QiMeng is a proposed three-layer architecture for automating processor hardware and software design, with several published components but no integrated implementation yet.
Learning C to x86 Translation: An Experiment in Neural Compilation
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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. Although preliminary results are relatively weak, we make our data, models and code publicly available to encourage further research in this area.
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QiMeng: Fully Automated Hardware and Software Design for Processor Chip
QiMeng is a proposed three-layer architecture for automating processor hardware and software design, with several published components but no integrated implementation yet.