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Intel C++ Compiler 19.0 for macOS* Release Notes for Intel Parallel Studio XE 2019

This document provides a summary of new and changed product features and includes notes about features and problems not described in the product documentation.

Please see the licenses included in the distribution as well as the Disclaimer and Legal Information section of these release notes for details. Please see the following links for information on this release of the Intel® C++ Compiler 19.0

Change History

This section highlights important from the previous product version and changes in product updates.

Changes since Intel® C++ Compiler 19.0.5 (New in Intel® C++ Compiler 19.0.8)

This is release for Intel® Compilers 2019 Update 8, compilers version 19.0.8. Highlights for this release:

• Intel(R) Parallel Studio XE 2019 Update 6 Composer Edition contains Compiler Update 8.
• Compilers Update 6 and 7 are not available to the general public.
• Compilers Update 6 and 7 were special releases not available to all customers.
• Corrections to reported problems
• Includes certain functional and security updates. We recommend updating for these functional and security updates.

Changes since Intel® C++ Compiler 19.0.4 (New in Intel® C++ Compiler 19.0.5)

• Note: macOS* 10.15 Catalina and Xcode* 11.0 are not supported in this release. Users will see issues with installation of the Intel Compilers for 2019 Update 5 and prior releases, no Xcode 11 integration, and other possible errors due to incompatibility. Users are advised to delay upgrading to macOS* 10.15 and Xcode 11 until we officially support this environment. Support for macOS* 10.15 and Xcode 11 will be provided in a future release.
• Support for Xcode 10.3
• Corrections to reported problems
• Includes certain functional and security updates. We recommend updating for these functional and security updates.

Changes since Intel® C++ Compiler 19.0.3 (New in Intel® C++ Compiler 19.0.4)

• Support for Xcode 10.2
• Corrections to reported problems

Changes since Intel® C++ Compiler 19.0.2 (New in Intel® C++ Compiler 19.0.3)

• Support for Xcode 10.1
• Corrections to reported problems

Changes since Intel® C++ Compiler 19.0.1 (New in Intel® C++ Compiler 19.0.2)

• Intel® C++ Compiler 19.0 Update 2 includes functional and security updates. Users should update to the latest version.

Changes since Intel® C++ Compiler 19.0 (New in Intel® C++ Compiler 19.0.1)

• macOS* 10.14 and Xcode* 10 support
• Corrections to reported problems

Changes since Intel® C++ Compiler 18.0 (New in Intel® C++ Compiler 19.0 )

• Changes to mitigate speculative executive side channel and new -mindirect-branch option. Please see detailed article at Using Intel® Compilers to Mitigate Speculative Execution Side-Channel Issues available at /content/www/us/en/develop/articles/using-intel-compilers-to-mitigate-speculative-execution-side-channel-issues.html)

System Requirements

• A 64-bit Intel®-based Apple* Mac* system host
• 2GB RAM minimum, 4GB RAM recommended
• 3GB free disk space
• One of the following combinations of mac OS*, Xcode* and the Xcode SDK:
  • macOS* 10.13, macOS* 10.14
  • Xcode* 9.4, Xcode* 10.2, 10.3
• If doing command line development, the Command Line Tools component of Xcode* is required

Note: Advanced optimization options or very large programs may require additional resources such as memory or disk space.

How to use the Intel® C++ Compiler

Parallel Studio XE 2019 : Getting Started with the Intel® C++ Compiler 19.0 for mac OS* at <install_dir>/documentation_2019/en/compiler_c/ps2019/get_started_mc.htm contains information on how to use the Intel® C++ Compiler from the command line and from Xcode*.

Documentation

Product documentation is linked from <install-dir>/documentation_2019/en/compiler_c/ps2019/get_started_mc.htm. Full documentation for all tool components is available at the Intel® Parallel Studio XE Support page.

Offline Core Documentation Removed from the Installed Image

Offline core documentation is removed from the Intel® Parallel Studio XE installed image. The core documentation for the components of Intel® Parallel Studio XE are available at the Intel® Software Documentation Library for viewing online. You can also download an offline version of the documentation from the Intel® Software Development Products Registration Center: Product List > Intel® Parallel Studio XE Documentation.

