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Module Goal
===========
This module, Numerical Quadrature, is designed to be an introduction to parallel
computing for students in CS2, with C++ as the programming language,
who have taken or are taking Calculus II.
Upon completion of this module the student should:
#. understand a parallel computing paradigm based on intuitive ideas,
#. realize that parallel computing is available now on most computers in some form,
#. comprehend a simple parallel program written in CUDA,
#. measurably see the advantage offered by parallel computing, and
#. glimpse some of the challenges presented by parallel computing.
Numerical quadrature
====================
The background required for this module includes basic *c++* programming, and introductory integral
calculus including Riemann sums. The first section of this module quickly develops the mathematical ideas from an intuitive point of view. From this development a simple algorithm, expressed as a finite sum of trapezoids is given. In the second section, a simple sequential *c++* implementation is presented and analyzed. In the third section, a parallel implementation, is developed using CUDA.
Two *c++* programming examples are presented in this module, and can be
downloaded from `here`. The first is
a (sequential) *c++* program that should compile and run using any *c++* compiler.
The second is a *c++* based CUDA program.
For information on all *CUDA* related software, please visit the `NVIDIA CUDA site `_.
Module contents
===============
.. toctree::
:maxdepth: 2
numQuad
seqAlg
cudaAlg
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`