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Product Information

Intel Cluster Studio 2011 helps MPI application developers create high performance parallel applications for Windows or Linux clusters. An Intel Cluster Studio 2011 licence provides you with an extensive tool suite including C++ Composer XE, Fortran Composer XE, MPI Library, Trace Analyzer and Collector, Math Kernel Library, Integrated Performance Primitives, Threading Building Blocks, MPI Benchmarks and the Intel Debugger.

Documents & Downloads

Features

Intel Cluster Studio 2011 comprises of:

Intel C++ Composer XE

Intel C++ Composer XE enables software engineers to develop high performance applications for the latest Intel IA-32 and Intel 64 architectures. The compiler supports OpenMP, advanced vectorisation, Intel Parallel Building Blocks and more.

Intel Fortran Composer XE

Intel Fortran Composer XE is a powerful Fortran compiler that compiles highly optimised Fortran code designed for maximum performance on Intel processor-based platforms. Amongst the compiler's advanced features are automatic vectorisation which can safely optimise loops to run in parallel, automatic processor dispatch, loop unrolling and more.

Intel MPI Library

The Intel MPI Library implements the MPI-2 specification across multiple fabrics to enhance application performance on clusters using Intel processors. In addition it provides an abstraction layer than enables you to modify cluster interconnects without having to make major changes to the software. The high performance multifabric message-passing library works on either Windows or Linux and delivers ultimate high performance computing capabilities.

Intel Trace Analyzer and Collector

Intel Trace Analyzer and Collector enables you to analyse and optimise applications running on Intel architecture-based clusters. With Trace Analyzer and Collector you can quickly identify performance issues, visualise parallel application performance, evaluate load balancing, analyse performance down to subroutines or the code block level and much more.

Intel Math Kernel Library

Intel Math Kernel Library (Intel MKL) is a library of highly optimised, 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 much more.

Intel Integrated Performance Primitives

Intel Integrated Performance Primitives provide a library of ready-to-use, highly optimised functions in the areas of media and data processing. Intel Integrated Performance Primitives features functions in a range of categories including video and audio coding, image coding and processing, speech recognition, data compression, cryptography, vector and matrix mathematics, ray tracing/rendering and more.

Intel Threading Building Blocks

Intel Threading Building Blocks is a powerful C++ library that helps create parallel applications. Take advantage of task-based routines that scale to all available processor cores and work across multiple platforms but do not require low level threading programming. Intel Threading Building Blocks can future-proof your applications by taking advantage of additional processor cores as new processors are released, enhance the speed of your applications and reduce development time.

Intel MPI Benchmarks

The latest version of the Intel MPI Benchmarks support:

• Message buffers greater than 2 GB for some MPI collective benchmarks including Allgather, Alltoall, Gather and Scatter
• New '-include' and '-exclude' command line options for controlling execution of the default benchmarks list
• 2 new benchmarks - PingPongSpecificSource and PingPingSpecific Source - uses the exact destination rank instead of MPI_ANY_SOURCE.

Intel Debugger

The Intel Debugger is a full-featured symbolic source code application debugger that helps programmers debug programmes, disassemble and examine machine code and examine machine register values, debug programmes with shared libraries and debug multithreaded applications.

Benefits

• Supports both Linux and Windows - use the same set of tools (purchased separately) on both Windows and Linux operating systems for enhanced performance, productivity and programmability
• Powerful C/C++ compilers - provide choice of parallelism - process, task, data and vector - for applications with mix-and-match flexibility for optimising application performance on clusters of SMP nodes
• Powerful Fortran compilers - the latest versions of the Fortran compilers include new support for scalable parallelism on nodes and clusters and more support for Fortran 2008 and Fortran 2003 features
• Load imbalance diagram and ideal interconnect simulator - use the MPI analysis tools to enhance productivity and efficiencies by quickly detecting errors and offering performance profiling
• Updated libraries - use the latest version of the Math Kernel Library for maximum multicore performance for common math tasks and the IPP library for data processing tasks
• Highly scalable - the multirail InfiniBand (IB) support and application tuner means the MPI library can scale to tens of thousands of cores.