| Bundling Compilers and Cluster Tools for Intel® IA-32, IA-64, and Intel® 64 architectures, the Intel® Cluster Toolkit Compiler Edition 3.1 provides Windows or Linux versions of the Intel Compilers for C++ and Fortran, Cluster Open MP libraries (Linux only) in addition to the Intel® Cluster Tools for a software package unrivaled by any other offerings.
The Intel Cluster Toolkit Compiler Edition 3.1 license provides access and support for the following programs on either Windows CCS OR Linux:
- Intel® C++ Compiler 10.1
- Intel® Fortran Compiler 10.1
- Intel® MPI Library 3.1
- Intel® Trace Analyzer and Collector 7.1
- Intel® Math Kernel Library 10.0
- Intel® MPI Benchmarks 3.1
- Intel® Debugger 10.1 (except with Windows Intel® MPI Library applications)
- Intel® Cluster OpenMP for Intel Compilers for Linux (Linux except IA-32)
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| The latest releases of all the Cluster Tools have increased performance and ease-of use while improving interoperability, scalability, and number of user options. |
| Intel Cluster Toolkit Compiler Edition 3.1 integrates your compiler of choice with the Cluster Tools, provides easy installation, and comes with extensive documentation. With a valid product serial number for the Intel Cluster Toolkit Compiler Edition, you can register and/or login to the Intel® Software Development Products Registration Center and download the package and updates for one year from the date of purchase. Extended support agreements are also available. See the left side toolbar for additional support resources including community forums, compatibility, and solutions. |
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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.
The following list contains just a few of the many new features included in this latest version.
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Intel® Compilers
- For new features in each of the Intel Compilers, please check the individual page links above
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Intel® MPI Library 3.1
- Multiple usability improvements
- Simplified variable names, options, and diagnostics
- Unified Intel memory management support (i_malloc)
- PVFS and PANFS file system support
- Lightweight statistics gathering
- Enhanced documentation
- Improved application performance
- Improved default performance settings
- Automated performance tuning on Linux
- Intelligent process layout and pinning
- Scalable application startup/termination
- Event driven mode for the shared memory and socket transfers
- Extended interoperability
- Support for Windows Computer Cluster Server and Red Hat Enterprise Linux 5.0
- Intel® 10.1 C++ and Fortran compiler support
- TotalView* and IDB process attachment support
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Intel® Trace Analyzer and Collector 7.1
- Multiple usability improvements
- More reports, more graphics, more analysis, more filtering, more powerful!
- MPI Correctness Checking
 Check MPI parameters, data types, buffers, communicators, messages, and collective operations
Detect deadlocks and corruption
- Command line integration to Trace Analyzer
- Automatic instrumentation of user binaries for all supported platforms and OS
- Distributed memory checking, advanced data handling (large and aggregated data)
- Improved performance
- Accelerated data caching to reduce runtime overhead and memory consumption
- Lightweight statistics gathering
- Optimized stack unwinding for linking trace information back to source code
- Extended interoperability
- Thread safe tracing with extended tracing support for Cluster OpenMP, Global Arrays (GA), and non-MPI applications
- Support for Microsoft Windows* (XP, Server 2003, and Compute Cluster Server)
- Compatible with Microsoft and Intel compilers and Visual Studio*
- Support for MPI-1, SHMEM, MPI-IO, and ROMIO
- Automatic compiler-driven instrumentation with Intel and GNU compilers
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Intel® Math Kernel Library 10.0
- New functions
- Sparse BLAS zero-based indexing and support for real data
- PARDISO/DSS (Parallel Direct Sparse Solver) support for Out-of-core (OOC) memory
- Iterative Sparse Solver support extended with ILUT preconditioner, Sparse 0-based indexing, and new mkl_scsrgemv function
- Vector Math arithmetic functions (Mul, Conj, MulbyConj, CIS, Abs)
- Multiple usability improvements
- Greatly enhanced User’s Guide
- New user callable threading functions allowing greater control
- Extended Java support with many examples in documentation
- Improved application performance
- Multi-core multithreading optimization
- New Vector Math “Enhanced Performance” accuracy mode
- Faster FFTs DftiCommitDescriptor function which allocates less memory
- Numerous optimizations for small BLAS/LAPACK/FFT problem sizes
- Extended interoperability
- Cluster enabled capability available in single MKL product
- New layered architecture to better support Microsoft and GCC compiler threading
- Debian and Ubuntu support
- Improved support for multiple compiler environments, threading libraries, and interfaces through restructuring of the library files
Intel® MPI Benchmarks 3.1
- Multiple usability improvements
- New benchmarks (Gather(v), Scatter(v))
- Improved application performance
- New Command line flags to control cache reuse and to limit memory usage
- Options for cold cache operation mode, maximum buffer size setting and dynamic iteration count determination
- Run time improvements for collectives like Alltoall(v) on large clusters
- Extended interoperability
- Support for Windows Compute Cluster Server
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