Intel MKL Training

Optimize Financial Applications using Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications. Intel MKL uses Industry Standard interfaces and can be easily integrated into your current application framework. The Webinar provides an overview of Intel MKL to accelerate financial applications. Topics include:

  • Developers
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Beginner
  • Intermediate
  • Intel® C++ Compiler
  • Intel® C++ Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Math Kernel Library
  • Learning Lab
  • FSI
  • Financial Services
  • Intel MKL Training
  • performance optimization
  • Development Tools
  • Financial Services Industry
  • Optimization
  • Parallel Computing
  • Intel® Math Kernel Library (Intel® MKL) on Intel® Many Integrated Core Architecture (Intel® MIC Architecture)

    Starting with Intel® MKL 11.0, support for Intel® Many Integrated Core Architecture (Intel® MIC Architecture) - the Intel® Xeon Phi™ coprocessor has been available. Intel® MKL provides specifically optimized functions for users to take advantages of this new architecture. This page is a collection of online resources on using Intel® MKL on the Intel® Xeon Phi™ coprocessors.

  • Developers
  • Professors
  • Students
  • Linux*
  • Server
  • C/C++
  • Fortran
  • Advanced
  • Beginner
  • Intermediate
  • Intel® Math Kernel Library
  • MKL MIC
  • MKL Xeon Phi
  • MKL support for Xeon Phi
  • MKL on MIC
  • MKL and Xeon Phi
  • Intel® Xeon Phi
  • MIC
  • Learning Lab
  • Intel MKL Training
  • mkl 11.0
  • MIC architecture
  • Native and Offload Programming Models for Intel(R) MIC
  • Development Tools
  • Enterprise
  • Financial Services Industry
  • Intel® Many Integrated Core Architecture
  • Optimization
  • Parallel Computing
  • Subscribe to Intel MKL Training