Intel-provided debug solutions

• Intel®-provided debug solutions are based GNU* GDB. Please see Intel® Parallel Studio XE 2019 Composer Edition C++ - Debug Solutions Release Notes further information.

Samples

Product samples are now available online at Intel® Software Product Samples and Tutorials

Redistributable Libraries

Refer to the Redistributable Libraries for Intel® Parallel Studio XE for more information.

Technical Support

If you did not register your compiler during installation, please do so at the Intel® Software Development Products Registration Center at http://registrationcenter.intel.com. Registration entitles you to free technical support, product updates and upgrades for the duration of the support term.

For information about how to find Technical Support, Product Updates, User Forums, FAQs, tips and tricks, and other support information, please visit: http://www.intel.com/software/products/support/
Note: If your distributor provides technical support for this product, please contact them for support rather than Intel.

New and Changed Features

This option is supported in versions 19.0 update 8 of the compiler and above. The details about this option can be found in the Intel® C++ Compiler 19.1 Developer Guide and Reference here.

To find more information, see https://www.intel.com/content/dam/support/us/en/documents/processors/mitigations-jump-conditional-code-erratum.pdf

The Intel® Software License Manager has been updated to version 2.9 for this release. You must upgrade to this version before installing Intel Parallel Studio XE 2019 Update 4 with a floating license. Please refer for more details:

Intel® Software License Manager Download
Intel® Software License Manager Release Notes

Please refer here for more details.

Currently '#pragma omp simd' overrides FP value and exception safe settings. The following options change that legacy behaviour and produce value and exception safe code even for SIMD loops.

• Qsimd-honor-fp-model[-]: Tells the compiler to obey the selected floating-point model when vectorizing SIMD loops
• Qsimd-serialize-fp-reduction[-]: Tells the compiler to serialize floating-point reduction when vectorizing SIMD loops.

OpenMP SIMD specification and FP model flag can contradict in the requirement. Compiler’s default is to follow OpenMP specification and vectorize the loop. With this new flag, programmer can override so that the compiler follows the FP model flag instead and serialize the loop
Note1: When –qsimd-honor-fp-model is used and OpenMP SIMD reduction specification is the only thing causing serialization of entire loop addition of qsimd-serialize-fp-reduction will result in vectorization of the entire loop except reduction calculation which will be serialized.
Note2: This option does not affect auto-vectorization of loops.

code names supported :cascadelake, kabylake, coffeelake, amberlake, whiskeylake.

• Explicit syntax for dynamic alignment
  #pragma vector dynamic_align[(pointer)] #pragma vector nodynamic_align

  With no pointer specified, compiler behaves normally (automatically decides which pointer has to be aligned or doesn’t generate peel loop at all). With pointer specified, compiler generates peel loop for that pointer. With nodynamic_align clause, the compiler will not generate a peel loop.

• #pragma vector vectorlength(vl1,vl2, . , vln)
  #pragma vector vectorlength(vl1,vl2, . , vln)

  Vectorizer chooses best vector length from the list according to cost model. If all vector length from the list are not profitable, the loop remains scalar. This pragma doesn’t force vectorization, thus it can be safely used for all loops.

Language features from the OpenMP* Technical Report 6 : Version 5.0 Preview 2 specifications are now supported.

• Explicit syntax for inclusive scan *
  #pragma omp simd[parallel] scan(scan-op: item-list)
#pragma omp inclusive_scan(item-list)
• Explicit syntax for exclusive scan *
  #pragma omp simd[parallel] scan(scan-op: item-list)
#pragma omp inclusive_scan(item-list)
  Prefix sum is computed correctly during vector execution
  *The syntax will be renamed in product release
• UDI for OpenMP* Parallel pragmas #pragma omp declare induction ( induction-id : induction-type :step-type : inductor ) [collector( collector )]

Download icon pack mac os x. For more information, see the compiler documentation or the link to the OpenMP* Specification above.

