Program Compression

The talk focused on a grammar-based technique for identifying redundancy in program code and taking advantage of that redundancy to reduce the memory required to store and execute the program. The idea is to start with a simple context-free grammar that represents all valid basic blocks of any program. We represent a program by the parse trees (i.e. derivations) of its basic blocks using the grammar. We then modify the grammar, by considering sample programs, so that idioms of the language have shorter derivations in the modified grammar. Since each derivation represents a basic block, we can interpret the resulting set of derivations much as we would interpret the original program. We need only expand the grammar rules indicated by the derivation to produce a sequence of original program instructions to execute. The result is a program representation that is approximately 40% of the original program size and is interpretable by a very modest-sized interpreter

Compression via Guided Parsing

This paper examines the compression of source code, the original high-level language representation of a program. We discuss the results (both advantages and disadvantages) of this choice in more detail in later sections, but two intuitive reasons for supposing compressed source code results in the smallest program representation are worth mentioning at this point