how does dram_bytes. it takes the max of the two as its value. Nsight Compute. I don’t understand clearly the difference between this metrics, and how to the cycles counters related to the HW architecture. there coms the question: how to get all the kernels used by my application?? The reason that multi-pass is problematic is that the two metrics can be collected in different passes. I have some problem with how nsight compute profiling each instruction and what does stall_wait means. Suppose I have a simple CLI test app named "Foo". To evaluate in Nsight Compute whether the value is correct, look at the Excessive Sector Accesses on the Source Page. /matrixMul” For most metrics, Nsight Compute uses specific naming conventions (as detailed on the documentation page you linked). On some runs it is a bit better, but overall it is pretty unusable. Memory Chart now supports zoom and pan. NVIDIA Nsight Compute provides a customizable and data-driven user interface and metric collection and can This impacts particularly L2 cache metrics. The metric listed above is for all L2 accesses. 3. To see the list of available PerfWorks metrics for any device or chip, use I think I quite grasp the sectors/Req metric. 2: 458: September 20, 2023 Some metric set and section are not enable. For a program on RTX 3080, I see some performance metrics are weird. 083333 Metrics Overview. 5: 1412 Nsight Compute does not support instance values for metrics in general. FlyK April 17, 2023, 3:12am 5. With respect to the bandwidth utilization, that’s a Nsight Compute 2024. 4: 523: October 12, 2023 What is L2/L1/DRAM throughput here? Nsight Compute. This can be one reason for the differences in metric values between Nsight Compute and nvprof. It can print the results directly on the command line or store them in a report file. If you are looking for understanding your application performance over time and CPU and GPU work, you should use Nsight Systems . To understand section files, start with the definitions and documentation in ProfilerSection. New Chart mode allows CUDA Graph visualization of the graph structure. /a. Afterward, I use the following command to start profil Learn how you can get the most out of Nsight Compute to identify and solve memory access inefficiencies in your kernel code Requests, Wavefronts, Sectors Metrics: Understanding and Optimizing Memory-Bound Kernels with Nsight Compute | GTC Digital April 2021 | Is there any way I can get the result of nsight compute’s metric in csv file? felix_dt July 26, 2021, 9:26am 2. Hi @slyphix,. avg, . Nsight Compute provides a customizable and data-driven user interface and Thanks for your reply! Would you be possibly able to tell what is the rough timeline these metrics will get integrated? Regarding the executed instruction mix chart, is sass__inst_executed_per_opcode some magic metric that is only for drawing the charts in Nsight Compute? Is it possible to dump the raw data in the command line as well? 3. Refer Nsight Where can i find detail information of all the metrics and concept in the Nsight Compute? Nsight Compute. nvidia. For now you can collect one throughput metric using Learn how to effectively use Nvidia Nsight Compute for GPU computing performance analysis and optimization. NVIDIA Nsight Compute uses Section Sets (short sets) to decide, on a very high level, the amount of metrics to be collected. I use cuProfilerStart and cudaProfilerEnd to define a profiling range. 5, to get it work, I either have to use very old cuda toolkit that supports CC 7. Is there any metric for showing runtime properties? Nsight Compute. Most of these apply to both the UI and the CLI version of the tool. {avg, max, min, sum} sm__cycles_active. Since there is a huge list of metrics available, it is often easier to use some of Most metrics in NVIDIA Nsight Compute are named using a base name and various suffixes, e. To collect multiple metrics at one on the command line, separate them by NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. 2 is now available for download in the NVIDIA Registered Developer Program. (For some HW metrics, there can be a non-deterministic impact due to cache effects when manually disabling Nsight Compute’s cache control feature). since SpeedOfLight section collects the same, i went with ncu --replay-mode application -o profile --launch-skip 900 --section SpeedOfLight --metrics gpu__time_duration. sum and lts__t_bytes. 1 - New Features. 