Speedtrace pro net tracing profiling tool

When profiling .NET applications, it's essential to understand the concepts of CPU time and wall time to make informed decisions about application performance optimization. These two metrics represent different aspects of the time taken by your .NET application during execution, and each can provide valuable insights depending on your specific use case. CPU time CPU time, also known as process time, refers to the amount of time the CPU spends actively executing instructions for a specific process or thread. This metric only considers the time during which a CPU is working on behalf of the process, excluding any time spent waiting for external resources, input/output operations, or other processes. Usage: CPU time is particularly useful for identifying computationally intensive parts of your .NET application. By focusing on the sections of your code that consume the most CPU time, you can pinpoint areas where optimization may lead to improved overall performance. Wall time Wall time, also known as real time or elapsed time, is the total time taken from the start to the completion of a process or operation, as measured by a regular clock. Wall time includes all time intervals, including waiting for resources, input/output operations, or other processes, as well as active execution time. Usage: Wall time is valuable for understanding the actual user-perceived execution time of your .NET application or specific parts of it. Profiling using wall time can help identify bottlenecks due to resource contention, slow I/O, or other non-computation-related delays that impact the overall responsiveness of your application. Differences between CPU time and wall time The main difference between CPU time and wall time lies in what they measure. CPU time focuses on the active computation time of the CPU, excluding any waiting periods. In contrast, wall time considers the entire duration of a process or operation, including both active execution and waiting times. As a result, CPU time can be shorter than wall time, especially in multi-threaded or multi-process applications where processes might be waiting for resources, I/O, or other processes to complete. When to use CPU time vs. wall time 1. Use CPU time when: Profiling computationally intensive parts of your .NET application. Identifying functions or methods that consume excessive CPU cycles. Diagnosing performance issues related to algorithmic complexity, inefficient data structures, or other code-level optimizations. 2. Use wall time when: Profiling the overall user-perceived execution time of your .NET application. Identifying bottlenecks due to resource contention, slow I/O operations, or other external factors. Understanding the impact of waiting times on your application's responsiveness. CPU and wall times in YourKit .NET Profiler YourKit .NET Profiler has reasonable default settings, as well as a flexible system for configuring wall time and CPU time for all profiling modes: 1. CPU sampling measure CPU time by default, but it can be configured to measure wall time. 2. CPU tracing measures wall time by default, and can be configured to measure CPU time instead. You can choose between CPU and wall time measurement in CPU sampling settings and

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Understand profiler performance collection methods Article01/12/2024 In this article -->This document outlines the data collection methods that tools within the Visual Studio Performance Profiler utilize.SamplingSampling collects statistical data about the work that is performed by an application during profiling and it’s a good starting place to find areas to speed up your application. At specified intervals, the Sampling method collects information about the functions that are executing in your application. Data collection is done by collecting information on the application at a regular interval or sampling frequency such as every millisecond. The collected data is analyzed to create a model of where the time was spent in the application. If you need accurate measurements of call times or are looking for performance issues in an application for the first time, then you may want to use sampling.Sampling has less accuracy in the number of calls, but is low cost to the profiler and has little effect on the execution of the application being profiled. Tools in the Performance Profiler that utilize the sampling method include the CPU Usage tool.After you finish data collection, the CPU Usage tool analyzes the captured data and displays the report.TracingTracing provides better information on how often a method was executed. If you need accurate measures of call numbers, use tracing.Tracing can have a larger impact on the performance of your code during collection, but sampling has only a small overhead. Additionally, tracing can be slower to analyze because it takes longer to view the data after collection.InstrumentationInstrumentation profiling collects detailed information about the work that is performed by an application during a profiling run. Data collection is done by tools that either inject code into a binary file that captures timing information or by using callback hooks to collect and emit exact timing and call count information while an application runs. The instrumentation method has a high overhead when compared to sampling-based approaches. Tools in the Performance Profiler that use instrumentation include the Instrumentation tools and the .NET Object Allocation tool.Sampling versus instrumentationThe value of sampling is that it has less overhead and for this reason is more likely to be statistically representative of the application running in production. The value of instrumentation profiling is that you can get

