C++Now 2014

OpenCL, CUDA, C++ AMP, OpenACC, RenderScript, Thrust, Bolst, Vexcl, Boost.Compute, ViennaCL, MTL4, NT2, Arrayfire — the list of tools, environments, frameworks and libraries for accelerator programming is long. This talk will give an overview of a number of these tools and map them to different cases of accelerator use. How do they compare in terms of developer productivity, generality, and performance?

With all these tools at our disposal, the problem of accelerator programming is far from solved. There must be a better way to describe data parallelism and concurrency in C++. Maybe the functional programming community can come to our rescue? Or, as Bret Victor put it so appropriately, we must simply "forget everything we think we know about computers. Forget that we think we know what a computer is" to find a good solution. Comments from the audience are welcome for this second part of the talk.