Intel vtune profiler

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Intel VTune Profiler is a new renamed version of the Intel VTune Amplifier. Documentation Formats for Intel VTune Profiler: Access documentation for VTune Profiler

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Profiling with Intel VTune Profiler

Expands cryptography offerings with CCM/GCM modes, which enables Crypto Multi-Buffer for greater performance compared to scalar implementations, and adds support for asymmetric cryptographic algorithm SM2 for key exchange protocol and encryption/decryption APIs.Analysis & DebugIntel® VTune™ Profiler displays Xe Link cross-card traffic issues such as CPU/GPU imbalances, stack-to-stack traffic, and throughput and bandwidth bottlenecks on Intel® Data Center GPU Max Series.Intel® Distribution for GDB adds debug support for Intel® Arc™ GPUs on Windows and improves the debug performance on Linux for Intel discrete GPUs.Rendering & Visual ComputingIntel® Open Path Guiding Library (Intel® Open PGL) is integrated in Blender and Chaos V-Ray and provides state-of-the-art path-guiding methods for rendering.Intel® Embree supports Intel Arc GPUs and Intel® Data Center GPU Flex Series, and delivers performance increases on 4th Gen Intel® Xeon® processors per Phoronix benchmarks.Intel® OSPRay Studio add functionality from open Tiny EXR, Tiny DNG (for .tiff files), and Open Image IO.oneAPI tools drive ecosystem innovationoneAPI tools adoption is ramping multiarchitecture programming on new accelerators, and the ecosystem is rapidly pioneering unique solutions using the open, standards-based, unified programming model. Here are the most recent:Cross-platform: Purdue University launched a oneAPI Center of Excellence to advance AI and HPC teaching in the United States.Cloud: University of Tennessee launched oneAPI Center-of-Excellence Research which enabled a cloud-based Rendering as a Service (RaaS) learning environment for students.AI: Hugging Face accelerated PyTorch Transformers on 4th Gen Intel Xeon processors (explore part 1 and part 2), and HippoScreen increased AI performance by 2.4x to improve efficiency and build deep learning models.Graphics & Ray Tracing: Thousands of artists, content creators, and 3D experts can easily access advanced ray tracing, denoising, and path guiding capabilities through Intel rendering libraries integrated in popular renderers including Blender, Chaos V-Ray, and DreamWorks open source MoonRay.Learn MoreExplore Intel oneAPI & AI tools >New to SYCL?

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Intel VTune Profiler for CPU and GPU profiling

Start March.2009, we introduced a series of Intel Parallel Studio webinars. During the live broadcast webcasts, we received numerous questions about this new product. The followings contain Top 5 most asked questions and a detailed list of Q&A from each webinar. We thought these may be useful to you through the product evaluations.. If you are interested in taking recorded webinars, please register it here.Top 5 most asked questions:Q1. What is the difference between Intel Parallel Composer and the usual Intel C++ Compiler Professional?A. Please see A more detailed article will come soon.Q2: What about using Intel C++ to cross-compiling between Mac OSX*/Linux*? A: Intel C++ Compiler Professional Edition products are also available for Linux and Mac OS X. Cross-compiling between these two operating systems is not a supported user-model. You will not be able to cross-compile between OSs. Please see for additional information. Q3: Sure your product target is Intel Platform how about other brand CPUs. When we use your product it will also work in other CPUs without problem and same performance?A: Intel Parallel Studio runs on platforms with an IA-32 or Intel 64 architecture processor supporting the Intel Streaming SIMD Extensions 2 (Intel SSE2) instructions (Intel Pentium 4 processor or later, or compatible non-Intel processor).Q4. Do I need to use Intel VTune Performance analyzer or Intel Thread Checker etc. any more since I found that Intel Parallel Studio can do what VTune analyzer always do?A. VTune analyzer provides additional functionality. For example, VTune Event Based Sampling (the ability to track processor level events) is one such area. The Intel Parallel Amplifier, an Intel Parallel Studio tool, provides information on the performance of your code. Use the Parallel Amplifier to analyze the following types of performance issues in your threaded applications:- Identify the most time-consuming (hot) functions- Locate sections of code that do not effectively utilize available processor time- Determine the best sections of code to optimize for sequential performance and for threaded performance - Locate synchronization objects that affect the program performance- Find whether, where, and why your program spends time on input/output operations - Identify and compare the performance impact of different synchronization methods, different numbers of threads, or different algorithmsQ5. What is the difference between Intel VTune analyzer/Intel Thread Checker and Intel Parallel Studio? Or can they be used in a good combination somehow?A. Yes. Moreover, Parallel Studio is built on the latest technology (PIN) for faster analysis. Also, Parallel Inspector includes memory checking in addition to "Thread Checking". Parallel Amplifier has Statistical Call Graph for profiling your applications with low overhead to detect where time is spent in your application. See Intel Parallel Amplifier vs. Intel VTune Performance Analyzer Comparison.Detailed Q&A lists from each webinar:1. Go-Parallelism! Ease the Onramp for C/C++ Windows* Development - March 10 Solve Parallelism with Intel Parallel Studio - March 17 Simplify Parallelism with Intel Parallel Composer - March 24 Parallel Implementation Methods with Intel Parallel Composer - March 31 Debugging Parallel Code for Fast, Reliable Applications - April 7

