Vidéos et Webinars  MATLAB for CUDA Programmers  In this
webinar, you’ll see how MATLAB supports CUDA kernel development
by providing a high level language and development environment
for prototyping algorithms and incrementally developing and
testing CUDA kernels.  Product demonstrations will highlight how
MATLAB can be used to:    • Write prototype code to explore
algorithms before implementing them in CUDA   • Quickly evaluate
kernels for different input data   • Analyze and visualize
kernel results   • Write test harnesses to validate that kernels
are working correctly  You will see how MATLAB reduces the
amount of code required for evaluating and testing kernels
compared with lower level languages such as C or Fortran.  You
will also see how the GPU-enabled functionality in MATLAB lets
you take advantage of GPU computing without having to write CUDA
kernels or learn low-level GPU computing libraries.  Previous
knowledge of MATLAB is not required for this webinar.  About the
Presenters:  Dan Doherty, Math