Better performance for GeomLab
At present, GeomLab programs show a performance that competes favourably with Python, making it possible to address tasks like computing images of the Mandelbrot set using a purely functional program that calls a function once for each pixel. But there is still a gap between the performance of GeomLab programs and similar ones written in Java or C, and more ambitious image-processing tasks would be made possible by better performance, particularly in the area of arithmetic. Explore ways of improving performance, perhaps including the possibility of improving the performance of GeomLab by allowing numbers to be passed around without wrapping them in heap-allocated objects, or the possibility of compiling the code for Haskell-style pattern matching in a better way.
Please see http://spivey.oriel.ox.ac.uk/corner/Undergraduate_and_M.Sc._projects for further details.
N.B. This project is not available to MSc students in 2016-17.
Undergraduate students who wish to enquire about a project for 2017-18 are welcome to contact Prof Spivey but should
note that the response may be delayed as he is on sabbatical.