Sangam: A Confluence of Knowledge Streams

A LANGUAGE-BASED APPROACH TO PROGRAMMING WITH SERIALIZED DATA

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dc.contributor Newton, Ryan
dc.creator Vollmer, Michael
dc.date 2021-03-16T16:58:52Z
dc.date 2021-03-16T16:58:52Z
dc.date 2021-02
dc.date.accessioned 2023-02-24T18:26:30Z
dc.date.available 2023-02-24T18:26:30Z
dc.identifier http://hdl.handle.net/2022/26320
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/260282
dc.description Thesis (Ph.D.) - Indiana University, School of Informatics, Computing, and Engineering, 2021
dc.description In a typical data-processing application, the representation of data in memory is distinct from its representation in a serialized form on disk. The former has pointers and an arbitrary, sparse layout, facilitating easier manipulation by a program, while the latter is packed contiguously, facilitating easier I/O. I propose a programming language, LoCal, that unifies the in-memory and on-disk representations of data. LoCal extends prior work on region calculi into a location calculus, employing a type system that tracks the byte-addressed layout of all heap values. I present the formal semantics of LoCal and prove type safety, and show how to infer LoCal programs from unannotated source terms. Then, I demonstrate how to efficiently implement LoCal in a practical compiler that produces code competitive with hand-written C.
dc.language en
dc.publisher [Bloomington, Ind.] : Indiana University
dc.subject computer science
dc.subject programming languages
dc.subject compilers
dc.subject types
dc.title A LANGUAGE-BASED APPROACH TO PROGRAMMING WITH SERIALIZED DATA
dc.type Thesis


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