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检索条件"任意字段=Proceedings of the 27th ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 268 条记录，以下是81-90 订阅

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A Domain-Specific language for Exploratory Data Visualization 2018

A Domain-Specific Language for Exploratory Data Visualizatio...

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17th acm sigplan International conference on Generative programming - Concepts and Experiences (GPCE) part of the SPLASH Collection of conferences and Workshops

作者： Smeltzer, Karl Erwig, Martin Oregon State Univ Corvallis OR 97331 USA

ISBN: (纸本)9781450360456

With an ever-growing amount of collected data, the importance of visualization as an analysis component is growing in concert. the creation of good visualizations often doesn't happen in one step but is rather an iterative and exploratory process. However, this process is currently not well supported in most of the available visualization tools and systems. Visualization authors are forced to commit prematurely to particular design aspects of their creations, and when exploring potential variant visualizations, they are forced to adopt ad hoc techniques such as copying code snippets or keeping a collection of separate files. We propose variational visualizations as a model supporting open-ended exploration of the design space of information visualization. Together with that model, we present a prototype implementation in the form of a domain-specific language embedded in Purescript.

关键词： Data Visualization Exploratory programming

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Scalable Verification of Probabilistic Networks 2019

Scalable Verification of Probabilistic Networks

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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： Smolka, Steffen Kumar, Praveen Kahn, David M. Foster, Nate Hsu, Justin Kozen, Dexter Silva, Alexandra Cornell Univ Ithaca NY 14850 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Wisconsin Madison WI USA UCL London England

ISBN: (纸本)9781450367127

this paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKAT is based on a new semantics for the guarded and history-free fragment of Probabilistic NetKAT in terms of finite-state, absorbing Markov chains. this view allows the semantics of all programs to be computed exactly, enabling construction of an automatic verification tool. Domain-specific optimizations and a parallelizing backend enable McNetKAT to analyze networks with thousands of nodes, automatically reasoning about general properties such as probabilistic program equivalence and refinement, as well as networking properties such as resilience to failures. We evaluate McNetKAT's scalability using real-world topologies, compare its performance against state-of-the-art tools, and develop an extended case study on a recently proposed data center network design.

关键词： Network verification Probabilistic programming

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Fast Algorithms for Dyck-CFL-Reachability with Applications to Alias Analysis

Fast Algorithms for Dyck-CFL-Reachability with Applications ...

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34th acm sigplan conference on programming language design and implementation (PLDI)

作者： Zhang, Qirun Lyu, Michael R. Yuan, Hao Su, Zhendong Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China Univ Calif Davis Davis CA 95616 USA City Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781450320146

the context-free language (CFL) reachability problem is a well-known fundamental formulation in program analysis. In practice, many program analyses, especially pointer analyses, adopt a restricted version of CFL-reachability, Dyck-CFL-reachability, and compute on edge-labeled bidirected graphs. Solving the all-pairs Dyck-CFL-reachability on such bidirected graphs is expensive. For a bidirected graph with n nodes and m edges, the traditional dynamic programming style algorithm exhibits a subcubic time complexity for the Dyck language with k kinds of parentheses. When the underlying graphs are restricted to bidirected trees, an algorithm with O(n log n log k) time complexity was proposed recently. this paper studies the Dyck-CFL-reachability problems on bidirected trees and graphs. In particular, it presents two fast algorithms with O(n) and O(n+m log m) time complexities on trees and graphs respectively. We have implemented and evaluated our algorithms on a state-of-the-art alias analysis for Java. Results on standard benchmarks show that our algorithms achieve orders of magnitude speedup and consume less memory.

关键词： Algorithms design Experimentation languages Dyck-CFL-reachability alias analysis

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Higher-Order and Tuple-Based Massively-Parallel Prefix Sums 16

Higher-Order and Tuple-Based Massively-Parallel Prefix Sums

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37th acm sigplan conference on programming language design and implementation

作者： Maleki, Sepideh Yang, Annie Burtscher, Martin Texas State Univ Dept Comp Sci San Marcos TX 78666 USA

ISBN: (纸本)9781450342612

Prefix sums are an important parallel primitive, especially in massively-parallel programs. this paper discusses two orthogonal generalizations thereof, which we call higher-order and tuple-based prefix sums. Moreover, it describes and evaluates SAM, a GPU-friendly algorithm for computing prefix sums and other scans that directly supports higher orders and tuple values. Its templated CUDA implementation unifies all of these computations in a single 100-statement kernel. SAM is communication-efficient in the sense that it minimizes main-memory accesses. When computing prefix sums of a million or more values, it outperforms thrust and CUDPP on both a Titan X and a K40 GPU. On the Titan X, SAM reaches memory-copy speeds for large input sizes, which cannot be surpassed. SAM outperforms CUB, the currently fastest conventional prefix sum implementation, by up to a factor of 2.9 on eighth-order prefix sums and by up to a factor of 2.6 on eight-tuple prefix sums.

关键词： Algorithms Performance design Higher-order prefix sums tuple-based prefix sums carry propagation GPU programming

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Static Analysis for Probabilistic Programs: Inferring Whole Program Properties from Finitely Many Paths

Static Analysis for Probabilistic Programs: Inferring Whole ...

