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检索条件"任意字段=Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 241 条记录，以下是61-70 订阅

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Frenetic: A Network programming language 11

Frenetic: A Network Programming Language

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16th acm sigplan International conference on Functional programming (ICFP 11)

作者： Foster, Nate Harrison, Rob Freedman, Michael J. Monsanto, Christopher Rexford, Jennifer Story, Alec Walker, David Cornell Univ Ithaca NY 14853 USA Princeton Univ Princeton NJ 08544 USA

ISBN: (纸本)9781450308656

Modern networks provide a variety of interrelated services including routing, traffic monitoring, load balancing, and access control. Unfortunately, the languages used to program today's networks lack modern features-they are usually defined at the low level of abstraction supplied by the underlying hardware and they fail to provide even rudimentary support for modular programming. As a result, network programs tend to be complicated, error-prone, and difficult to maintain. this paper presents Frenetic, a high-level language for programming distributed collections of network switches. Frenetic provides a declarative query language for classifying and aggregating network traffic as well as a functional reactive combinator library for describing high-level packet-forwarding policies. Unlike prior work in this domain, these constructs are-by design-fully compositional, which facilitates modular reasoning and enables code reuse. this important property is enabled by Frenetic's novel run-time system which manages all of the details related to installing, uninstalling, and querying low-level packet-processing rules on physical switches. Overall, this paper makes three main contributions: (1) We analyze the state-of-the art in languages for programming networks and identify the key limitations;(2) We present a language design that addresses these limitations, using a series of examples to motivate and validate our choices;(3) We describe an implementation of the language and evaluate its performance on several benchmarks.

关键词： languages design Network programming languages domain-specific languages functional reactive programming OpenFlow

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Achieving High Coverage for Floating-Point Code via Unconstrained programming 2017

Achieving High Coverage for Floating-Point Code via Unconstr...

引用

38th acm sigplan conference on programming language design and implementation (PLDI)

作者： Fu, Zhoulai Su, Zhendong Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9781450349888

Achieving high code coverage is essential in testing, which gives us confidence in code quality. Testing floating-point code usually requires painstaking efforts in handling floating-point constraints, e.g., in symbolic execution. this paper turns the challenge of testing floating-point code into the opportunity of applying unconstrained programming-the mathematical solution for calculating function minimum points over the entire search space. Our core insight is to derive a representing function from the floating-point program, any of whose minimum points is a test input guaranteed to exercise a new branch of the tested program. this guarantee allows us to achieve high coverage of the floating-point program by repeatedly minimizing the representing function. We have realized this approach in a tool called CoverMe and conducted an extensive evaluation of it on Sun's C math library. Our evaluation results show that CoverMe achieves, on average, 90.8% branch coverage in 6.9 seconds, drastically outperforming our compared tools: (1) Random testing, (2) AFL, a highly optimized, robust fuzzer released by Google, and (3) Austin, a state-of-the-art coverage-based testing tool designed to support floating-point code.

关键词： Unconstrained programming Representing Function CoverMe

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Synthesizing Transformations on Hierarchically Structured Data 16

Synthesizing Transformations on Hierarchically Structured Da...

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37th acm sigplan conference on programming language design and implementation

作者： Yaghmazadeh, Navid Klinger, Christian Dillig, Isil Chaudhuri, Swarat Univ Texas Austin Austin TX 78712 USA Univ Freiburg Freiburg Germany Rice Univ Houston TX 77251 USA

ISBN: (纸本)9781450342612

this paper presents a new approach for synthesizing transformations on tree-structured data, such as Unix directories and XML documents. We consider a general abstraction for such data, called hierarchical data trees (HDTs) and present a novel example-driven synthesis algorithm for HDT transformations. Our central insight is to reduce the problem of synthesizing tree transformers to the synthesis of list transformations that are applied to the paths of the tree. the synthesis problem over lists is solved using a new algorithm that combines SMT solving and decision tree learning. We have implemented our technique in a system called HADES and show that HADES can automatically synthesize a variety of interesting transformations collected from online forums.