The Intel® C++ Compiler 19.0 supports the following features under the /Qstd=c++17 (Windows*) or -std=c++17 (Linux*/macOS*) options:

• Fold expressions(N4295)
• Inline variables(P0386R2)
• Construction rules for enum classes(P0138R2)
• Removing deprecated dynamic exception specifications(P0003R5)
• Make exception specifications part of the type system(P0012R1)
• constexpr lambda expressions(P0170R1)
• Lambda capture of *this(P0018R3)
• constexpr if-statements(P0292R2)
• Structured bindings(P0217R3)
• Separate variable and condition for if and switch(P0305R1)
• Please see C++17 Features Supported by Intel® C++ Compiler for an up-to-date listing of all supported features, including comparisons to previous major versions of the compiler.

The Intel® C++ Compiler 19.0 supports the following features under the /Qstd=c++14 (Windows*) or -std=c++14 (Linux*/macOS*) options:

• Please see C++14 Features Supported by Intel® C++ Compiler for an up-to-date listing of all supported features, including comparisons to previous major versions of the compiler.

The Intel® C++ Compiler 19.0 supports the following features under the /Qstd=c++11 (Windows*) or -std=c++11 (Linux*/macOS*) options:

• Please see C++11 Features Supported by Intel® C++ Compiler for an up-to-date listing of all supported features, including comparisons to previous major versions of the compiler.

The Intel® C++ Compiler supports the C11 features under the /Qstd=c11 (Windows*) or -std=c11 (Linux*/macOS*) options:

• Please see C11 Support in Intel® C++ Compiler for an up-to-date listing of all supported features, including comparisons to previous major versions of the compiler.

For details on these and all compiler options, see the Compiler Options section of the Intel® C++ Compiler 19.0 User's Guide.

• -qopenmp-simd set by default
• Canary bytes are cleared right after read with /GS by default/
• New -xcannonlake option
• New -mtune=cannonlake option
• -rcd option enabled “fast” float-to-integer conversions, by using round-to-nearest instead of truncating rounding. This option has been deprecated.

For a list of deprecated compiler options, see the Compiler Options section of the Intel® C++ Compiler19.0 User's Guide.

Parallel STL for parallel and vector execution of the C++ STL

Intel(R) C++ Compiler is installed with Parallel STL, an implementation of the C++ standard library algorithms with support for execution policies.

Features/APi changes

• More algorithms support parallel and vector execution policies: find_first_of, is_heap, is_heap_until, replace, replace_if.
• More algorithms support vector execution policies: remove, remove_if.
• More algorithms support parallel execution policies: partial_sort.

To learn more, please refer to article https://software.intel.com/en-us/get-started-with-pstl

Support Deprecated

Intel® Cilk™ Plus is a deprecated feature since Intel® C++ Compiler 18.0. For more information see Migrate Your Application to use OpenMP* or Intel® Threading Building Blocks (Intel® TBB) Instead of Intel® Cilk™ Plus

Support Removed

Removed support for 32 bit applications on macOS

Starting with the 19.0 release of the Intel® C++ Compiler, macOS 32-bit applications are no longer supported. If you want to compile 32-bit applications, you should use an earlier version of the compiler and Xcode* 9.4 or earlier.

Known Limitations

Tachyon deprecated from samples

In macOS 10.15, apple removed openGL framework, hence PSXE samples such as Tachyon uses openGL is also deprecated.

Xcode* 10 and Xcode* 11, new build system not supported

The Xcode 10 Beta introduced a “New Build System (Default)” which currently do not support custom compilers.You will see the error 'no rule to process file' when building an Intel C++ Compiler project within XCode 10 and Xcode 11. To use Intel compilers, switch to “Legacy Build System” in Project Settings.

Slow License Checkout macOS* 10.15 Catalina*

The license checkout performance on macOS Catalina 10.15 is roughly 1.1 seconds per source file. This is a 10x slowdown on this OS compared to previous versions of macOS. We are evaluating our license technology for a solution but at this time we have not root caused the issue. If this slowdown is an issue, please revert back to the previous macOS 10.14 where this slowdown does not occur.

Parallel STL

unseq and par_unseq policies only have effect with compilers that support '#pragma omp simd' or '#pragma simd. Parallel and vector execution is only supported for a subset of algorithms if random access iterators are provided, while for the rest execution will remain serial. Depending on a compiler, zip_iterator may not work with unseq and par_unseq policies.

