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Specifying and Executing Optimizations for Parallel Programs

Programming Languages · Submitted 30 Jul 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The syntax of PTRANS allows cleaner, more comprehensible specification of program optimizations; its executable semantics allows these specifications to act as prototypes for the optimizations themselves, so that candidate optimizations can be tested and refined before going on to include them in a compiler.

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arXiv ID1407.7932 (version 1)
Pith IDNXQSWYR6, Pith's permanent record of this paper and its review
CitationDennis Griffith (University of Illinois at Urbana-Champaign), Elsa L. Gunter (University of Illinois at Urbana-Champaign), William Mansky (University of Illinois at Urbana-Champaign). "Specifying and Executing Optimizations for Parallel Programs." arXiv:1407.7932 (2014). https://pith.science/paper/NXQSWYR6
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What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.13 · human participants 0.03 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.09 · mentions code or data availability 0.05.

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arXiv listing abstract v1. Results and the main claim are underlined; .

Compiler optimizations, usually expressed as rewrites on program graphs, are a core part of all modern compilers. However, even production compilers have bugs, and these bugs are difficult to detect and resolve. The problem only becomes more complex when compiling parallel programs; from the choice of graph representation to the possibility of race conditions, optimization designers have a range of factors to consider that do not appear when dealing with single-threaded programs. In this paper we present PTRANS, a domain-specific language for formal specification of compiler transformations, and describe its executable semantics. The fundamental approach of PTRANS is to describe program transformations as rewrites on control flow graphs with temporal logic side conditions. The syntax of PTRANS allows cleaner, more comprehensible specification of program optimizations; its executable semantics allows these specifications to act as prototypes for the optimizations themselves, so that candidate optimizations can be tested and refined before going on to include them in a compiler. We demonstrate the use of PTRANS to state, test, and refine the specification of a redundant store elimination optimization on parallel programs.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Compiler optimizations, usually expressed as rewrites on program graphs, are a core part of all modern compilers. background 1.00 0.04 0.02 asserted 1.00
s1 However, even production compilers have bugs, and these bugs are difficult to detect and resolve. background 0.98 0.07 0.02 asserted 1.00
s2 The problem only becomes more complex when compiling parallel programs; from the choice of graph representation to the possibility of race conditions, optimization designers have a range of factors to consider that do not appear when dealing with single-threaded programs. background 0.96 0.05 0.02 asserted 1.00
s3 In this paper we present PTRANS, a domain-specific language for formal specification of compiler transformations, and describe its executable semantics. contribution 1.00 0.93 0.21 asserted 1.00
s4 The fundamental approach of PTRANS is to describe program transformations as rewrites on control flow graphs with temporal logic side conditions. method 0.90 0.68 0.10 asserted 1.00
s5 The syntax of PTRANS allows cleaner, more comprehensible specification of program optimizations; its executable semantics allows these specifications to act as prototypes for the optimizations themselves, so that candidate optimizations can be tested and refined before going on to include them in a compiler. contribution 0.51 0.52 0.33 asserted 1.00
s6 We demonstrate the use of PTRANS to state, test, and refine the specification of a redundant store elimination optimization on parallel programs. contribution 0.86 0.96 0.29 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 0.47.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Compiler optimizations, usually expressed as rewrites on program graphs, are a core part of all modern compilers. However, even production compilers have bugs, and these bugs are difficult to detect and resolve. The problem only becomes more complex when compiling parallel programs; from the choice of graph representation to the possibility of race conditions, optimization designers have a range of factors to consider that do not appear when dealing with single-threaded programs. In this paper we present PTRANS, a domain-specific language for formal specification of compiler transformations, and describe its executable semantics. The fundamental approach of PTRANS is to describe program transformations as rewrites on control flow graphs with temporal logic side conditions. The syntax of PTRANS allows cleaner, more comprehensible specification of program optimizations; its executable semantics allows these specifications to act as prototypes for the optimizations themselves, so that candidate optimizations can be tested and refined before going on to include them in a compiler. We demonstrate the use of PTRANS to state, test, and refine the specification of a redundant store elimination optimization on parallel programs.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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  • All formalizations and proofs have been developed in the Isabelle theorem prover [ref] , allowing us to provide strong guarantees of correctness for our verified optimizations.

    cs.LO/9301106 · : A Language for Parallel Program Transformation · 0.99

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