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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

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--> Support Community About Developer Software Forums Developer Software Forums Software Development Tools Toolkits & SDKs Software Development Topics Software Development Technologies oneAPI Registration, Download, Licensing and Installation GPU Compute Software Intel® Tiber Developer Cloud Software Archive Edge Software Catalog Product Support Forums Product Support Forums FPGA Memory & Storage Visual Computing Embedded Products Graphics Processors Wireless Ethernet Products Server Products Intel vPro® Platform Intel® Enpirion® Power Solutions Intel® Unison™ App Intel® QuickAssist Technology (Intel® QAT) Intel® Trusted Execution Technology (Intel® TXT) Thunderbolt™ Share Intel® Gaudi® AI Accelerator Gaming Forums Gaming Forums Intel® ARC™ Graphics Gaming on Intel® Processors with Intel® Graphics Developing Games on Intel Graphics Blogs Blogs @Intel Products and Solutions Tech Innovation Thought Leadership Intel Foundry Private Forums Private Forums Intel oneAPI Toolkits Private Forums Intel AI Software - Private Forums Intel® Connectivity Research Program (Private) Intel-Habana Gaudi Technology Forum HARP (Private Forum) Neural Object Cloning Beta Intel® oneAPI Threading Building Blocks Ask questions and share information about adding parallelism to your applications when using this threading library. Intel Community Developer Software Forums Software Development Tools Intel® oneAPI Threading Building Blocks current_thread_index()? More actions Subscribe to RSS Feed Mark Topic as New Mark Topic as Read Float this Topic for Current User Bookmark Subscribe Mute Printer Friendly Page Hi,I coming from Cilk that had a function to obtain the worker id (something like thread id). I minimized the use of that but for some stuff it was handy. So I am looking for something similarly in TBB.What I found is what I am left with a message is that you should NOT usecurrent_thread_index()since the current_thread_index() may refer to to another arena that I am thinking about and there so many ifs and buts. In general it seems very hard for me to reason about this feature.So it is correct current_thread_index is an obscure feature that it is better not to use.Erling 1 Solution TBB abstracts out threads/OS/hardware so the developers work with TBB tasks instead. So, the current_thread_index() is not supposed to be often used in a sense that thread IDs normally not needed if we use TBB main model of working with tasks. However, for some workloads, for example, typical HPC workload which is regular (i.e., for loops) instead of irregular workloads TBB was designed for, TBB team published examples that assign thread affinities and use current_thread_index() together with other APIs for that. I suggest to download a free copy of proTBB book from From page 360 there:"Figure 13-1 shows a simple example of how to use a task_scheduler_observer object to pin threads to cores on Linux. In this example, we use the sched_setaffinity function to set the CPU mask for each thread as it joins

Spell Checker for use in Browser 12-18-2009, 04:42 AM Super Member Thread Starter Join Date: Nov 2009 Location: Missouri Posts: 2,485 You can download ieSpell Check from this site. is so easy to use. Type you message, and then right click on your typing and chose check spelling in the drop-down window, or a couple more options.I guess I needed to use my spell checker, I see Browser came out wrong?ok, got that fixed. 12-18-2009, 06:19 AM Super Member Join Date: Mar 2007 Location: Central FL Posts: 4,829 Google Chrome has one built in. It won't suggest words, but flags them in red so you can take a second look. For some reason, it doesn't work in the chat room, which is why my typos are more evident there. 12-18-2009, 07:07 AM Super Member Join Date: Dec 2008 Location: St. Louis, Missouri Posts: 6,884 Thanks for sharing. I need this for this board. My fingers don't work at the same speed as my brain! 12-20-2009, 07:59 PM Power Poster Join Date: Jul 2007 Location: Out searching for some sunshine :-) Posts: 58,856 Thank you :D:D:DI have the regular Google toolbar and that one works on the board too, I have never tried it in the chat room though. Related Topics Thread Thread Starter Forum Last Post KellyK Pictures 12 10-24-2011 12:17 PM CircleSquare General Chit-Chat (non-quilting talk) 89 09-22-2011 07:55 PM bopeep Pictures 15 01-01-2010 03:53 PM sondray Links and Resources 0 10-16-2009 09:37 AM Tracy_Lit5 Pictures 17 10-10-2009 01:21 PM Posting Rules You may not post new threads You may not post replies You may not post attachments You may not edit your posts HTML code is Off

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