Disclaimer and Legal Information

INFORMATION 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 SITUATION WHERE 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 design with 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 go to: http://www.intel.com/design/literature.htm

Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. Go to:

The Intel® C++ Compiler is provided under Intel's End User License Agreement (EULA).

Please consult the licenses included in the distribution for details.

Intel, Intel logo, and Cilk 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 © 2020 Intel Corporation. All Rights Reserved.

Intel C++ Compiler, also known as icc or icl, is a group of C and C++compilers from Intel available for Windows, Mac, Linux, FreeBSD^[3] and Intel-based Android devices.

Overview[edit]

The compilers generate optimized code for IA-32 and Intel 64 architectures, and non-optimized code for non-Intel but compatible processors, such as certain AMD processors. A specific release of the compiler (11.1) is available for development of Linux-based applications for IA-64 (Itanium 2) processors.

The 14.0 compiler added support for Intel-based Android devices and optimized vectorization and SSE Family instructions for performance. The 13.0 release added support for the Intel Xeon Phi coprocessor. It continues support for automatic vectorization, which can generate SSE, SSE2, SSE3, SSSE3, SSE4, AVX and AVX2SIMD instructions, and the embedded variant for Intel MMX and MMX 2.^[4] Use of such instruction through the compiler can lead to improved application performance in some applications as run on IA-32 and Intel 64 architectures, compared to applications built with compilers that do not support these instructions.

Intel compilers support Cilk Plus (removed in 19.1), which is a capability for writing vectorized and parallel code that can be used on IA-32 and Intel 64 processors or which can be offloaded to Xeon Phi coprocessors. They also continue support for OpenMP 4.0, symmetric multiprocessing, automatic parallelization, and Guided Auto-Parallization (GAP). With the add-on Cluster OpenMP capability, the compilers can also automatically generate Message Passing Interface calls for distributed memory multiprocessing from OpenMP directives.

Intel C++ is compatible with Microsoft Visual C++ on Windows and integrates into Microsoft Visual Studio. On Linux and Mac, it is compatible with GNU Compiler Collection (GCC) and the GNU toolchain. Intel C++ Compiler for Android is hosted on Windows, OS X or Linux and is compatible with the Android NDK, including gcc and the Eclipse IDE. Intel compilers are known for the application performance they can enable as measured by benchmarks, such as the SPEC CPU benchmarks.

Optimizations[edit]

Intel compilers are optimized to computer systems using processors that support Intel architectures. They are designed to minimize stalls and to produce code that executes in the fewest possible number of cycles. The Intel C++ Compiler supports three separate high-level techniques for optimizing the compiled program: interprocedural optimization (IPO), profile-guided optimization (PGO), and high-level optimizations (HLO). The Intel C++ compiler in the Parallel Studio XE products also supports tools, techniques and language extensions for adding and maintaining application parallelism on IA-32 and Intel 64 processors and enables compiling for Intel Xeon Phi processors and coprocessors.

Profile-guided optimization refers to a mode of optimization where the compiler is able to access data from a sample run of the program across a representative input set. The data would indicate which areas of the program are executed more frequently, and which areas are executed less frequently. All optimizations benefit from profile-guided feedback because they are less reliant on heuristics when making compilation decisions.

High-level optimizations are optimizations performed on a version of the program that more closely represents the source code. This includes loop interchange, loop fusion, loop fission, loop unrolling, data prefetch, and more.^[5]

Interprocedural optimization applies typical compiler optimizations (such as constant propagation) but using a broader scope that may include multiple procedures, multiple files, or the entire program.^[6]

David Monniaux has criticized Intel's compiler for applying, by default, floating-point optimizations which are not allowed by the C standard and which require special flags with other compilers such as gcc.^[7] Company law by luqman baig pdf free.

Architectures[edit]

• x86-64 (Intel 64 and AMD64)
• IA-64 (Itanium 2)

Description of packaging[edit]

Except for the Intel Bi-Endian C++ Compiler, Intel C++ compilers are not available in standalone form. They are available in suites:

Intel C++ Compiler Price

• Intel Parallel Studio XE for development of technical, enterprise, and high-performance computing applications on Windows, Linux and Mac
• Intel System Studio for development of system and app software for embedded systems or devices running Windows, Linux or Android

The suites include other build tools, such as libraries, and tools for threading and performance analysis.