Performance Profiling Intel VTune Profiler Optimize

I installed Inspector XE and VTune XE over VS 2008 to check them out. For Inspector XE and VTune XE : User interface is not very user friendly lots of fudging around to set up the file to process when in standalone mode. Lots of repeats to tell it where to find things. Does not remember previous choices need to restart at root of system. Not possible to define subset as to what is to be inspected on large projects previous versions had a configuration utility which enabled a subset of the entire application to be selected. The only response to this issue is in Inspector (but not in VTune) Modules to exclude but there is no list such as in the previous version they must be expressly typed in.Results on using Inspector XE With a simple Open MP for loop missing a reduction and private attributes it does not find the data races. If I remove the data race condition, then it finds the simultaneous use of a non reentrant library function but it reports it as a data race problem. It reports a very cryptic stack cross access condition which remains unexplained. I found the need to redefine things on successive runs, such as the location of source files. Thread Checker no longer runs properly I get a call support type error.The app being Inspector XEed contained User Event API Functions - coud these pose a problem and are they supported in the new XE products?Conclusions Inspector seems. Intel VTune Profiler is a new renamed version of the Intel VTune Amplifier. Documentation Formats for Intel VTune Profiler: Access documentation for VTune Profiler

Profile an FFmpeg Application with Intel VTune Profiler

The call flow including parameters and timings. It then outputs a visual graph showing the exact path traversal and runtime.But dynamic call graphs can provide much more detailed metrics:Call Counts: Number of invocations of each functionRecursive Data: Identify excessive recursion trees Concurrency: Distinguish parallel threads Performance: Capture runtime, memory allocation Exceptions: See traces leading to errorsFiltering: Narrow graph by package, class, etcpycallgraph offers extensive customization through its plugin architecture:from pycallgraph.output import GraphvizOutputfrom pycallgraph import Configfrom pycallgraph import GlobbingFilterconfig = Config(max_depth=5)config.trace_filter = GlobbingFilter(include=[‘mypackage.*‘])config.output = GraphvizOutput(output_file=‘filtered_graph.png‘) with PyCallGraph(config=config): main()The filtered dynamic graph provides focused profiling on areas of interest without overwhelming detail.For larger applications, sampling may be required to limit performance overhead. Advanced tools like pyff have specialized streaming modes and statistical call counts for low overhead.In summary, dynamic call graphs generated at runtime provide invaluable real-world optimization insights that static analysis alone cannot match.Call Graph ToolsBeyond the basic techniques shown above, developers can choose from many more advanced call graph utilities:Java Tools VisualVM – Open source GUI with customizable metricsJava Flight Recorder – Robust bundled with JDK profiler YourKit – Leading 3rd party Java profilerPython ToolsSnakeViz – Browser based Python visualizer Pyan – Static analysis specializing in call graphsprofiling – Built-in Python profiling module C/C++ Tools Callgrind – Precise dynamic call graphs via Valgrind gprof – GNU profiler analyzes call times Intel VTune – Powerful hotspot and concurrency analysisThese tools provide additional capabilities when basic graphs are not sufficient:Filter graphs by package, class, timeframe Analyze performance metrics like memory, runtimeProfile multi-threaded and remote applications Export graphs to various image, XML, and custom formats Learning to leverage call graphs takes programming skill to the next level. All top developers use them to analyze and enhance code. Understanding available options helps choose the right techniques.Call Graph ConventionsOver decades of evolution, best practices have

