Intel C Plus Plus Compiler v10.1.021 x86
- کاربرد : بهترین نرم افزار در زمینه ایجاد نرم افزارهای چندمنظوره.
- نسخه :Version 10.1.021
- نوع فایل : نرم افزار
- زبان : انگلیسی
- سیستم عامل : Windows 32Bit
- تولید کننده : Intel
- سیستم مورد نیاز : 2009
- سال تولید : 2009
توضیحات
Intel C Plus Plus Compiler نام بهترین نرم افزار در زمینه ایجاد نرم افزارهای چندمنظوره است. این نرم افزار بهترین ابزار را برای تجزیه و تحلیل کارهایتان ارائه می دهد و دارای بخش پشتیبانی در خود نرم افزار برای راهنمایی شما می باشد. دارای ابزاری برای ایجاد برنامه های چند منظوره به صورت هایپر نیز در این نرم افزار موجود است.از ویژگی های منحصر به فرد این نرم افزار می توان به داشتن Template برای ایجاد نرم افزار ، استفاده از قوانین ریاضی برای ایجاد آن و داشتن کتابخانه راهنما استفاده کرد.
Description
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 AVX2 SIMD instructions, and the embedded variant for Intel MMX and MMX 2.[3] 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, 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 macOS, 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.
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 AVX2 SIMD instructions, and the embedded variant for Intel MMX and MMX 2.[3] 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, 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 macOS, 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.
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