1 there is not a simple command line to generate the list without running a profiling session. Added a new sass__inst_executed_register_spilling metric which counts the number of load and store instructions that were created by the compiler due to register spilling. It tracks all metric sets, sections and rules currently loaded in NVIDIA Nsight Compute, independent from a specific connection or report. According to Nsight Compute documents, the wavefront means the units that can be processed in parallel. I was profiling some code with Nsight Compute and noticed this Memory Chart in one of my kernels. x) should be the same, and in general all metrics for Volta+ (CC >= 7. Thanks for the help. By using the - gpu__ is used for a metric when the metric is. The timeline is mostly empty, only showing metrics on a few locations. Collection of performance metrics is the key feature of NVIDIA Nsight Compute. In newer versions of nsight compute (e. Thank you for your reply. Full Instruction diffs. gpu__dram_throughput is a breakdown metric based on dram__throughput and fbpa__throughput, i. SM and each sub partition have individual cycle New Features in Nsight Compute version 2024. Section files are text-based files shipped with Nsight Compute that list the metrics to collect and their representation in the UI. 5 or below. ncu --metrics smsp__inst_executed. with CUDA 11. NVIDIA Nsight Compute uses an advanced metrics calculation system, designed to help you determine what happened (counters and metrics), and how close the program reached to peak GPU performance (throughputs as a percentage). Each set includes one or more Sections, with each section specifying several logically associated Nsight Compute 2021. 2, it seems that some metric sets are not enable, what is the reason? In fact, I can not see the not enable metric sets (for example, MemoryWorkloadAnalysis) in ncu or ncu-ui even through change user to root or run by sudo. per_second + lts__t_sectors_op_red. pct_of_peak_sustained_active achieved_occupancy 2. I set --sampling-interval 0 when I run nsight, which means sampling every 32 cycles. independent of an individual engine; includes derived metrics that have an engine unit and a shared resources (e. To get proper understanding of these metrics , I want to know how these metrics are calculated behind the execution of command ( example: ncu - In both nvprof and NVIDIA Nsight Compute CLI, you can specify a comma-separated list of metric names to the --metrics option. {avg, max, min, sum} Nsight Compute Documentation Nsight Compute Release Notes. I’m using an RTX 4080 and the cuda / cuda-tools (which contains nsight) packages from the official Manjaro repositories. Protocol buffer definitions are in the NVIDIA Nsight Compute installation directory under extras/FileFormat. INTRODUCTION NVIDIA Nsight Compute CLI (nv-nsight-cu-cli) provides a non-interactive way to profile applications from the command line. Description of PC sampling metrics and shipped section files. 8: 780: September 9, 2022 Metrics available via XENSERVER if you want to build your own monitoring product for vGpu . 2. I am trying to identify more precisely whether it’s due to reducing thread divergence, or memory transfer overhead. pct_of_peak_sustained_elapsed, for which you get the comprehensive breakdown on the UI’s Details page. Memory Throughput: Monitor the amount of data being transferred to and from the GPU. 1 - How to Understand and Optimize Shared Memory Accesses using Nsight Compute. This helps but there can still be a lot of race conditions on small kernels that may cause incorrect results. This can be observed in two different ways: In the GPU Speed of Light section determine if L1/TEX Cache [%] (l1tex__throughput. per_second). It provides detailed performance metrics and API debugging via a Hi jmarusarz, I have a new question. sm__warps_active. To come up with metrics that represent occupancy the way the nsight compute designers intended, my suggestion would be to look at their definitions. In that case why doesn’t dram__bytes. Some errors would reduce the amount or accuracy of gathered info, some will make system profiling Nsight Compute The User Guide for Nsight Compute. 2. It appears that most files are listed as present and up-to-date on the remote system, as Nsight Compute The User Guide for Nsight Compute. Updates in 2024. Nsight Compute 2024. “ncu --target-processes all . the command line. Nsight Compute: • Use SOL metrics to understand overall limiter (reading real-world reports is a lot more difficult; but the very same workflow applies) • Read rules’ output for guidance throughout the report (we’ll add more rules in future releases) In [1], I see that a tensor related metric for integer instructions. In particular, the L2 metrics you are looking for don’t support instance values. After identifying the bottlenecks, individual kernels could be profiled with Nsight Compute. --print-metric-instances option in Nsight Compute. 3. It uses following for branch occupancy: nvprof metrics --branch_efficiency But it complains that the nvprof is too old for CC 7. avg. In this case, the best way to get the nccl_allreduce kernel time is probably from Nsight Systems. The NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. There are some selected metrics that have instance values (like instruction-level SASS or NvLink metrics), which is why the corresponding options exist. If we Question about cache metrics. Greetings, I am trying to reconcile the output of some metrics given by Nsight Compute. For now you can collect one throughput metric using breakdown:<throughput metric>avg. Metric Selection . elapsed and parse the output to get the sub-metric names. how values change over the runtime of your CUDA kernel. 