Use Intel Inspector and Intel VTune Profiler

To materialsscoped under a Looks prim.USD_KATANA_API_SCHEMAS_AS_GROUP_ATTRIf 1, API schemas will be imported as group attributes instead of an arrayof strings. This provides easier support for CEL matching based on API schemasand an easier way to access the instance name of Multiple Apply Schemas.KATANA_USD_GLOBALS_TRAVERSE_MODEL_HIERARCHYIf set to 0 the UsdIn.UpdateGlobalLists Op will traverse the entireUSD stage, rather than just the prims part of the model hierarchy. Thisaffects lightList and globals.cameraList attribute creation on/root/world. In both cases, the UsdLuxLightListAPI can be used tostore lightLists and control the cache behaviour for light lists.USD_KATANA_LOOK_TOKENSThis environment variable defines which prim names will allow for any childMaterial prims which have sibling materials to become child materials where aSpecializes composition arc exists between them. The defaults are Looks,looks and materials, separated by the OS path separator.Debugging¶RUNTIME_OPTREE_GRAPH_DUMPPath to a file used to dump the optree graph while rendering. This is usefulfor debug or inspection, especially when writing Ops.KATANA_EVENT_DEBUGWhen defined, causes all events in the EventModule to be printed out.KATANA_RENDER_DEBUGWhen defined with anything apart from 0 or '' causes 2D rendering tooutput additional log messages.KATANA_RENDER_INTERCEPTThe file system location path of an executable script or binary to be calledinstead of renderboot when starting a render. Receives the arguments thatrenderboot normally receives.Debugging using a DebuggerKATANA_RENDER_INTERCEPT is ideal for debugging the renderbootprocess. Consider the following Linux shell script:#!/bin/bashexec xterm -e gdb --args "$KATANA_ROOT/bin/renderboot" "$@"If KATANA_RENDER_INTERCEPT is set to the file system location path of thedebugging-interceptor.sh script, renders started from Katana will be runthrough gdb. Note that the script invokes renderboot in the$KATANA_ROOT/bin/ directory, passing along all of the arguments itreceives, but the render process is run as an inferior process from withingdb, rather than directly.The xterm terminal emulator for X is used here in order to be able tointeract with gdb. Other terminal emulators with a similar -ecommand-line option can be used instead.Debugging using a ProfilerAnother usage of KATANA_RENDER_INTERCEPT is profiling. For instance, torun a renderboot session through the Intel® VTune™ Profiler, thefollowing script could be used:#!/bin/bashexec vtune -collect hotspots -knob sampling-mode=hw -knob sampling-interval=1 "$KATANA_ROOT/bin/renderboot" "$@"Debugging using Environment VariablesThe program specified by KATANA_RENDER_INTERCEPT can be used to alter theenvironment in which renderboot is started. For example, PATH orLD_LIBRARY_PATH could be extended, or LD_PRELOAD or LD_DEBUGcould be set.ImportantThe script or binary specified by KATANA_RENDER_INTERCEPTmust have executable permissions, and its file system location must beaccessible from the environment in which Katana is run.KATANA_INTERPROCESS_GC_TIMEOUT_SECONDSA ZeroMQ keep alive message is sent periodically from the render side of

Intel SoC Watch and Intel VTune Profiler

Distributor provides technical support forthis product, please contact them for support rather than Intel.Disclaimer and Legal InformationINFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL(R) PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATIONWHERE PERSONAL INJURY OR DEATH MAY OCCUR.Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined." Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a designwith this information.The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request.Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order.Copies of documents which have an order number and are referenced in this document, or other Intel literature, may be obtained by calling 1-800-548-4725, or by visiting Intel's Web Site. Celeron, Centrino, Intel, Intel logo, Intel386, Intel486, Intel Core, Itanium, MMX, Pentium, VTune, and Xeon are trademarks of Intel Corporation in the U.S. and other countries.* Other names and brands may be claimed as the property of others. Copyright (C) 2007, Intel Corporation. All Rights Reserved.. Intel VTune Profiler is a new renamed version of the Intel VTune Amplifier. Documentation Formats for Intel VTune Profiler: Access documentation for VTune Profiler