关键词： languages Program synthesis programming by example data transformations

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Reusable Inline Caching for JavaScript Performance 2019

Reusable Inline Caching for JavaScript Performance

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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： Choi, Jiho Shull, thomas Torrellas, Josep Univ Illinois Champaign IL 61820 USA

ISBN: (纸本)9781450367127

JavaScript performance is paramount to a user's browsing experience. Browser vendors have gone to great lengths to improve JavaScript's steady-state performance. this has led to sophisticated web applications. However, as users increasingly expect instantaneous page load times, another important goal for JavaScript engines is to attain minimal startup times. In this paper, we reduce the startup time of JavaScript programs by enhancing the reuse of compilation and optimization information across different executions. Specifically, we propose a new scheme to increase the startup performance of Inline Caching (IC), a key optimization for dynamic type systems. the idea is to represent a substantial portion of the IC information in an execution in a context-independent way, and reuse it in subsequent executions. We call our enhanced IC design Reusable Inline Caching (RIC). We integrate RIC into the state-of-the-art Google V8 JavaScript engine and measure its impact on the initialization time of popular JavaScript libraries. By recycling IC information collected from a previous execution, RIC reduces the average initialization time per library by 17%.

关键词： Inline Caching JavaScript Scripting language Dynamic Typing

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Experience report: Functional programming in C-Rules

Experience report: Functional programming in C-Rules

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12th acm sigplan International conference on Functional programming

作者： Wazny, Jeremy Constraint Technol Int Melbourne Vic 3000 Australia

ISBN: (纸本)9781595938152

C-Rules is a business rules management system developed by Constraint Technologies International(1) (CTI), designed for use in transportation problems. Users define rules describing various aspects of a problem, such as solution costs and legality, which are then queried from a host application, typically an optimising solver. At its core, C-Rules provides a functional expression language which affords users both power and flexibility when formulating rules. In this paper we will describe our experiences of using functional programming both at the end-user level, as well as at the implementation level. We highlight some of the benefits we, and the product's users, have enjoyed from the decision to base our rule system on features such as: higher-order functions, referential transparency, and static, polymorphic typing. We also outline some of our experiences in using Haskell to build an efficient compiler for the core language.

关键词： design languages

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Probabilistic programming with Programmable Inference 2018

Probabilistic Programming with Programmable Inference

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39th acm sigplan conference on programming language design and implementation (PLDI)

作者： Mansinghka, Vikash K. Schaechtle, Ulrich Handa, Shivam Radul, Alexey Chen, Yutian Rinard, Martin MIT Cambridge MA 02139 USA Google DeepMind London England

ISBN: (纸本)9781450356985

We introduce inference metaprogramming for probabilistic programming languages, including new language constructs, a formalism, and the first demonstration of effectiveness in practice. Instead of relying on rigid black-box inference algorithms hard-coded into the language implementation as in previous probabilistic programming languages, inference metaprogramming enables developers to 1) dynamically decompose inference problems into subproblems, 2) apply inference tactics to subproblems, 3) alternate between incorporating new data and performing inference over existing data, and 4) explore multiple execution traces of the probabilistic program at once. Implemented tactics include gradient-based optimization, Markov chain Monte Carlo, variational inference, and sequental Monte Carlo techniques. Inference metaprogramming enables the concise expression of probabilistic models and inference algorithms across diverse fields, such as computer vision, data science, and robotics, within a single probabilistic programming language.

关键词： Probabilistic programming Semantics Inference

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Gen: A General-Purpose Probabilistic programming System with Programmable Inference 2019

Gen: A General-Purpose Probabilistic Programming System with...

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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： Cusumano-Towner, Marco F. Saad, Feras A. Lew, Alexander K. Mansinghka, Vikash K. MIT Cambridge MA 02139 USA

ISBN: (纸本)9781450367127

Although probabilistic programming is widely used for some restricted classes of statistical models, existing systems lack the flexibility and efficiency needed for practical use with more challenging models arising in fields like computer vision and robotics. this paper introduces Gen, a generalpurpose probabilistic programming system that achieves modeling flexibility and inference efficiency via several novel language constructs: (i) the generative function interface for encapsulating probabilistic models;(ii) interoperable modeling languages that strike different flexibility/efficiency tradeoffs;(iii) combinators that exploit common patterns of conditional independence;and (iv) an inference library that empowers users to implement efficient inference algorithms at a high level of abstraction. We show that Gen outperforms state-of-the-art probabilistic programming systems, sometimes by multiple orders of magnitude, on diverse problems including object tracking, estimating 3D body pose from a depth image, and inferring the structure of a time series.

