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检索条件"任意字段=Proceedings of the ACM Sigplan 2003 Conference on Programming Language Design and Implementation"

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Demand-driven pointer analysis 01

Demand-driven pointer analysis

引用

acm sigplan conference on programming language design and implementation (PLDI)

作者： Heintze, N Tardieu, O Ecole Mines Paris France

ISBN: (纸本)9781581134148

Known algorithms for pointer analysis are "global" in the sense that-they perform an exhaustive analysis of a program or program component. In this paper we introduce a demand-driven approach for pointer analysis. Specifically, we describe a demand-driven flow-insensitive, subset-based, context-insensitive points-to analysis. Given a list of pointer variables (a query), our analysis performs just enough computation to determine the points-to sets for these query variables. Using deductive reachability formulations of both the exhaustive and the demand-driven analyses, we prove that our algorithm is correct. We also show that our analysis is optimal in the sense that it does not do more work than necessary. We illustrate the feasibility and efficiency of our analysis with an implementation of demand-driven points-to analysis for computing the call-graphs of C programs with function pointers. The performance of our system varies substantially across benchmarks - the main factor is how much of the points-to graph must be computed to determine the call-graph. For some benchmarks, only a small part of the points-to graph is needed (e.g povray, emacs and gee), and here we see more than a 10x speedup. For other benchmarks (e.g. burlap and gimp), we need to compute most (> 95%) of the points-to graph, and here the demand-driven algorithm is considerably slower, because using the demand-driven algorithm is a slow method of computing the full points-to graph.

关键词： Computer programming languages

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Extensible language implementation with Object Algebras (Short Paper) 2014

Extensible Language Implementation with Object Algebras (Sho...

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13th conference on Generative programming - Concepts and Experiences (GPCE)

作者： Gouseti, Maria Peters, Chiel van der Storm, Tijs CWI NL-1009 AB Amsterdam Netherlands

ISBN: (纸本)9781450331616

Object Algebras are a recently introduced design pattern to make the implementation of recursive data types more extensible. In this short paper we report our experience in using Object Algebras in building a realistic domain- specific language (DSL) for questionnaires, called QL. This experience has led to a simple, yet powerful set of tools for the practical and flexible implementation of highly extensible languages.

关键词： Object Algebras extensibility interpreter design languages

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EventScript: An Event-Processing language Based on Regular Expressions with Actions 08

EventScript: An Event-Processing Language Based on Regular E...

引用

conference on languages, Compilers and Tools for Embedded Systems

作者： Cohen, Norman H. Kalleberg, Karl Trygve IBM Thomas J Watson Res Ctr Hawthorne NY USA

ISBN: (纸本)9781605581040

EventScript is a simple but powerful language for programming reactive processes. A stream of incoming events is matched against a regular expression. Actions embedded within the regular expression are executed in response to the matching of patterns of events. These actions include assigning computed values to variables and emitting output events. The definition of EventScript presented a number of novel and interesting language-design choices. EventScript has an efficient implementation, and has been used in a development environment for complex event-based applications. We have used EventScript to program both small examples and large industrial applications. Readers of EventScript programs find them easy to understand, and are comfortable with the familiar model of matching regular expressions.

关键词： event processing regular expressions reactive programs sensors actuators

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Formal loop merging for signal transforms

Formal loop merging for signal transforms

引用

conference on programming language design and implementation

作者： Franchetti, F Voronenko, Y Püschel, M Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA

A critical optimization in the domain of linear signal transforms, such as the discrete Fourier transform (DFT), is loop merging, which increases data locality and reuse and thus performance. In particular, this includes the conversion of shuffle operations into array reindexings. To date, loop merging is well understood only for the DFT, and only for Cooley-Tukey FFT based algorithms, which excludes DFT sizes divisible by large primes. In this paper, we present a formal loop merging framework for general signal transforms and its implementation within the SPIRAL code generator. The framework consists of Sigma-SPL, a mathematical language to express loops and index mappings;a rewriting system to merge loops in E-SPL;and a compiler that translates Sigma-SPL into code. We apply the framework to DFT sizes that cannot be handled using only the Cooley-Tukey FFT and compare our method to FFTW 3.0.1 and the vendor library Intel MKL 7.2.1. Compared to FFTW our generated code is a factor of 2-4 faster under equal implementation conditions (same algorithms, same unrolling threshold). For some sizes we show a speed-up of a factor of 9 using Bluestein's algorithm. Further, we give a detailed comparison against the Intel vendor library MKL;our generated code is between 2 times faster and 4.5 times slower.