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User7942

Expands cryptography offerings with CCM/GCM modes, which enables Crypto Multi-Buffer for greater performance compared to scalar implementations, and adds support for asymmetric cryptographic algorithm SM2 for key exchange protocol and encryption/decryption APIs.Analysis & DebugIntel® VTune™ Profiler displays Xe Link cross-card traffic issues such as CPU/GPU imbalances, stack-to-stack traffic, and throughput and bandwidth bottlenecks on Intel® Data Center GPU Max Series.Intel® Distribution for GDB adds debug support for Intel® Arc™ GPUs on Windows and improves the debug performance on Linux for Intel discrete GPUs.Rendering & Visual ComputingIntel® Open Path Guiding Library (Intel® Open PGL) is integrated in Blender and Chaos V-Ray and provides state-of-the-art path-guiding methods for rendering.Intel® Embree supports Intel Arc GPUs and Intel® Data Center GPU Flex Series, and delivers performance increases on 4th Gen Intel® Xeon® processors per Phoronix benchmarks.Intel® OSPRay Studio add functionality from open Tiny EXR, Tiny DNG (for .tiff files), and Open Image IO.oneAPI tools drive ecosystem innovationoneAPI tools adoption is ramping multiarchitecture programming on new accelerators, and the ecosystem is rapidly pioneering unique solutions using the open, standards-based, unified programming model. Here are the most recent:Cross-platform: Purdue University launched a oneAPI Center of Excellence to advance AI and HPC teaching in the United States.Cloud: University of Tennessee launched oneAPI Center-of-Excellence Research which enabled a cloud-based Rendering as a Service (RaaS) learning environment for students.AI: Hugging Face accelerated PyTorch Transformers on 4th Gen Intel Xeon processors (explore part 1 and part 2), and HippoScreen increased AI performance by 2.4x to improve efficiency and build deep learning models.Graphics & Ray Tracing: Thousands of artists, content creators, and 3D experts can easily access advanced ray tracing, denoising, and path guiding capabilities through Intel rendering libraries integrated in popular renderers including Blender, Chaos V-Ray, and DreamWorks open source MoonRay.Learn MoreExplore Intel oneAPI & AI tools >New to SYCL?

2025-03-28
User6733

Start March.2009, we introduced a series of Intel Parallel Studio webinars. During the live broadcast webcasts, we received numerous questions about this new product. The followings contain Top 5 most asked questions and a detailed list of Q&A from each webinar. We thought these may be useful to you through the product evaluations.. If you are interested in taking recorded webinars, please register it here.Top 5 most asked questions:Q1. What is the difference between Intel Parallel Composer and the usual Intel C++ Compiler Professional?A. Please see A more detailed article will come soon.Q2: What about using Intel C++ to cross-compiling between Mac OSX*/Linux*? A: Intel C++ Compiler Professional Edition products are also available for Linux and Mac OS X. Cross-compiling between these two operating systems is not a supported user-model. You will not be able to cross-compile between OSs. Please see for additional information. Q3: Sure your product target is Intel Platform how about other brand CPUs. When we use your product it will also work in other CPUs without problem and same performance?A: Intel Parallel Studio runs on platforms with an IA-32 or Intel 64 architecture processor supporting the Intel Streaming SIMD Extensions 2 (Intel SSE2) instructions (Intel Pentium 4 processor or later, or compatible non-Intel processor).Q4. Do I need to use Intel VTune Performance analyzer or Intel Thread Checker etc. any more since I found that Intel Parallel Studio can do what VTune analyzer always do?A. VTune analyzer provides additional functionality. For example, VTune Event Based Sampling (the ability to track processor level events) is one such area. The Intel Parallel Amplifier, an Intel Parallel Studio tool, provides information on the performance of your code. Use the Parallel Amplifier to analyze the following types of performance issues in your threaded applications:- Identify the most time-consuming (hot) functions- Locate sections of code that do not effectively utilize available processor time- Determine the best sections of code to optimize for sequential performance and for threaded performance - Locate synchronization objects that affect the program performance- Find whether, where, and why your program spends time on input/output operations - Identify and compare the performance impact of different synchronization methods, different numbers of threads, or different algorithmsQ5. What is the difference between Intel VTune analyzer/Intel Thread Checker and Intel Parallel Studio? Or can they be used in a good combination somehow?A. Yes. Moreover, Parallel Studio is built on the latest technology (PIN) for faster analysis. Also, Parallel Inspector includes memory checking in addition to "Thread Checking". Parallel Amplifier has Statistical Call Graph for profiling your applications with low overhead to detect where time is spent in your application. See Intel Parallel Amplifier vs. Intel VTune Performance Analyzer Comparison.Detailed Q&A lists from each webinar:1. Go-Parallelism! Ease the Onramp for C/C++ Windows* Development - March 10 Solve Parallelism with Intel Parallel Studio - March 17 Simplify Parallelism with Intel Parallel Composer - March 24 Parallel Implementation Methods with Intel Parallel Composer - March 31 Debugging Parallel Code for Fast, Reliable Applications - April 7