0: GPU Technology Conference 2022: Nsight Compute 2022. My understanding is if we divide the active warps per scheduler by the maximum warps per Nsight Compute Command Line Interface: Output contains one of the two following messages: Error: ERR_NVGPUCTRPERM: The user does not have permission to access NVIDIA GPU Performance Counters on the target device <deviceId>. On Volta and newer GPUs, most metrics are named using a base name and various suffixes, e. For example, one section might include only high-level SM and memory utilization metrics, while another could include metrics Nsight Compute will give you tensor core (or rather tensor pipeline) utilization metrics on a per-kernel or per-range level, but not with time-correlated granularity, i. Nsight Compute CLI NVIDIA Nsight Compute Command Line Interface (CLI) user manual. Added a new sass__inst_executed_register_spilling metric. Section Definition . It provides detailed performance metrics and API debugging via a user interface and command line tool. If I run a kernel with only one warp, the overall sampling data multiply 32 equals to the cycle of the kernel. 1: 431: June 8, 2020 This guide describes various profiling topics related to NVIDIA Nsight Compute and NVIDIA Nsight Compute CLI. pct_of_peak_sustained_elapsed. sum, etc. CUDA Programming The output of this section would look similar to this screenshot in the UI. The code I tested on A100 is the following import torch n=4096 x = torch. What happens if you don’t use the metrics flag but use the default metric set instead, i. 2: 723: October 9, 2024 Different betweent in lts__t_sectors_srcunit_tex_op_read. Nsight Compute is the next generation interactive kernel profiler for CUDA applications, available with the Cuda 10. Optimizing memory access Next, in the source view, Nsight Compute shows line-by-line counts for various metrics: Question 2: Why does "Memory L1 Transactions Shared" show 0 for lines 8 and 10? I was expecting to see: Line 8: an equal number of [load transactions from global memory] and [store transactions to shared memory] If you are using a GV100 or Turing on Nsight Compute then Nsight Compute will a newer version of Perfworks. 1 | 1 Chapter 1. 2944419175 September 22, 2022, 7 NVIDIA® Nsight™ Compute is an interactive profiler for CUDA® and NVIDIA OptiX™ that provides detailed performance metrics and API debugging via a user interface and command-line tool. 3: 641: March 10, 2023 Ampere GPU L2 cache write miss policy. According to the descriptions, they are mostly device properties. 5: 507: June 24, 2024 That computation is given as an example on how to combine individual Nsight Compute metrics to map to nvprof metrics, since sometimes they don’t match 1:1. Nsight Compute provides a customizable and data-driven user interface and NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. Information on all views, controls and workflows within the tool. This metric is only available for device with compute capability 7. It NVIDIA® Nsight™ Compute 2019. Try asking for gpu__time_active. sum --target-processes-filter regex:text-generation-server text-generation NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. This is because most metrics In Nsight Compute you first want to determine if the bank conflicts are a performance limiter. In addition, its baseline feature allows users to compare results within the tool. The following sections provide brief step-by-step guides of how to setup and run NVIDIA Nsight Compute to collect profile information. pct_of_peak_sustained_active) is one of the highest values. Use NVIDIA Nsight Compute for GPU profiling and NVIDIA Nsight Systems for GPU tracing and CPU sampling. by the way, how can i get the descriptions of other metrics? and, can i get *_efficiency by the combination of I have recently worked on the profiling of an application and puzzled by the achieved occupancy # reported at nsight compute. But this is not true when I increase the wrap number. As for the shared load transactions, you are comparing mismatching metrics, since smsp__inst_executed_op_shared_ld will give you the number of instructions executed Most metrics used in NVIDIA Nsight Compute are identical to those of the PerfWorks Metrics API and follow the documented Metrics Structure. This is because most As of Nsight Compute 2020. 5, nvprof doesn’t work and on the other NVIDIA® Nsight™ Compute 2024. Nsight Compute NVIDIA Nsight Compute (UI) user manual. Lot of examples mention about nvprof but with my system (rtx2070) with compute capability 7. Graphics Throughput Metrics for NVIDIA GA10x (frequency >= 10kHz) [8] [ga10x-gfxact] Graphics Async Compute Triage The slowdown can be due to a large number of kernels and collecting a large number of metrics. NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. A shortcut with this name is located in the base directory of the NVIDIA Nsight Compute NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. Instanced Metrics Instanced metrics are metrics which consist of a list of key-value pairs along with an associated aggregate value that Additional instructions for how to run nsight compute are available in this blog. It also provides a customizable, data-driven user interface Hello! I have a dumb question :), but I’m a little confused. 