Diagnostic port when set to 1. Defaults to 0. See the Diagnostic Port documentation for more information.DOTNET_EnableDiagnosticsWhen set to 0, disables debugging, profiling, and other diagnostics via the Diagnostic Port and can't be overridden by other diagnostics settings. Defaults to 1.DOTNET_EnableDiagnostics_IPCStarting with .NET 8, when set to 0, disables the Diagnostic Port and can't be overridden by other diagnostics settings. Defaults to 1.DOTNET_EnableDiagnostics_DebuggerStarting with .NET 8, when set to 0, disables debugging and can't be overridden by other diagnostics settings. Defaults to 1.DOTNET_EnableDiagnostics_ProfilerStarting with .NET 8, when set to 0, disables profiling and can't be overridden by other diagnostics settings. Defaults to 1.EventPipe variablesSee EventPipe environment variables for more information.DOTNET_EnableEventPipe: When set to 1, enables tracing via EventPipe.DOTNET_EventPipeOutputPath: The output path where the trace will be written.DOTNET_EventPipeOutputStreaming: When set to 1, enables streaming to the output file while the app is running. By default trace information is accumulated in a circular buffer and the contents are written at app shutdown..NET SDK and CLI environment variablesDOTNET_ROOT, DOTNET_ROOT(x86), DOTNET_ROOT_X86, DOTNET_ROOT_X64Specifies the location of the .NET runtimes, if they are not installed in the default location. The default location on Windows is C:\Program Files\dotnet. The default location on macOS is /usr/local/share/dotnet. The default location for the x64 runtimes on an arm64 OS is under an x64 subfolder (so C:\Program Files\dotnet\x64 on windows and /usr/local/share/dotnet/x64 on macOS. The default location on Linux varies depending on distro and installment method. The default location on Ubuntu 22.04 is /usr/share/dotnet (when installed from packages.microsoft.com) or /usr/lib/dotnet (when installed from Jammy feed). For more information, see the following resources:Troubleshoot app launch failuresGitHub issue dotnet/core#7699GitHub issue dotnet/runtime#79237This environment variable is used only when running apps via generated executables (apphosts). DOTNET_ROOT(x86) is used instead when running a 32-bit executable on a 64-bit OS. DOTNET_ROOT_X64 is used instead when running a

Features Complete C166 Compiler Solution Includes C, C++ and EC++ compilers with MISRA C code checking and CrossView Pro Debugging Environment. - First C166 compiler to include STLport C++ library. Embedded Development Environment provides push-button control of all development tasks. Symbolic register support to simplify start-up code setup. Integrated support for programming Flash memory. Automatic generation of start-up code. Advanced CAN library functions and sample code in C. Powerful assembler, linker and locator generates ROMable code for total flexibility. Real-time kernel support with User Stack Model Libraries. Free MiniTASK kernel included for time-sliced task swapping. CrossView Pro C166/ST10 Debugger High-speed simulator, OCDS and ROM monitor debugger for debugging in C++, C and Assembler. Flexible GUI with fully configurable windows for data, memory and source. Support for multiple breakpoint types. C and Assembly level trace and stack tracing. Instruction Set Simulator including extensive peripheral simulation and symbolic register support. Support for Infineon Device Access Server (DAS) OSEK kernel aware debugging ORTI 2.0 and 2.1 based. Symbolic register support in EDE and CrossView Pro Debugger. Advanced I/O simulation using files or windows. Comprehensive peripheral simulator in CrossView Pro Simulator. Code/data coverage and profiling in CrossView Pro Simulator Debugger. On-chip debugging support for Infineon evaluation boards. Plug-and-play ROM monitor debugger for evaluation boards. Support for ROM monitor debugging via CAN, Serial Port or TCP/IP (remote PC). Supported Devices Third Party Tool Support In-Circuit Emulator, JTAG Interface, & Debugger Solutions