Modernise Compiler Technology with Deep Learning

Today's computing systems adsorb a huge amount of the planet's resources. Data-centres consume 4% of global energy and are asked to perform increasingly computationally expensive tasks. Making the programs that run on them more efficient is of paramount importance. Compilers, which are solely responsible for optimising these programs, have changed little in the last several decades. Their middle ends are comprised of a large number of passes with hand-built heuristics each of which is complex and, in the aggregate, are too complex for any compiler engineer to successfully reason about.