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34th acm sigplan conference on programming language design and implementation (PLDI)

作者： Sankaranarayanan, Sriram Chakarov, Aleksandar Gulwani, Sumit Univ Colorado Boulder CO 80309 USA Microsoft Res Redmond WA USA

ISBN: (纸本)9781450320146

We propose an approach for the static analysis of probabilistic programs that sense, manipulate, and control based on uncertain data. Examples include programs used in risk analysis, medical decision making and cyber-physical systems. Correctness properties of such programs take the form of queries that seek the probabilities of assertions over program variables. We present a static analysis approach that provides guaranteed interval bounds on the values (assertion probabilities) of such queries. First, we observe that for probabilistic programs, it is possible to conclude facts about the behavior of the entire program by choosing a finite, adequate set of its paths. We provide strategies for choosing such a set of paths and verifying its adequacy. the queries are evaluated over each path by a combination of symbolic execution and probabilistic volume-bound computations. Each path yields interval bounds that can be summed up with a "coverage" bound to yield an interval that encloses the probability of assertion for the program as a whole. We demonstrate promising results on a suite of benchmarks from many different sources including robotic manipulators and medical decision making programs.

关键词： Probabilistic programming Program Verification Volume Bounding Symbolic Execution Monte-Carlo Sampling

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Developing a Monadic Type Checker for an Object-Oriented language: An Experience Report 12

Developing a Monadic Type Checker for an Object-Oriented Lan...

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12th acm sigplan International conference on Software language Engineering (SLE)

作者： Castegren, Elias Fernandez-Reyes, Kiko KTH Royal Inst Technol Software & Comp Syst Stockholm Sweden Uppsala Univ Informat Technol Uppsala Sweden

ISBN: (纸本)9781450369817

Functional programming languages are well-suited for developing compilers, and compilers for functional languages are often themselves written in a functional language. Functional abstractions, such as monads, allow abstracting away some of the repetitive structure of a compiler, removing boilerplate code and making extensions simpler. Even so, functional languages are rarely used to implement compilers for languages of other paradigms. this paper reports on the experience of a four-year long project where we developed a compiler for a concurrent, object-oriented language using the functional language Haskell. the focus of the paper is the implementation of the type checker, but the design works well in static analysis tools, such as tracking uniqueness of variables to ensure data-race freedom. the paper starts from a simple type checker to which we add more complex features, such as type state, with minimal changes to the overall initial design.

关键词： functional programming object-oriented languages type systems compilers

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Extensible algebraic datatypes with defaults 01

Extensible algebraic datatypes with defaults

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6th International conference on Functional programming (ICFP 2001)

作者： Zenger, M Odersky, M Swiss Fed Inst Technol INR Ecublens CH-1015 Lausanne Switzerland

ISBN: (纸本)9781581134155

A major problem for writing extensible software arises when recursively defined datatypes and operations on these types have to be extended simultaneously without modifying existing code. this paper introduces Extensible Algebraic Datatypes with Defaults which promote a simple programming pattern to solve this well known problem. We show that it is possible to encode extensible algebraic datatypes in an object-oriented language, using a new design pattern for extensible visitors. Extensible algebraic datatypes have been successfully applied in the implementation of an extensible Java compiler. Our technique allows for the reuse of existing components in compiler extensions without the need for any adaptations.

关键词： Object oriented programming

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VeriML: Typed Computation of Logical Terms inside a language with Effects 10

VeriML: Typed Computation of Logical Terms inside a Language...

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15th acm sigplan International conference on Functional programming

作者： Stampoulis, Antonis Shao, Zhong Yale Univ Dept Comp Sci New Haven CT 06520 USA

ISBN: (纸本)9781605587943

Modern proof assistants such as Coq and Isabelle provide high degrees of expressiveness and assurance because they support formal reasoning in higher-order logic and supply explicit machine-checkable proof objects. Unfortunately, large scale proof development in these proof assistants is still an extremely difficult and time-consuming task. One major weakness of these proof assistants is the lack of a single language where users can develop complex tactics and decision procedures using a rich programming model and in a typeful manner. this limits the scalability of the proof development process, as users avoid developing domain-specific tactics and decision procedures. In this paper, we present VeriML-a novel language design that couples a type-safe effectful computational language with first-class support for manipulating logical terms such as propositions and proofs. the main idea behind our design is to integrate a rich logical framework-similar to the one supported by Coq-inside a computational language inspired by ML. the language design is such that the added features are orthogonal to the rest of the computational language, and also do not require significant additions to the logic language, so soundness is guaranteed. We have built a prototype implementation of VeriML including both its type-checker and an interpreter. We demonstrate the effectiveness of our design by showing a number of type-safe tactics and decision procedures written in VeriML.

关键词： proof assistants type theory dependent types logical frameworks

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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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What exactly is inexact computation good for?

What exactly is inexact computation good for?

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35th acm sigplan conference on programming language design and implementation (PLDI)

作者： Palem, Krishna Rice Univ Dept Comp Sci Houston TX 77251 USA

ISBN: (纸本)9781450327848

Our willingness to deliberately trade accuracy of computing systems for significant resource savings, notably energy consumption, got a boost from two directions. First, energy (or power, the more popularly used measure) consumption started emerging as a serious hurdle to our ability to continue scaling the complexity of processors, and thus enable ever richer computing applications. this "energy hurdle" spanned the gamut from large data-centers to portable embedded computing systems. Second, many believed that an engine of growth that supported scaling, captured by Gordon Moore's remarkable prophecy (Moore's law), was headed towards an irrevocable cliff edge - when this happens, our ability to produce computing systems whose hardware would support precise or exact computing would diminish greatly. In this talk which emphasizes the physical and hardware layers of abstraction where all of these troubles start (after all energy is rooted in thermodynamics), I will first review reasons that compelled and encouraged us to consider trading accuracy for energy savings deliberately resulting in inexact computing. Copyright © 2014 acm.

关键词： Algorithms design languages Performance Inexact or approximate computing power efficiency energy efficiency

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