Learning C to x86 Translation: An Experiment in Neural Compilation

Understand

Deep learning has had a significant impact on many fields.

• Recently, code-to-code neural models have been used in code translation, code refinement and decompilation.
• However, the question of whether these models can automate compilation has yet to be investigated.
• In this work, we explore neural compilation, building and evaluating Transformer models that learn how to produce x86 assembler from C code.