research on language implementation techniques has regained importance with the rise of domain-specific languages (DSLs). Although DSLs can help manage a domain's complexity, building highly optimizing compilers o...
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research on language implementation techniques has regained importance with the rise of domain-specific languages (DSLs). Although DSLs can help manage a domain's complexity, building highly optimizing compilers or virtual machines is rarely affordable. So, performance remains an issue. Ideally, you would implement a simple interpreter and still be able to achieve acceptable performance. rpython and Truffle are implementation techniques based on simple interpreters; they promise to perform at the same order of magnitude as highly optimizing virtual machines. This case study compares the two techniques to identify their similarities, weaknesses, and areas for furtherresearch.
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