关键词： Probabilistic programming Markov chain Monte Carlo sequential Monte Carlo variational inference

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Component-Based Synthesis of Table Consolidation and Transformation Tasks from Examples 2017

Component-Based Synthesis of Table Consolidation and Transfo...

引用

38th acm sigplan conference on programming language design and implementation (PLDI)

作者： Feng, Yu Martins, Ruben Van Geffen, Jacob Dillig, Isil Chaudhuri, Swarat Univ Texas Austin Austin TX 78712 USA Rice Univ Houston TX 77251 USA

ISBN: (纸本)9781450349888

this paper presents a novel component-based synthesis algorithm that marries the power of type-directed search with lightweight SMT-based deduction and partial evaluation. Given a set of components together with their over-approximate first-order specifications, our method first generates a program sketch over a subset of the components and checks its feasibility using an SMT solver. Since a program sketch typically represents many concrete programs, the use of SMT-based deduction greatly increases the scalability of the algorithm. Once a feasible program sketch is found, our algorithm completes the sketch in a bottom-up fashion, using partial evaluation to further increase the power of deduction for rejecting partially-filled program sketches. We apply the proposed synthesis methodology for automating a large class of data preparation tasks that commonly arise in data science. We have evaluated our synthesis algorithm on dozens of data wrangling and consolidation tasks obtained from on-line forums, and we show that our approach can automatically solve a large class of problems encountered by R users.

关键词： Program synthesis programming by example data preparation Component-based synthesis SMT-based deduction

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First-class Runtime Generation of High-performance Types using Exotypes 14

First-class Runtime Generation of High-performance Types usi...

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

作者： DeVito, Zachary Ritchie, Daniel Fisher, Matt Aiken, Alex Hanrahan, Pat Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9781450327848

We introduce exotypes, user-defined types that combine the flexibility of meta-object protocols in dynamically-typed languages with the performance control of low-level languages. Like objects in dynamic languages, exotypes are defined programmatically at runtime, allowing behavior based on external data such as a database schema. To achieve high performance, we use staged programming to define the behavior of an exotype during a runtime compilation step and implement exotypes in Terra, a low-level staged programming language. We show how exotype constructors compose, and use exotypes to implement high-performance libraries for serialization, dynamic assembly, automatic differentiation, and probabilistic programming. Each exotype achieves expressiveness similar to libraries written in dynamically-typed languages but implements optimizations that exceed the performance of existing libraries written in low-level statically-typed languages. though each implementation is significantly shorter, our serialization library is 11 times faster than Kryo, and our dynamic assembler is 3-20 times faster than Google's Chrome assembler.

关键词： design Performance Lua Staged computation DSL

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An Applied Quantum Hoare Logic 2019

An Applied Quantum Hoare Logic

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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： Zhou, Li Yu, Nengkun Ying, Mingsheng Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China Univ Technol Sydney CQSI FEIT Sydney NSW Australia Chinese Acad Sci Inst Software Beijing Peoples R China Tsinghua Univ Beijing Peoples R China

ISBN: (纸本)9781450367127

We derive a variant of quantum Hoare logic (QHL), called applied quantum Hoare logic (aQHL for short), by: (1) restricting QHL to a special class of preconditions and postconditions, namely projections, which can significantly simplify verification of quantum programs and are much more convenient when used in debugging and testing;and (2) adding several rules for reasoning about robustness of quantum programs, i.e. error bounds of outputs. the effectiveness of aQHL is shown by its applications to verify two sophisticated quantum algorithms: HHL (Harrow-Hassidim-Lloyd) for solving systems of linear equations and qPCA (quantum Principal Component Analysis).

关键词： Quantum computation programming languages Hoare logic projections robustness

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