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AMD updates Opteron processors

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AMD has announced significant updates to its AMD Core Math Library (ACML) designed to provide software developers with highly optimized, multi-threaded math routines used by scientific, engineering, business and consumer applications that require maximum performance.

Designed for developers and mathematical programmers seeking additional support for multi-threading and complex high performance computing projects, ACML offers support for all major x86 operating environments including Windows, Linux, and Solaris. ACML can be downloaded at no charge from AMD Developer Central, an on-line destination for developers seeking support for multi-threading software development projects or x86-based computing projects that demand highly-optimized code.
“The enhancements in ACML 4.0 underscore AMD’s ongoing commitment to delivering more advanced and powerful development tools to programmers, especially as the industry continues to evolve to many-core processing environments,” says Imi Mosaheb, AMD country manager. “With these enhancements to ACML, programmers seeking to unleash the computing power of AMD’s native quad-core processors will have highly optimized support for complex mathematical and linear programming.”
ACML is a set of numerical routines tuned specifically for AMD64 processors designed to increase support for linear programming, an optimizing technique for mathematically intensive code, in multi-core processing environments.  
Enhancements to ACML include an update to the Linear Algebra Package (LAPACK) and increased optimizations for Quad-Core AMD Processors, including Quad-Core AMD Opteron Processors and the upcoming AMD Phenom quad-core processor. ACML is specifically designed to use key components of next-generation AMD processors, including Streaming SIMD Extensions (SSE), and to create highly threaded code that can help developers to better utilize multi-core processor technology.
ACML consists of the following features:
*  A full implementation of Level 1, 2 and 3 Basic Linear Algebra Subroutines (BLAS), with key routines optimized for high performance on AMD Opteron processors.
*  A full suite of Linear Algebra (LAPACK) routines. As well as taking advantage of the highly-tuned BLAS kernels, a key set of LAPACK routines has been further optimized to achieve considerably higher performance than standard LAPACK implementations.
*  A comprehensive suite of Fast Fourier Transforms (FFTs) in single-, double-, single-complex and double-complex data types.
*  Fast scalar, vector, and array math transcendental library routines optimized for high performance on AMD Opteron processors.
*  Random Number Generators in both single- and double-precision.
ACML is designed to be used with a variety of popular x86 C/C++ and Fortran compilers, including GCC and GFortran (The GNU Compiler Collection), PGI, Pathscale, Sun, and Intel, providing developers with freedom of choice when creating highly-optimized, multi-threaded code. With the tuned implementations of industry-standard math libraries and other frequently used scientific subroutines, ACML enables developers to accelerate complex programming efforts such as weather modeling, finite element analysis, computational fluid dynamics, financial analysis, and oil and gas applications.