Intel C++ Compiler Professional 11.1.060

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Intel C++ Compiler v9.1.032

Intel C++ Compiler v9.1.032

size 54.27 MB

The Intel C++ Compiler for Windows unleashes the vast potential of the next generation of multi-core Intel processors. Multithreaded processing is within easy reach of software developers today, enabling you to benefit from strides forward in hardware technology. The Intel C++ Compiler for Windows delivers rapid development and winning performance for the full range of Intel processor-based platforms.

Automatically optimize and parallelize software to take best advantage of multi-core Intel processors, including dual-core mobile, desktop, and enterprise platforms.

Overview of Advanced Optimization Features

Software compiled using the Intel C++ Compilers for Windows benefits from advanced optimization features, a few of which are explained briefly here, with links to more complete descriptions:

* Multithreaded Application Support, including OpenMP and auto-parallelization for simple and efficient software threading.

* Interprocedural Optimization (IPO) dramatically improves performance of small- or medium-sized functions that are used frequently, especially programs that contain calls within loops.

* Profile-guided Optimization (PGO) improves application performance by reducing instruction-cache thrashing, reorganizing code layout, shrinking code size, and reducing branch mispredictions.

* Automatic Vectorizer parallelizes code and aligns data, including loop peeling to generate aligned loads and loop unrolling to match the prefetch of a full cache line.

* High Level Optimization (HLO) delivers aggressive optimization with loop transformation and pre-fetching.

* Optimized Code Debugging with the Intel® Debugger improves the efficiency of the debugging process on code that has been optimized for Intel architecture.

Advanced Optimization Features in Depth

This section gives detailed descriptions about the features described at a high level in the section above called "Overview of Advanced Optimization Features."

Multithreaded Application Support

OpenMP and auto-parallelization help convert serial applications into parallel applications, allowing you to take full advantage of multi-core technology like the Intel Core Duo processor and dual-core Itanium 2 processor, as well as symmetric multiprocessing systems:

* OpenMP* is the industry standard for portable multithreaded application development. It is effective at fine-grain (loop-level) and large-grain (function-level) threading.

OpenMP directives are an easy and powerful way to convert serial applications into parallel applications, enabling potentially big performance gains from parallel execution on multi-core and symmetric multiprocessor systems.

* Auto Parallelization improves application performance on multiprocessor systems by means of automatic threading of loops. This option detects parallel loops capable of being executed safely in parallel and automatically generates multithreaded code.

Automatic parallelization relieves the user from having to deal with the low-level details of iteration partitioning, data sharing, thread scheduling, and synchronizations. It also provides the performance benefits available from multiprocessor systems and systems that support Hyper-Threading Technology (HT Technology).

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[Cyph3r]

Intel C++ Compiler Professional 11.1.060

Intel® Visual Fortran Compiler Professional Edition for Windows*:

The features you need to create high-performance, multi-threaded apps for multi-core systems.

The Intel® Visual Fortran Compiler Professional Edition 11.1 delivers advanced capabilities for development of application parallelism and winning performance for the full range of Intel® processor-based platforms. It includes the compiler’s breadth of advanced optimization, multithreading, and processor support, as well as automatic processor dispatch, vectorization, and loop unrolling. It also includes optimized math processing functions in the Intel® Math Kernel Library (Intel® MKL).

Multi-Threaded Application Support, including, new in 11.0, OpenMP 3.0 (data- and now task-parallelism), and auto-parallelization for simple and efficient software threading.

Auto-vectorization parallelizes code to utilize the Streaming SIMD Extensions (SSE) instruction set architectures (SSE, SSE2, SSE3, SSSE3, and SSE4) of our latest processors.

High-Performance Parallel Optimizer (HPO) restructures and optimizes loops to ensure that auto-vectorization, OpenMP, or auto-parallelization make best use of cache and memory accesses, SIMD instruction sets, and multiple cores. Compiles in a single pass, improving compile-time and producing more reliable code.

Interprocedural Optimization (IPO) dramatically improves performance of small- to mid-sized functions, especially in programs containing calls within loops. IPO analysis gives feedback on vulnerabilities and coding errors, such as uninitialized variables or OpenMP API issues, which cannot be detected as well by other compilers.

Profile-guided Optimization (PGO) improves application performance by reducing instruction-cache thrashing, reorganizing code layout, shrinking code size, and reducing branch mispredictions.

Intel® Math Kernel Library includes optimized and scalable math routines for maximizing performance, and seamlessly provides forward scaling from current to future many-core platforms.

New, integrated, simplified installation gets you going with all capabilities quickly and easily. Simplified ‘custom’ install makes it easy to identify just the components you want.

Ongoing Premier Support now includes online community-support forums to speed information flow, in addition to private, password-protected accounts. Technical support, interactive issues management, access to technical and application notes, product updates and more with every commercial and academic

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