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From a calculus to an execution environment for stream processing
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In: http://hirzels.com/martin/papers/debs12-river.pdf (2012)
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| 2 |
Parsing and translation of expressions by genetic programming
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In: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1681.pdf (2005)
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| 3 |
The Measured Network Traffic of Compiler-Parallelized Programs
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In: DTIC AND NTIS (1998)
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| 4 |
General Incremental Lexical Analysis
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In: http://www.cs.berkeley.edu/~harmonia/publications/./papers/twagner-lexing.ps.gz (1997)
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| 5 |
A reflection on call-by-value
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In: http://homepages.inf.ed.ac.uk/wadler/papers/reflection-journal/reflection-journal.pdf (1996)
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| 6 |
Compiling Nested Data-Parallel Programs for Shared-Memory Multiprocessors
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In: ftp://ftp.cs.unc.edu/pub/users/sc/papers/toplas-vcode.pdf (1993)
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Abstract:
While data parallelism is well-suited from algorithmic, architectural, and linguistic considerations to serve as a basis for portable parallel programming, its characteristic fine-grained parallelism makes the efficient implementation of data-parallel languages on MIMD machines a challenging task. The design, implementation, and evaluation of an optimizing compiler are presented for an applicative nested data-parallel language called VCODE targeted at the Encore Multimax, a shared-memory multiprocessor. The source language supports nested aggregate data types; aggregate operations including elementwise forms, scans, reductions, and permutations; and conditionals and recursion for control flow. A small set of graph-theoretic compile-time optimizations reduce the overheads on MIMDmachines in several ways: by increasing the grain size of the output program, by reducing synchronization and storage requirements, and by improving locality of reference. The two key ideas behind these.
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Keyword:
Algorithms; APL; Applicative (Functional) Programming; Categories and Subject Descriptors; compilers; D.1.1 [Programming Techniques; D.3.2 [Programming Languages; D.3.3 [Programming Languages; D.3.4 [Programming Languages; data parallelism; E.1 [Data Structures] —vectors General Terms; Language Classifications — C; Language Constructs — control structures; Languages Additional Key Words and Phrases; Lisp; Processors — optimization; shared-memory multiprocessors
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.4776
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| 7 |
A practical method for LR and LL syntactic error diagnosis and recovery
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In: http://www.cs.berkeley.edu/~jcondit/pl-prelim/burke87practical.pdf (1987)
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| 8 |
Multi-Path Control Structures for Programming Languages
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In: DTIC AND NTIS (1972)
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| 9 |
SPRINT - A Programming Language with General Structure.
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In: DTIC AND NTIS (1970)
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| 10 |
A Model Of CPS Translation And Interpretation
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In: http://www.itculiacan.edu.mx/Pagina WEB Dr. RZC/Ramon/PDFs/A Model of CPS Trans & Interp.pdf
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| 11 |
Typed memory management via static capabilities
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In: http://www.cs.cmu.edu/~crary/papers/2000/regions/capabilities.pdf
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| 12 |
Unified Compilation of Fortran 77D and 90D ALOK CHOUDHARY ~ GEOFFREY FOX, * SEEMA HIRANANDANl,t
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In: http://www.ece.northwestern.edu/~choudhar/publications/pdf/ChoFox93A.pdf
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| 13 |
Meta-tracing makes a fast Racket
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In: http://www.ccs.neu.edu/home/samth/pycket-dyla.pdf
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| 14 |
(ASPLOS ’08) Xoc, an Extension-Oriented Compiler for Systems Programming Abstract
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In: http://swtch.com/~rsc/papers/xoc-asplos2008.pdf
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| 15 |
Scalaness/nesT: Type Specialized Staged Programming for Sensor Networks
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In: http://web.vtc.edu/users/pcc09070/papers/chapin-skalka-smith-watson-GPCE2013.pdf
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| 16 |
Matching-Based Incremental Evaluators for Hierarchical Attribute Grammar Dialects
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| 17 |
Exchanging Sources Between Clean and Haskell A Double-Edged Front End for the Clean Compiler
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In: http://www.st.cs.ru.nl/papers/2010/groj10-Haskell_front_end_Clean.pdf
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