{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/151281"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/151281","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Inductive and Deductive Synthesis for Database Applications","abstract":"Program synthesis is a promising method for building efficient, flexible software by deriving low-level implementations from high-level specifications. In this thesis, I use programming-languages techniques to develop systems for synthesizing high-performance, specialized software and to build better general-purpose program-synthesis algorithms. I describe two new synthesis systems. First, I present a full-featured, synthesis-based pipeline for generating database implementations that are specialized to query workloads. This project shows that synthesis is a promising approach for building systems software, but building efficient synthesizers is still difficult, and in general a new synthesizer must be built for every new language. To address this need, I present a new, general-purpose inductive synthesizer, and show that it offers state-of-the-art performance on several challenging tasks.","abstract_html":"Program synthesis is a promising method for building efficient, flexible software by deriving low-level implementations from high-level specifications. In this thesis, I use programming-languages techniques to develop systems for synthesizing high-performance, specialized software and to build better general-purpose program-synthesis algorithms. I describe two new synthesis systems. First, I present a full-featured, synthesis-based pipeline for generating database implementations that are specialized to query workloads. This project shows that synthesis is a promising approach for building systems software, but building efficient synthesizers is still difficult, and in general a new synthesizer must be built for every new language. To address this need, I present a new, general-purpose inductive synthesizer, and show that it offers state-of-the-art performance on several challenging tasks.","abstract_has_math":false,"creators":["Feser, John Killian"],"institution":"Massachusetts Institute of Technology","degree_name":"Doctoral","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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