Installation guide

Intel® Parallel Studio XE 2015 Composer Edition for C++ Linux*
Installation Guide and Release Notes 33
o Enabled Automatic Offload in P?GEMM routines for large distribution blocking
factors
Sparse BLAS:
o Optimized SpMV kernels for Intel AVX-512 instruction set
o Added release example for diagonal format use in Sparse BLAS
o Improved Sparse BLAS level 2 and 3 performance for systems supporting Intel
SSE4.2, Intel AVX and Intel AVX2 instruction sets
Intel MKL PARDISO:
o Added the ability to store Intel MKL PARDISO handle to the disk for future use at
any solver stage
o Added pivot control support for unsymmetric matrices and out-of-core mode
o Added diagonal extraction support for unsymmetric matrices and out-of-core
mode
o Added example demonstrating use of Intel MKL PARDISO as iterative solver for
non-linear systems
o Added capability to free memory taken by original matrix after factorization stage
if iterative refinement is disabled
o Improved memory estimation of out-of-core (OOC) portion size for reordering
algorithm leading to improved factorization-solve performance in OOC mode
o Improved message output from Intel MKL PARDISO
o Added support of zero pivot during factorization for structurally symmetric cases
Poisson library:
o Added example demonstrating use of the Intel MKL Poisson library as a
preconditioner for linear systems solves
Extended Eigensolver:
o Improved message output
o Improved examples
o Added input and output iparm parameters in predefined interfaces for solving
sparse problems
FFT:
o Optimized FFTs for the Intel AVX-512 instruction set
o Improved performance for non-power-of-2 length on Intel® MIC Architecture
VML: Added v[d|s]Frac function computing fractional part for each vector element
VSL RNG:
o Added support of ntrial=0 in Binomial Random Number Generator
o Improved performance of MRG32K3A and MT2203 BRNGs on Intel MIC
Architecture
o Improved performance of MT2203 BRNG on CPUs supporting Intel AVX and
Intel AVX2 instruction sets
VSL Summary Statistics:
o Added support for group/pooled mean estimates
(VSL_SS_GROUP_MEAN/VSL_SS_POOLED_MEAN)
Data Fitting: Fixed incorrect behavior of the natural cubic spline construction function
when number of breakpoints is 2 or 3