Achieving the Best QoE: Performance Libraries Accelerate Code Execution (1)

The increasing consumerization of IT means
that even staid business applications like accounting need to have the
performance and ease of use of popular consumer apps. For many organizations,
performance has taken a back burner to functionality. Fortunately, developers now
have access to a powerful group of libraries that can instantly increase
application performance – with little or no rewriting of older code. You can
download them and start benefitting from this acceleration today.

Here’s a quick rundown of these
Intel-provided libraries and how to get them. They’re offered at no cost as
part of Intel’s mission to support innovation and impressive performance on
Intel® architecture.

Intel® Math Kernel
(Intel® MKL) This popular library
offers optimized, threaded, and vectorized functions to maximize performance on
each processor family. It works with your choice of compilers, languages,
operating systems, and linking and threading models to speed applications and
cut development time. You’ll find algebra, FFTs, vector statistics & data
fitting, vector math, and other miscellaneous solvers and since it uses industry-standard
C and Fortran APIs for compatibility with popular BLAS, LAPACK, and FFTW
functions, no code changes are required.

Intel® Integrated
Performance Primitives
(Intel® IPP) If
you’re working with images, signals, or cryptography this library is a must,
speeding performance for imaging, vision, signal, security, and storage
applications on multiple OSs and platforms. Intel® IPP is a one-stop shop for ready-to-user,
royalty-free APIs that work in multicore, multiple OS, and multiplatform
environments where computation speed and optimization can make the difference
between project success and failure. Optimized using Intel® Streaming SIMD
Extensions, Intel® Advanced Vector Extensions 2, and Intel® Advanced Vector
Extensions 512, use IPP to have your applications perform faster than optimized
compilers alone.

Threading Building Blocks
(Intel® TBB) Want
to get the most out of every core and processor? This widely-used C++ library is
designed for shared-memory parallel programming and heterogeneous computing,
offering advanced threading for fast, scalable parallel applications. TBB
simplifies code by letting you specify logical parallelism instead of threads,
by targeting threading for performance, and it’s compatible with other
threading packages so you can leave your legacy code alone while using TBB for
new implementations.

Intel® Data
Analytics Acceleration Library
DAAL) Big data, machine learning, and data science all have one thing in
common: a need for reliable, fast analytics whether for business or scientific
coding. This easy-to-use performance library features highly tuned functions
for analytics performance across the spectrum of Intel® architecture devices.
It helps apps deliver better predictions, faster. DAAL lets you analyze larger
data sets with the same compute resources and optimizes data ingestion and
algorithmic compute together for the highest performance achievable during all
stages of the data analytics pipeline: preprocessing, transformation, analysis,
modeling, validation, and decision-making.

Intel® MPI Library If you have applications running on Intel® architecture-based
clusters, this library will improve performance by delivering flexible,
efficient, and scalable cluster messaging. It is a multi-fabric message-passing
library that implements the open-source MPICH spec. Use it to create, maintain,
and test advanced, complex applications that perform better on HPC clusters
based on Intel® processors. The MPI library delivers maximum end-user
performance without having to change the software or operating environment by
achieving the best latency, bandwidth, and scalability through automatic tuning
for the latest Intel® platforms.

All of these libraries are available as
part of the Intel®
Parallel Studio XE
and Intel® System Studio tool suites,
and they’re all free to use.


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