2025-04-15
User5502

The call flow including parameters and timings. It then outputs a visual graph showing the exact path traversal and runtime.But dynamic call graphs can provide much more detailed metrics:Call Counts: Number of invocations of each functionRecursive Data: Identify excessive recursion trees Concurrency: Distinguish parallel threads Performance: Capture runtime, memory allocation Exceptions: See traces leading to errorsFiltering: Narrow graph by package, class, etcpycallgraph offers extensive customization through its plugin architecture:from pycallgraph.output import GraphvizOutputfrom pycallgraph import Configfrom pycallgraph import GlobbingFilterconfig = Config(max_depth=5)config.trace_filter = GlobbingFilter(include=[‘mypackage.*‘])config.output = GraphvizOutput(output_file=‘filtered_graph.png‘) with PyCallGraph(config=config): main()The filtered dynamic graph provides focused profiling on areas of interest without overwhelming detail.For larger applications, sampling may be required to limit performance overhead. Advanced tools like pyff have specialized streaming modes and statistical call counts for low overhead.In summary, dynamic call graphs generated at runtime provide invaluable real-world optimization insights that static analysis alone cannot match.Call Graph ToolsBeyond the basic techniques shown above, developers can choose from many more advanced call graph utilities:Java Tools VisualVM – Open source GUI with customizable metricsJava Flight Recorder – Robust bundled with JDK profiler YourKit – Leading 3rd party Java profilerPython ToolsSnakeViz – Browser based Python visualizer Pyan – Static analysis specializing in call graphsprofiling – Built-in Python profiling module C/C++ Tools Callgrind – Precise dynamic call graphs via Valgrind gprof – GNU profiler analyzes call times Intel VTune – Powerful hotspot and concurrency analysisThese tools provide additional capabilities when basic graphs are not sufficient:Filter graphs by package, class, timeframe Analyze performance metrics like memory, runtimeProfile multi-threaded and remote applications Export graphs to various image, XML, and custom formats Learning to leverage call graphs takes programming skill to the next level. All top developers use them to analyze and enhance code. Understanding available options helps choose the right techniques.Call Graph ConventionsOver decades of evolution, best practices have