History since 2003[edit]

Flags and manuals[edit]

Documentation can be found at the Intel Software Technical Documentation site.

Debugging[edit]

The Intel compiler provides debugging information that is standard for the common debuggers (DWARF 2 on Linux, similar to gdb, and COFF for Windows). The flags to compile with debugging information are /Zi on Windows and -g on Linux. Debugging is done on Windows using the Visual Studio debugger and, on Linux, using gdb.

While the Intel compiler can generate a gprof compatible profiling output, Intel also provides a kernel level, system-wide statistical profiler called Intel VTune Profiler. VTune can be used from a command line or thru an included GUI on Linux or Windows. It can also be integrated into Visual Studio on Windows, or Eclipse on Linux). In addition to the VTune profiler, there is Intel Advisor that specializes in vectorization optimization, offload modeling, flow graph design and tools for threading design and prototyping.

Intel also offers a tool for memory and threading error detection called Intel Inspector XE. Regarding memory errors, it helps detect memory leaks, memory corruption, allocation/de-allocation of API mismatches and inconsistent memory API usage. Regarding threading errors, it helps detect data races (both heap and stack), deadlocks and thread and synch API errors.

Reception[edit]

Intel and third parties have published benchmark results to substantiate performance leadership claims over other commercial, open-source and AMD compilers and libraries on Intel and non-Intel processors. Intel and AMD have documented flags to use on the Intel compilers to get optimal performance on Intel and AMD processors.^[11][12] Nevertheless, the Intel compilers have been known to use sub-optimal code for processors from vendors other than Intel. For example, Steve Westfield wrote in a 2005 article at the AMD website:^[13]

Intel 8.1 C/C++ compiler uses the flag -xN (for Linux) or -QxN (for Windows) to take advantage of the SSE2 extensions. For SSE3, the compiler switch is -xP (for Linux) and -QxP (for Windows). . With the -xN/-QxN and -xP/-QxP flags set, it checks the processor vendor string—and if it's not 'GenuineIntel', it stops execution without even checking the feature flags. Ouch!

The Danish developer and scholar Agner Fog wrote in 2009:^[14]

The Intel compiler and several different Intel function libraries have suboptimal performance on AMD and VIA processors. The reason is that the compiler or library can make multiple versions of a piece of code, each optimized for a certain processor and instruction set, for example SSE2, SSE3, etc. The system includes a function that detects which type of CPU it is running on and chooses the optimal code path for that CPU. This is called a CPU dispatcher. However, the Intel CPU dispatcher does not only check which instruction set is supported by the CPU, it also checks the vendor ID string. If the vendor string is 'GenuineIntel' then it uses the optimal code path. If the CPU is not from Intel then, in most cases, it will run the slowest possible version of the code, even if the CPU is fully compatible with a better version.

This vendor-specific CPU dispatching (function multi-versioning) decreases the performance on non-Intel processors of software built with an Intel compiler or an Intel function library – possibly without the knowledge of the programmer. This has allegedly led to misleading benchmarks,^[14] including one incident when changing the CPUID of a VIA Nano significantly improved results.^[15] A legal battle between AMD and Intel over this and other issues has been settled in November 2009.^[16] In late 2010, AMD settled a US Federal Trade Commissionantitrust investigation against Intel.^[17]

The FTC settlement included a disclosure provision where Intel must:^[18]

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publish clearly that its compiler discriminates against non-Intel processors (such as AMD's designs), not fully utilizing their features and producing inferior code.

In compliance with this rule, Intel added an 'optimization notice' to its compiler descriptions stating that they 'may or may not optimize to the same degree for non-Intel microprocessors' and that 'certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors'. It says that:^[19]

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

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As reported by The Register^[20] in July 2013, Intel was suspected of 'benchmarksmanship', when it was shown that the object code produced by the Intel compiler for the AnTuTu Mobile Benchmark omitted portions of the benchmark which showed increased performance compared to ARM platforms.

