HP MLIB for Itanium Linux Version 9.6 Release Note
Table Of Contents
- Announcement
- What’s in This Version
- Known Problems and Workarounds
- Fortran I/O dependencies in SOLVERS library
- Default OpenMP library stack is too small for MLIB
- Incorrect math library link order for the Intel Fortran compiler
- Dealing with Underscore Compatibility and Duplicated Symbols
- User and Library Subprogram Name Conflicts
- Work length for LAPACK standard eigensolver routine ZHEEVD
- Compatibility Information
- Installation Requirements
- Software Availability in Native Languages
- Associated Documentation
- Support Information

HP MLIB for Itanium Linux Version 9.6 Release Note
What’s in This Version
HP MLIB for Itanium Linux Version 9.6 Release Note6
What’s in This Version
HP MLIB contains mathematical software and computational kernels for engineering and
scientific applications involving linear equations, least squares, eigenvalue problems, singular
value decomposition, vector and matrix computations, convolutions, and Fourier Transforms.
This release of HP MLIB for Itanium® Linux has six components: VECLIB, LAPACK,
ScaLAPACK, SuperLU_DIST, SOLVERS, and VMATH. 64-bit address libraries with all
integer values using 64-bits (Fortran Integer*8 or C/C++ long long) are referred to as
VECLIB8, LAPACK8, ScaLAPACK8, SuperLU_DIST8, SOLVERS8, and VMATH8
respectively.
HP MLIB also contains 64-bit address libraries with 64-bit integer values that use calling
conventions similar to those found in Cray Incorporated’s SCILIB math and scientific library.
These libraries are referred to as VECLIBSC8 and LAPACKSC8.
HP MLIB for Itanium® Linux contains robust callable subprograms including all Basic
Linear Algebra Subprograms (BLAS) 1, 2, and 3 subroutines; sparse BLAS subroutines; a
collection of commonly used dense and sparse linear system solvers including LAPACK,
ScaLAPACK, and SuperLU_DIST; full METIS functionality; Fast Fourier Transforms (FFTs);
and convolutions. HP MLIB for Itanium® Linux can be used on systems that range from
single-processor servers to multi-processor servers, and is optimized for Itanium®2-based
processors.