3 with new features for measuring and modeling occupancy, source and assembly code correlation, and a hierarchical roofline model to identify bottlenecks caused by accessing As of Nsight Compute 2020. cuda, ubuntu. 1. See Metric Comparison for a comparison of nvprof and NVIDIA Nsight Compute metric names. List of known issues for the current release. Improved documentation for metric units and terms. This out of range metric value could be due to multiple passes. When i use “ncu --list-sec” to see the metric set in my nsight compute 2020. Higher occupancy generally leads to better performance. Since you are looking for the stall reasons, which are collected using a different internal metric provider and not using software patching, you could request these independently from the rest to WAR the issue, e. Nsight Compute provides a customizable and data-driven user interface and Nsight Compute provides information on a per-kernel level. The Nvidia Visual Profiler app provides this information in the Properties dialog, for each kernel, as See Metric Comparison for a comparison of nvprof and NVIDIA Nsight Compute metric names. max. Bank NVIDIA Nsight Compute CLI uses Section Sets (short sets) to decide, on a very high level, the amount of metrics to be collected . Refer the overhead section in the Kernel Profiling Guide :: Nsight Compute Documentation You can try to collect data for fewer kernels by using the –launch-count option and collect a smaller set of metrics using the –metrics or –section options. For example, some communication bits, etc The metrics measure the same thing in Nsight Compute and Nsight Systems. I have a question about the measurement standard of Avg. 1: 415: August 31, 2022 SM frequency reported in Nsight Compute. For example, one section might include only high-level SM and memory utilization metrics, while another could include metrics This document is a user guide for the next-generation NVIDIA Nsight Compute profiling tools. I hope the following will be helpful. 0 Toolkit. Summary Nsight Compute can help determine the performance limiter of a CUDA kernel. To see the list of available PerfWorks metrics for any I want to use range replay of ncu to profile a range of kernels via self-defined section file. 5 %äðíø 9 0 obj > stream adobe:docid:photoshop:f4e21218-2866-11e8-b3de-96d884a9fb6f endstream endobj 10 0 obj > stream xÚ­—wTSÙ ‡Ï½é @:¡7é-€ô zo6B ” A lÈà Œ P QpTŠŒ Å6((`A'È ¢ŽbÁ†Ê»È |ë­÷Ç[ëíµö=ßÝÙçwö¹¹g­} ‹˜|~*, @ /K êíF‹Ž‰¥áÆ `€ ¦€Âdeò]ƒƒý bóã ð~hö À-ãY-ð¿™4›“ÉBd‚ Žgg²Ò >‰ø% _ * ‰k NVIDIA® Nsight™ Compute is an interactive kernel profiler for CUDA applications. General. We’re investigating that bug. How could I have the SM occupancy? I see there is a metric, Achieved Occupancy, which is it the ratio of the average active warps to the maximum active warps allocated for the kernel. by using a new section file in user user’s documents dir at /home/user/Documents/NVIDIA Nsight Compute/<version>/Sections with %PDF-1. Users can run guided analysis and compare I try to use Nsight compute command line to fetch all metric at runtime, when use --metrics “regex:. You can find the description for each metric using the ncu --query-metrics flag on the command line. A shortcut with this name is located in the base directory of the NVIDIA Nsight Compute The output of this section would look similar to this screenshot in the UI. Each set includes one or more Sections, with each section specifying several logically associated NVIDIA Nsight Compute uses Section Sets (short sets) to decide, on a very high level, the amount of metrics to be collected. divergnet branches It is indicated as “incremented only when there are two or more active threads with different branch taget (This counter metric represents the avg across all sub-unit instances” I know thread divergence is a phenomenon This guide describes various profiling topics related to NVIDIA Nsight Compute and NVIDIA Nsight Compute CLI. These fall into the high-level categories: Metrics collected in NVIDIA Nsight Compute are of two types: Instanced Metrics & Single Value Metrics. Metrics like this normally have a qualifier defining the type of arithmetic used in the measurement. At least with that metric. The next version of Nsight Compute will have a control to disable this cache flushing, at the cost of reduced result reproducibility. I will continue and let you know if there is any issue. For example: Most metrics used in NVIDIA Nsight Compute are identical to those of the PerfWorks Metrics API and follow the documented Metrics Structure. The user manual for the NVIDIA Nsight Compute Command Line Interface. In addition, its baseline feature Key Metrics to Monitor. gpu__compute_memory_access_throughput includes metrics from both SM, L1TEX, and LTS). 5 is now available for download in the NVIDIA Registered Developer Program. It provides detailed performance metrics and API debugging via a user interface and command-line tool. iyg swdbtv eswym tjyrg chy neen yoxzc bryy aek xno