Automotive transient thermal modeling seminar draft 5
[Harvard CS264] 10a - Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA (Andreas Kloeckner, NYU)
OPENCL OVERVIEW. Copyright Khronos 2009 OpenCL Commercial Objectives Grow the market for parallel computing For vendors of systems, silicon, middleware,
![[Harvard CS264] 10a - Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA (Andreas Kloeckner, NYU)](https://static.fdocuments.in/doc/330x215/554f8da3b4c905d25b8b4ffe/harvard-cs264-10a-easy-effective-efficient-gpu-programming-in-python-with-pyopencl-and-pycuda-andreas-kloeckner-nyu.jpg)