关键词： linear signal transform discrete Fourier transform DFT loop optimization domain-specific language automatic performance tuning

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A practical automatic polyhedral parallelizer and locality optimizer 08

A practical automatic polyhedral parallelizer and locality o...

引用

acm sigplan conference on programming language design and implementation

作者： Bondhugula, Uday Hartono, Albert Ramanujam, J. Sadayappan, P. Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA Louisiana State Univ Dept Elect & Comp Engn Baton Rouge LA 70803 USA Louisiana State Univ CCT Baton Rouge LA 70803 USA

ISBN: (纸本)9781595938602

We present the design and implementation of an automatic polyhedral source-to-source transformation framework that can optimize regular programs ( sequences of possibly imperfectly nested loops) for parallelism and locality simultaneously. Through this work, we show the practicality of analytical model-driven automatic transformation in the polyhedral model-far beyond what is possible by current production compilers. Unlike previous works, our approach is an end-to-end fully automatic one driven by an integer linear optimization framework that takes an explicit view of finding good ways of tiling for parallelism and locality using affine transformations. The framework has been implemented into a tool to automatically generate OpenMP parallel code from C program sections. Experimental results from the tool show very high speedups for local and parallel execution on multi-cores over state-of-the-art compiler frameworks from the research community as well as the best native production compilers. The system also enables the easy use of powerful empirical/iterative optimization for general arbitrarily nested loop sequences.

关键词： algorithms design experimentation performance automatic parallelization locality optimization polyhedral model loop transformations affine transformations tiling

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Sound Probabilistic Inference via Guide Types 2021

Sound Probabilistic Inference via Guide Types

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42nd acm sigplan International conference on programming language design and implementation (PLDI)

作者： Wang, Di Hoffmann, Jan Reps, Thomas Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Wisconsin Madison WI 53706 USA

ISBN: (纸本)9781450383912

Probabilistic programming languages aim to describe and automate Bayesian modeling and inference. Modern languages support programmable inference, which allows users to customize inference algorithms by incorporating guide programs to improve inference performance. For Bayesian inference to be sound, guide programs must be compatible with model programs. One pervasive but challenging condition for model-guide compatibility is absolute continuity, which requires that the model and guide programs define probability distributions with the same support. This paper presents a new probabilistic programming language that guarantees absolute continuity, and features general programming constructs, such as branching and recursion. Model and guide programs are implemented as coroutines that communicate with each other to synchronize the set of random variables they sample during their execution. Novel guide types describe and enforce communication protocols between coroutines. If the model and guide are well-typed using the same protocol, then they are guaranteed to enjoy absolute continuity. An efficient algorithm infers guide types from code so that users do not have to specify the types. The new programming language is evaluated with an implementation that includes the type-inference algorithm and a prototype compiler that targets Pyro. Experiments show that our language is capable of expressing a variety of probabilistic models with nontrivial control flow and recursion, and that the coroutine-based computation does not introduce significant overhead in actual Bayesian inference.

关键词： Probabilistic programming Bayesian inference type systems coroutines

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It's alive! Continuous feedback in UI programming

It's alive! Continuous feedback in UI programming

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34th acm sigplan conference on programming language design and implementation, PLDI 2013

作者： Burckhardt, Sebastian De Halleux, Peli Moskal, Michal Fähndrich, Manuel McDirmid, Sean Tillmann, Nikolai Kato, Jun Microsoft Research United States University of Tokyo Japan

ISBN: (纸本)9781450320146

Live programming allows programmers to edit the code of a running program and immediately see the effect of the code changes. This tightening of the traditional edit-compile-run cycle reduces the cognitive gap between program code and execution, improving the learning experience of beginning programmers while boosting the productivity of seasoned ones. Unfortunately, live programming is difficult to realize in practice as imperative languages lack well-defined abstraction boundaries that make live programming responsive or its feedback comprehensible. This paper enables live programming for user interface programming by cleanly separating the rendering and non-rendering aspects of a UI program, allowing the display to be refreshed on a code change without restarting the program. A type and effect system formalizes this separation and provides an evaluation model that incorporates the code update step. By putting live programming on a more formal footing, we hope to enable critical and technical discussion of live programming systems. Copyright © 2013 acm.

