Intel Parallel Composer v1.0.061
- کاربرد : ابزار ساخت سریعتر برنامه و نرم افزار.
- نسخه :Version 1.0.061
- نوع فایل : نرم افزار
- زبان : انگلیسی
- سیستم عامل : Windows 32Bit & 64Bit
- تولید کننده : Intel
- سال تولید : 2009
توضیحات
ابزاری که به برنامه نویسان و سازندگان اپلیکیشن کمک می کند تا سریعتر به ساخت یک برنامه برسند.
Description
Intel Parallel Composer equips novice and advanced developers to create faster applications that exploit multicore and enable portability, reliability, scalability, and simplicity.
An invaluable addition to the Microsoft Visual Studio* C/C++ developer toolset, Intel Parallel Composer 2011 delivers support for new language extensions and offers extensive capabilities for simplified implementation of task and data parallelism. Though applications vary, in many instances a simple recompile results in a performance improvement of 10 percent or greater.
Benefits:
Improved application performance with advanced compiler options and libraries
Supports Intel® Parallel Building Blocks, a set of comprehensive parallel models, which provides choices for how to quickly implement robust parallelism.
Saves time and takes advantage of multicore processors with automatic functions.
Compatible with Microsoft Visual Studio*, preserving user skills, while safeguarding existing investments.
Supports the entire spectrum of parallel expression from simple to complex, data to task, by offering application-class-specific, pre-threaded, and thread-safe libraries.
An invaluable addition to the Microsoft Visual Studio* C/C++ developer toolset, Intel Parallel Composer 2011 delivers support for new language extensions and offers extensive capabilities for simplified implementation of task and data parallelism. Though applications vary, in many instances a simple recompile results in a performance improvement of 10 percent or greater.
Benefits:
Improved application performance with advanced compiler options and libraries
Supports Intel® Parallel Building Blocks, a set of comprehensive parallel models, which provides choices for how to quickly implement robust parallelism.
Saves time and takes advantage of multicore processors with automatic functions.
Compatible with Microsoft Visual Studio*, preserving user skills, while safeguarding existing investments.
Supports the entire spectrum of parallel expression from simple to complex, data to task, by offering application-class-specific, pre-threaded, and thread-safe libraries.
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