Edition 11.0 for Linux*, Windows*, and Mac OS*
IntelŽ C++ Compiler Professional Edition delivers rapid development and winning performance for the full range of IntelŽ processor-based platforms. Professional Edition comes with the compiler’s breadth of advanced optimization, multithreading, and processor support, including automatic processor dispatch, vectorization, and loop unrolling. It also provides highly optimized C++ templates for parallelism, math processing, and multimedia libraries. Professional Edition creates a strong foundation for building robust, high-performance parallel code at significant price savings. IntelŽ compilers integrate into popular development environments and feature source and binary compatibility with other widely used compilers. subir

Edition 11.0 for Linux*, Windows*, and Mac OS*
IntelŽ Fortran Compiler Professional Edition delivers rapid development and winning performance for the full range of IntelŽ processor-based platforms. Professional Edition comes with the compiler’s breadth of advanced optimization, multithreading, and processor support, including automatic processor dispatch, vectorization, and loop unrolling. It also provides a highly optimized math library. Professional Edition creates a strong foundation for building robust, high-performance parallel code at significant price savings. IntelŽ compilers integrate into popular development environments and feature source and binary compatibility with other widely-used compilers. subir

Edition 3.2 for Linux* and Windows*
IntelŽ Cluster Toolkit Compiler Edition 3.2 provides an extensive software package containing IntelŽ C++ and IntelŽ Fortran Compilers for all IntelŽ architectures, plus all the IntelŽ Cluster Tools to develop, analyze, and optimize performance of parallel applications on Linux* or Windows* Compute Cluster Server (CCS) clusters. By combining all the compilers and tools into one license package, Intel can provide single installation, interoperability, and support for the best-in-class tools at an incredibly low package price. All the software tools included with Intel Cluster Toolkit Compiler Edition have undergone a major revision to give you the best parallel performance analysis tools for cluster software development. subir

Edition 3.2 for Linux* and Windows*
IntelŽ Cluster Toolkit 3.2 provides exceptional value at a significantly discounted price for clusters running either Linux* or Microsoft Windows Compute Cluster Server*. Easy to install and easy to use, this IntelŽ software package helps you develop, analyze, and optimize performance of parallel applications for clusters using IntelŽ 32- and 64-bit architectures. Bundling IntelŽ Trace Analyzer and Collector, IntelŽ Math Kernel Library, IntelŽ MPI Library, and IntelŽ MPI Benchmarks into a single package, Intel Cluster Toolkit 3.2 assures industry-wide compatibility and fully tested interoperability of these best-in-class tools. subir

IntelŽ IPP 6.0
IntelŽ Integrated Performance Primitives (IntelŽ IPP) is an extensive library of multicore-ready, highly optimized software functions for digital media and data-processing applications. Intel IPP offers thousands of optimized functions covering frequently used fundamental algorithms. Intel IPP functions are designed to deliver performance beyond what optimized compilers alone can deliver by matching the function algorithms to low-level optimizations based on available processor features such as Streaming SIMD Extensions (SSE), and other optimized instruction sets. Intel IPP is easy to use and integrated with popular development tools and environments, such as Microsoft Visual Studio*, Xcode*, Eclipse*, and the GNU Compiler Collection* (GCC*). subir

Intel® MKL 10.1
IntelŽ Math Kernel Library (IntelŽ MKL) is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. Offering performance optimizations for IntelŽ next-generation microarchitecture, it includes improved integration with Microsoft Visual Studio*, Eclipse*, and XCode*. Intel MKL allows for full integration of the Intel Compatability OpenMP* run-time library for greater Windows*/Linux* cross-platform compatibility. subir

Intel® TBB 2.1 for Linux*, Windows*, and Mac OS*
IntelŽ Threading Building Blocks (IntelŽ TBB) 2.1 is an award-winning runtime library that simplifies the writing of multithreaded applications. Just as the C++ Standard Template Library (STL) extends the core language, Intel TBB offers C++ users a higher-level abstraction for parallelism. To implement Intel TBB, developers use familiar C++ templates and coding style, leaving low-level threading details to the library. It is also portable between architectures and operating systems. With Intel TBB, developers get the benefits of faster programming, scalable performance, and easier-to-maintain code. subir

Intel® VTune 9.1 for Linux* and Windows*
IntelŽ VTune™ Performance Analyzer evaluates applications on all sizes of systems based on IntelŽ processors, from embedded systems to supercomputers, to help you improve application performance. VTune Performance Analyzer makes application performance tuning easier and is indispensable for making your software run its fastest on the latest single and multicore systems. It is compiler and language independent so it works with C, C++, Fortran, C#, Java, .NET, and more. Unlike some products that offer only call graph analysis or only a limited set of sampling events, VTune Performance Analyzer offers both with an extensive set of tuning events for all the latest IntelŽ processors. subir

Intel® MPI Library 3.2 for Linux* and Windows*
IntelŽ MPI Library 3.2 focuses on making applications perform better on IA-based clusters—implementing the high-performance MPI-2 specification on multiple fabrics. It enables you to quickly deliver maximum end-user performance even if you change or upgrade to new interconnects, without requiring major changes to the software or operating environment. Use this high-performance message-passing interface library to develop applications that can run on multiple cluster fabric interconnects chosen by the user at runtime. Intel also provides a free runtime environment kit for products developed with the Intel MPI library. Get best-in-class performance for enterprise, divisional, departmental, and workgroup high performance computing. subir

Intel® Thread Checker 3.1 for Linux* and Windows*
IntelŽ Thread Checker is an analysis tool that pinpoints hard-to-find threading errors like data races and deadlocks in 32-bit and 64-bit applications. It can also be integrated into an automated Quality Assurance/test process to ensure code quality. Comprehensive error detection mitigates the risk of adding threads and enables hands-on learning about the fundamental principles of threading. Accelerate the development of threaded applications by detecting hard-to-find threading errors before they happen and get the performance advantage from IntelŽ multicore processors. subir

Intel® Thread Profiler 3.1 for Windows*
IntelŽ Thread Profiler 3.1 for Windows* helps tune multithreaded applications faster, for optimal performance on IntelŽ multicore processors. It measures the number of cores that are effectively utilized by the application to determine actual parallel performance. It also shows both concurrency and timeline views simultaneously to help visualize what percent of code is optimally parallel and where application performance issues exist. Advanced thread profiling functionality includes OpenMP* analysis, enabling quick prototyping and estimation of the performance potential of different designs. Identify the regions of threaded code most likely to improve performance and build performance and scalability into your applications with IntelŽ Thread Profiler 3.1. subir

Intel® Trace Analyzer and Collector 7.2 for Linux* and Windows*
IntelŽ Trace Analyzer and Collector 7.2 is a powerful tool for understanding MPI application behavior, quickly finding bottlenecks, and achieving high performance for parallel cluster applications. It supports IntelŽ architecture-based cluster systems, features a high degree of compatibility with current standards, and now includes trace file comparison, counter data displays, and an MPI correctness checking library. Analyze MPI performance, speed up parallel application runs, locate hotspots and bottlenecks, and compare trace files with graphics providing extensively detailed analysis and aligned timelines—all with IntelŽ Trace Analyzer and Collector 7.2. subir