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检索条件"任意字段=Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation"

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

Proceedings of the ACM SIGPLAN Conference on Programming Lan...

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37th acm sigplan conference on programming language design and implementation, PLDI 2016

ISBN: (纸本)9781450342612

The proceedings contain 48 papers. The topics discussed include: into the depths of C: elaborating the de facto standards;data-driven precondition inference with learned features;Cartesian Hoare logic for verifying k-safety properties;verifying bit-manipulations of floating-point;coverage-directed differential testing of JVM implementations;lightweight computation tree tracing for lazy functional languages;effective padding of multidimensional arrays to avoid cache conflict misses;input responsiveness: using canary inputs to dynamically steer approximation;configuration synthesis for programmable analog devices with Arco;from datalog to flix: a declarative language for fixed points on lattices;latte: a language, compiler, and runtime for elegant and efficient deep neural networks;on the complexity and performance of parsing with derivatives;and toward compositional verification of interruptible OS kernels and device drivers.

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An Interactive Tutoring System for Learning language Processing and Compiler design 20

An Interactive Tutoring System for Learning Language Process...

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25th conference on Innovation and Technology in Computer Science Education

作者： del Vado Virseda, Rafael Univ Complutense Madrid Madrid Spain

ISBN: (纸本)9781450368742

This poster presents an Interactive Tutoring System (ITS) that allows teachers to tutor and evaluate interactively the learning process that the students of a Compiler design course must experience from each theoretical concept to obtain the code of its corresponding implementation (scanners, parsers, translators, interpreters, compilers), regardless of the specific tools chosen for the automatic code generation and the programming language. Through the use of the ITS, each teacher will be able to select those tools that he/she considers more adequate for the development of the course, and integrate them modularly into a common educational environment, so that if later on she/he decides to change these tools or the programming language, the ITS will continue to be valid, and the tutoring and evaluation process carried out by the ITS will remain the same to guide the students from theory to implementation.

关键词： Compilers Course Compiler design Interactive Tutoring System

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Renaissance: Benchmarking Suite for Parallel Applications on the JVM 2019

Renaissance: Benchmarking Suite for Parallel Applications on...

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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： Prokopec, Aleksandar Rosa, Andrea Leopoldseder, David Duboscq, Gilles Tuma, Petr Studener, Martin Bulej, Lubomir Zheng, Yudi Villazon, Alex Simon, Doug Wurthinger, Thomas Binder, Walter Oracle Labs Zurich Switzerland Univ Svizzera Italiana Lugano Switzerland Johannes Kepler Univ Linz Linz Austria Charles Univ Prague Prague Czech Republic Univ Privada Boliviana Colcapirhua Bolivia

ISBN: (纸本)9781450367127

Established benchmark suites for the Java Virtual Machine (JVM), such as DaCapo, ScalaBench, and SPECjvm2008, lack workloads that take advantage of the parallel programming abstractions and concurrency primitives offered by the JVM and the Java Class Library. However, such workloads are fundamental for understanding the way in which modern applications and data-processing frameworks use the JVM's concurrency features, and for validating new just-in-time (JIT) compiler optimizations that enable more efficient execution of such workloads. We present Renaissance, a new benchmark suite composed of modern, real-world, concurrent, and object-oriented workloads that exercise various concurrency primitives of the JVM. We show that the use of concurrency primitives in these workloads reveals optimization opportunities that were not visible with the existing workloads. We use Renaissance to compare performance of two state-of-the-art, production-quality JIT compilers (HotSpot C2 and Graal), and show that the performance differences are more significant than on existing suites such as DaCapo and SPECjvm2008. We also use Renaissance to expose four new compiler optimizations, and we analyze the behavior of several existing ones. Evaluating these optimizations using four benchmark suites shows a more prominent impact on the Renaissance workloads than on those of other suites.

关键词： benchmarks JIT compilation parallelism concurrency JVM object-oriented programming benchmarks functional programming benchmarks Big Data benchmarks

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Incremental Precision-Preserving Symbolic Inference for Probabilistic Programs 2019

Incremental Precision-Preserving Symbolic Inference for Prob...