See also[edit]

• Intel Integrated Performance Primitives (IPP)
• Intel Data Analytics Acceleration Library (DAAL)
• Intel Math Kernel Library (MKL)
• Intel Threading Building Blocks (TBB)
• VTune Amplifier
• Intel Developer Zone (Intel DZ; support and discussion)

References[edit]

1. ^'Intel C++ Compiler 19.1 Release Notes'.
2. ^'Intel C++ Compiler for Android documentation'.
3. ^'Intel® System Studio 2016 for FreeBSD* Intel® Software'. software.intel.com. Retrieved 2018-03-15.
4. ^A. J. C. Bik, The Software Vectorization Handbook (Intel Press, Hillsboro, OR, 2004), ISBN0-9743649-2-4.
5. ^The Software Optimization Cookbook, High-Performance Recipes for IA-32 Platforms, Richard Gerber, Aart J.C. Bik, Kevin B. Smith, and Xinmin Tian, Intel Press, 2006
6. ^Intel C++ Compiler XE 13.0 User and Reference Guides
7. ^The pitfalls of verifying floating-point computations, by David Monniaux, also printed in ACM Transactions on programming languages and systems (TOPLAS), May 2008; section 4.3.2 discusses nonstandard optimizations.
8. ^This note is attached to the release in which Cilk Plus was introduced. This ULR points to current documentation: http://software.intel.com/en-us/intel-composer-xe/
9. ^Intel C++ Composer XE 2013 Release Notes[1]http://software.intel.com/en-us/articles/intel-c-composer-xe-2013-release-notes/
10. ^'Intel® Compilers Intel® Developer Zone'. Intel.com. 1999-02-22. Retrieved 2012-10-13.
11. ^[2]Archived March 23, 2010, at the Wayback Machine
12. ^'Archived copy'(PDF). Archived from the original(PDF) on 2011-03-22. Retrieved 2011-03-30.CS1 maint: archived copy as title (link)
13. ^'Your Processor, Your Compiler, and You: The Case of the Secret CPUID String'. Archived from the original on 2012-01-05. Retrieved 2011-12-11.
14. ^ ^ab'Agner`s CPU blog - Intel's 'cripple AMD' function'. www.agner.org.
15. ^Hruska, Joel (29 July 2008). 'Low-end grudge match: Nano vs. Atom'. Ars Technica.
16. ^'Settlement agreement'(PDF). download.intel.com.
17. ^'Intel and U.S. Federal Trade Commission Reach Tentative Settlement'. Newsroom.intel.com. 2010-08-04. Retrieved 2012-10-13.
18. ^'FTC, Intel Reach Settlement; Intel Banned From Anticompetitive Practices'. Archived from the original on 2012-02-03. Retrieved 2011-10-20.
19. ^'Optimization Notice'. Intel Corporation. Retrieved 11 December 2013.
20. ^'Analyst: Tests showing Intel smartphones beating ARM were rigged'.

External links[edit]

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If the above method doesn't work for you for some reason, then you can try this method - 2.In this method, we use the MEmuplay emulator to install Coding C - The offline C compiler on your Windows / Mac PC.

MemuPlay is simple and easy-to-use software. It is very lightweight compared to Bluestacks. As it is designed for gaming purposes, you can play high-end games like Freefire, PUBG, Temple Run, etc.

1. Open Memuplay website by clicking this link - Download Memuplay Emulator
2. Once you open the website, you will find a big 'Download' button. Click it and it will start the download based on your OS.
3. After the download is complete, please install it by double-clicking it. Installation is as simple and easy as any other software installation.
4. Once the installation is complete, open the Memuplay software. It may take some time to load for the first time. Just be patient until it completely loads and available.
5. Memuplay also comes with Google play store pre-installed. On the home screen, double-click the Playstore icon to open it.
6. Now you can search Google Play store for Coding C - The offline C compiler app using the search bar at the top. Click 'Install' to get it installed. Always make sure you download the official app only by verifying the developer's name. In this case, it is 'Kvass Yu'.
7. Once the installation is over, you will find the Coding C - The offline C compiler app under the 'Apps' menu of Memuplay. Double-click the app icon to open and use the Coding C - The offline C compiler in your favorite Windows PC or Mac.

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Hope this guide helps you to enjoy Coding C - The offline C compiler on your Windows PC or Mac Laptop. If you face any issues or have any questions, please comment below.