Calculate Pi with Monte Carlo and MKL
The Math Kernel library provides a great way for calculating huge arrays of random numbers. Creating a Monte Carlo simulation is then easy once you have these random numbers. Jeff Cogswell shows how you can use both MKL and a Monte Carlo algorithm to estimate pi, thus learning the mechanics of MKL and Monte Carlo. Take a look and let us know what you think in the comments section on our story page.
Read More>>
The Math Kernel library provides a great way for calculating huge arrays of random numbers. Creating a Monte Carlo simulation is then easy once you have these random numbers. Jeff Cogswell shows how you can use both MKL and a Monte Carlo algorithm to estimate pi, thus learning the mechanics of MKL and Monte Carlo. Take a look and let us know what you think in the comments section on our story page.
Read More>>
Unleashing Powerful Monte Carlo Parallel Methods
Calculate Pi with Custom C++ Class
How MKL Makes Multicore and Vectorized Math Easier
Calculate Pi with Custom C++ Class
How MKL Makes Multicore and Vectorized Math Easier
Free Trial: Intel Parallel Studio XE 2015
Deliver top application performance and reliability with Intel Parallel Studio XE 2015. These C ++ and Fortran tool suites simplify the development, debugging, and tuning of code. Try it out for free.
Learn More>>
Deliver top application performance and reliability with Intel Parallel Studio XE 2015. These C ++ and Fortran tool suites simplify the development, debugging, and tuning of code. Try it out for free.
Learn More>>