关键词： Graphical user interfaces

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Sketching stencils 07

Sketching stencils

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conference on programming language design and implementation

作者： Solar-Lezama, Armando Arnold, Gilad Tancau, Liviu Bodik, Rastislav Saraswat, Vijay Seshia, Sanjit IBM Corp TJ Watson Res Ctr Armonk NY 10504 USA Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9781595936332

Performance of stencil computations can be significantly improved through smart implementations that improve memory locality, computation reuse, or parallelize the computation. Unfortunately, efficient implementations are hard to obtain because they often involve non-traditional transformations, which means that they cannot be produced by optimizing the reference stencil with a compiler. In fact, many stencils are produced by code generators that were tediously handcrafted. In this paper, we show how stencil implementations can be produced with sketching. Sketching is a software synthesis approach where the programmer develops a partial implementation a sketch-and a separate specification of the desired functionality given by a reference (unoptimized) stencil. The synthesizer then completes the sketch to behave like the specification, filling in code fragments that are difficult to develop manually. Existing sketching systems work only for small finite programs, i.e., programs that can be represented as small Boolean circuits. In this paper, we develop a sketching synthesizer that works for stencil computations, a large class of programs that, unlike circuits, have unbounded inputs and outputs, as well as an unbounded number of computations. The key contribution is a reduction algorithm that turns a stencil into a circuit, allowing us to synthesize stencils using an existing sketching synthesizer.

关键词： languages design performance sketching stencil SAT

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Genie: A Generator of Natural language Semantic Parsers for Virtual Assistant Commands 2019

Genie: A Generator of Natural Language Semantic Parsers for ...

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40th acm sigplan conference on programming language design and implementation (PLDI) part of acm's Federated Computing Research conference (FCRC)

作者： Campagna, Giovanni Xu, Silei Moradshahi, Mehrad Socher, Richard Lam, Monica S. Stanford Univ Dept Comp Sci Stanford CA 94305 USA Salesforce Inc Palo Alto CA USA

ISBN: (纸本)9781450367127

To understand diverse natural language commands, virtual assistants today are trained with numerous labor-intensive, manually annotated sentences. This paper presents a methodology and the Genie toolkit that can handle new compound commands with significantly less manual effort. We advocate formalizing the capability of virtual assistants with a Virtual Assistant programming language (VAPL) and using a neural semantic parser to translate natural language into VAPL code. Genie needs only a small realistic set of input sentences for validating the neural model. Developers write templates to synthesize data;Genie uses crowdsourced paraphrases and data augmentation, along with the synthesized data, to train a semantic parser. We also propose design principles that make VAPL languages amenable to natural language translation. We apply these principles to revise ThingTalk, the language used by the Almond virtual assistant. We use Genie to build the first semantic parser that can support compound virtual assistants commands with unquoted free-form parameters. Genie achieves a 62% accuracy on realistic user inputs. We demonstrate Genie's generality by showing a 19% and 31% improvement over the previous state of the art on a music skill, aggregate functions, and access control.

关键词： virtual assistants semantic parsing training data generation data augmentation data engineering

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language Transformations in the Classroom 28

Language Transformations in the Classroom

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43rd acm sigplan International conference on programming language design and implementation (PLDI)

作者： Cimini, Matteo Mourad, Benjamin Univ Massachusetts Lowell Lowell MA 01854 USA

language transformations are algorithms that take a language specification in input, and return the language specification modified. language transformations are useful for automatically adding features such as subtyping to programming languages (PLs), and for automatically deriving abstract machines. In this paper, we set forth the thesis that teaching programming languages features with the help of language transformations, in addition to the planned material, can be beneficial for students to help them deepen their understanding of the features being taught. We have conducted a study on integrating language transformations into an undergraduate PL course. We describe our study, the material that we have taught, and the exam submitted to students, and we present the results from this study. Although we refrain from drawing general conclusions on the effectiveness of language transformations, this paper offers encouraging data. We also offer this paper to inspire similar studies.

关键词： Students

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