2025-04-09
User6530

To materialsscoped under a Looks prim.USD_KATANA_API_SCHEMAS_AS_GROUP_ATTRIf 1, API schemas will be imported as group attributes instead of an arrayof strings. This provides easier support for CEL matching based on API schemasand an easier way to access the instance name of Multiple Apply Schemas.KATANA_USD_GLOBALS_TRAVERSE_MODEL_HIERARCHYIf set to 0 the UsdIn.UpdateGlobalLists Op will traverse the entireUSD stage, rather than just the prims part of the model hierarchy. Thisaffects lightList and globals.cameraList attribute creation on/root/world. In both cases, the UsdLuxLightListAPI can be used tostore lightLists and control the cache behaviour for light lists.USD_KATANA_LOOK_TOKENSThis environment variable defines which prim names will allow for any childMaterial prims which have sibling materials to become child materials where aSpecializes composition arc exists between them. The defaults are Looks,looks and materials, separated by the OS path separator.Debugging¶RUNTIME_OPTREE_GRAPH_DUMPPath to a file used to dump the optree graph while rendering. This is usefulfor debug or inspection, especially when writing Ops.KATANA_EVENT_DEBUGWhen defined, causes all events in the EventModule to be printed out.KATANA_RENDER_DEBUGWhen defined with anything apart from 0 or '' causes 2D rendering tooutput additional log messages.KATANA_RENDER_INTERCEPTThe file system location path of an executable script or binary to be calledinstead of renderboot when starting a render. Receives the arguments thatrenderboot normally receives.Debugging using a DebuggerKATANA_RENDER_INTERCEPT is ideal for debugging the renderbootprocess. Consider the following Linux shell script:#!/bin/bashexec xterm -e gdb --args "$KATANA_ROOT/bin/renderboot" "$@"If KATANA_RENDER_INTERCEPT is set to the file system location path of thedebugging-interceptor.sh script, renders started from Katana will be runthrough gdb. Note that the script invokes renderboot in the$KATANA_ROOT/bin/ directory, passing along all of the arguments itreceives, but the render process is run as an inferior process from withingdb, rather than directly.The xterm terminal emulator for X is used here in order to be able tointeract with gdb. Other terminal emulators with a similar -ecommand-line option can be used instead.Debugging using a ProfilerAnother usage of KATANA_RENDER_INTERCEPT is profiling. For instance, torun a renderboot session through the Intel® VTune™ Profiler, thefollowing script could be used:#!/bin/bashexec vtune -collect hotspots -knob sampling-mode=hw -knob sampling-interval=1 "$KATANA_ROOT/bin/renderboot" "$@"Debugging using Environment VariablesThe program specified by KATANA_RENDER_INTERCEPT can be used to alter theenvironment in which renderboot is started. For example, PATH orLD_LIBRARY_PATH could be extended, or LD_PRELOAD or LD_DEBUGcould be set.ImportantThe script or binary specified by KATANA_RENDER_INTERCEPTmust have executable permissions, and its file system location must beaccessible from the environment in which Katana is run.KATANA_INTERPROCESS_GC_TIMEOUT_SECONDSA ZeroMQ keep alive message is sent periodically from the render side of

2025-03-29
User7871

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2025-04-01
User2727

443 Accesses Definition The IntelⓇ Thread Profiler is a tool to assist in optimizing multithreaded applications. It shows developers where various performance bottlenecks and impediments to scalability occur in the program. Discussion Introduction IntelⓇ Thread Profiler collects data relevant for multithreaded performance and helps the user understand the cause of various performance problems. IntelⓇ Thread Profiler can collect data on programs written using OpenMP∗ or using native threading APIs (Windows∗ API or POSIX∗ threads). “∗Other names and brands may be claimed as the property of others”. Threading Methodology Threading for performance is a process with several steps. This process starts with discovering possible parallelism in an existing codebase or algorithm and expressing that parallelism through some threading library or framework (e.g., OpenMP, IntelⓇThreading Building Blocks, native threading APIs). Next, the threaded code must be debugged and analyzed for correctness with testing... BibliographyGabb H, Kakulavarapu P (eds) (2005) Developing multithreaded applications: a platform consistent approach, v 2.0. Intel Corporation, Santa Clara, CA Google Scholar Wang L, Xu X (2007) Parallel software development with Intel Threading Analysis tools. Intel Technical Journal 11(4):287–297 Google Scholar IntelⓇ Thread Profiler Help, v 3.1 (2007) Intel Corporation, Santa Clara, CA Google Scholar Download referencesAuthor informationAuthors and AffiliationsIntel Corporation, 1906 Fox Dr., 61820, Champaign, IL, USAMark DewingIntel Corporation, 1906 Fox Dr., 61820, Champaign, IL, USADouglas ArmstrongAuthorsMark DewingYou can also search for this author in PubMed Google ScholarDouglas ArmstrongYou can also search for this author in PubMed Google ScholarEditor informationEditors and AffiliationsUniversity of Illinois at Urbana-Champaign, Urbana, IL, USADavid Padua Rights and permissionsCopyright information© 2011 Springer Science+Business Media, LLCAbout this entryCite this entryDewing, M., Armstrong, D. (2011). Intel® Thread Profiler. In: Padua, D. (eds) Encyclopedia of Parallel Computing. Springer, Boston, MA. citation.RIS.ENW.BIBDOI: Publisher Name: Springer, Boston, MA Print ISBN: 978-0-387-09765-7 Online ISBN: 978-0-387-09766-4eBook Packages: Computer ScienceReference Module Computer Science and EngineeringPublish with us

2025-04-25

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