Microsoft Visual C++ 7.0 + STLport 5.0.1.Microsoft Visual C++ 6.0 Service Pack 5 + STLport 4.5.3 and later.Microsoft Visual C++ 6.0 Service Pack 5.Intel C++ Compiler for Windows 64-bit 10.0 and later.Intel C++ Compiler for Windows 32-bit 8.0 and later.Intel C++ Compiler for Mac OS 9.1 and later.Intel C++ Compiler for Linux 8.1 and later.HP aC++ A.06.12 and later for HP-UX IA64.Compaq C++ 6.5-042 and later for Tru64 UNIX.We list the limitations encountered,Īlong with suitable workarounds when available. New integrated, simplified installation gets you going with all capabilities quickly and has been tried in different compilers, with.Intel ® Integrated Performance Primitives is an extensive library of multi-core-ready, highly optimized software functions for multimedia data processing, and communications applications.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.Intel ® TBB is the most efficient way to implement parallel applications and unleash multi-core platform performance Intel ® Threading Building Blocks is an award winning C + + template library that abstracts threads to tasks to create reliable, portable and scalable parallel applications.Profile-guided Optimization (PGO) improves application performance by reducing instruction-cache thrashing, reorganizing code layout, shrinking code size, and reducing branch mispredictions.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 Interprocedural Optimization (IPO) dramatically improves performance of small-to mid-sized functions, especially in programs containing calls within loops.Compiles in a single pass, improving compile-time and producing more reliable code 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.Auto-vectorization parallelizes code to utilize the Streaming SIMD Extensions (SSE) instruction set architectures (SSE, SSE2, SSE3, SSSE3, and SSE4) of our latest processors.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.Integration into Microsoft Visual Studio * 20.

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