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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： Zhang, Jieyuan Xue, Jingling UNSW Sydney Sch Comp Sci & Engn Sydney NSW Australia

ISBN: (纸本)9781450367127

We present ISymb, an incremental symbolic inference framework for probabilistic programs in situations when some loop-manipulated array data, upon which their probabilistic models are conditioned, undergoes small changes. To tackle the path explosion challenge, ISymb is intra-procedurally path-sensitive except that it conducts a "meet-over-all-paths" analysis within an iteration of a loop (conditioned on some observed array data). By recomputing only the probability distributions for the paths affected, ISymb avoids expensive symbolic inference from scratch while also being precision-preserving. Our evaluation with a set of existing benchmarks shows that ISymb can lead to orders of magnitude performance improvements compared to its non-incremental counterpart (under small changes in observed array data).

关键词： Probabilistic programming Symbolic Inference Incremental Computation Static analysis

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Characterising Renaming within OCaml's Module System: Theory and implementation 2019

Characterising Renaming within OCaml's Module System: Theory...

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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： Rowe, Reuben N. S. Feree, Hugo Thompson, Simon J. Owens, Scott Univ Kent Sch Comp Canterbury Kent England

ISBN: (纸本)9781450367127

We present an abstract, set-theoretic denotational semantics for a significant subset of OCaml and its module system, allowing to reason about the correctness of renaming value bindings. Our semantics captures information about the binding structure of programs, as well as about which declarations are related by the use of different language constructs (e.g. functors, module types and module constraints). Correct renamings are precisely those that preserve this structure. We show that our abstract semantics is sound with respect to a (domain-theoretic) denotational model of the operational behaviour of programs, and that it allows us to prove various high-level, intuitive properties of renamings. This formal framework has been implemented in a prototype refactoring tool for OCaml that performs renaming.

关键词： Adequacy dependencies modules module types OCaml refactoring renaming semantics

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GraalSqueak Toward a Smalltalk-Based Tooling Platform for Polyglot programming 16

GraalSqueak Toward a Smalltalk-Based Tooling Platform for Po...

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16th acm sigplan International conference on Managed programming languages and Runtimes (MPLR)

作者： Niephaus, Fabio Felgentreff, Tim Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany Oracle Labs Potsdam Germany

ISBN: (纸本)9781450369770

Polyglot programming provides software developers with a broader choice in terms of software libraries and frameworks available for building applications. Previous research and engineering activities have focused on language interoperability and the design and implementation of fast polyglot runtimes. To make polyglot programming more approachable for developers, novel software development tools are needed that help them build polyglot applications. We believe a suitable prototyping platform helps to more quickly evaluate new ideas for such tools. In this paper we present GraalSqueak, a Squeak/Smalltalk virtual machine implementation for the GraalVM. We report our experience implementing GraalSqueak, evaluate the performance of the language and the programming environment, and discuss how the system can be used as a tooling platform for polyglot programming.

关键词： Squeak/Smalltalk virtual machines Truffle GraalVM polyglot programming tools live development

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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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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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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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SCENIC: A language for Scenario Specification and Scene Generation 2019

SCENIC: A Language for Scenario Specification and Scene Gene...

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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： Fremont, Daniel J. Dreossi, Tommaso Ghosh, Shromona Yue, Xiangyu Sangiovanni-Vincentelli, Alberto L. Seshia, Sanjit A. Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9781450367127

We propose a new probabilistic programming language for the design and analysis of perception systems, especially those based on machine learning. Specifically, we consider the problems of training a perception system to handle rare events, testing its performance under different conditions, and debugging failures. We show how a probabilistic programming language can help address these problems by specifying distributions encoding interesting types of inputs and sampling these to generate specialized training and test sets. More generally, such languages can be used for cyber-physical systems and robotics to write environment models, an essential prerequisite to any formal analysis. In this paper, we focus on systems like autonomous cars and robots, whose environment is a scene, a configuration of physical objects and agents. We design a domain-specific language, Scenic, for describing scenarios that are distributions over scenes. As a probabilistic programming language, Scenic allows assigning distributions to features of the scene, as well as declaratively imposing hard and soft constraints over the scene. We develop specialized techniques for sampling from the resulting distribution, taking advantage of the structure provided by Scenic's domain-specific syntax. Finally, we apply Scenic in a case study on a convolutional neural network designed to detect cars in road images, improving its performance beyond that achieved by state-of-the-art synthetic data generation methods.

关键词： scenario description language synthetic data deep learning probabilistic programming automatic test generation fuzz testing

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