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检索条件"任意字段=PLDI 2006 - 2006 ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 528 条记录，以下是141-150 订阅

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A Lightweight Symbolic Virtual Machine for Solver-Aided Host languages 14

A Lightweight Symbolic Virtual Machine for Solver-Aided Host...

引用

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

作者： Torlak, Emina Bodik, Rastislav Univ Calif Berkeley Berkeley CA 94608 USA

ISBN: (纸本)9781450327848

Solver-aided domain-specific languages (SDSLs) are an emerging class of computer-aided programming systems. They ease the construction of programs by using satisfiability solvers to automate tasks such as verification, debugging, synthesis, and non-deterministic execution. But reducing programming tasks to satisfiability problems involves translating programs to logical constraints, which is an engineering challenge even for domain-specific languages. We have previously shown that translation to constraints can be avoided if SDSLs are implemented by (traditional) embedding into a host language that is itself solver-aided. This paper describes how to implement a symbolic virtual machine (SVM) for such a host language. Our symbolic virtual machine is lightweight because it compiles to constraints only a small subset of the host's constructs, while allowing SDSL designers to use the entire language, including constructs for DSL embedding. This lightweight compilation employs a novel symbolic execution technique with two key properties: it produces compact encodings, and it enables concrete evaluation to strip away host constructs that are outside the subset compilable to constraints. Our symbolic virtual machine architecture is at the heart of ROSETTE, a solver-aided language that is host to several new SDSLs.

关键词： design languages Solver-Aided languages Symbolic Virtual Machine

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A General Constraint-centric Scheduling Framework for Spatial Architectures

A General Constraint-centric Scheduling Framework for Spatia...

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

作者： Nowatzki, Tony Sartin-Tarm, Michael De Carli, Lorenzo Sankaralingam, Karthikeyan Estan, Cristian Robatmili, Behnam Univ Wisconsin Madison WI 53706 USA

ISBN: (纸本)9781450320146

Specialized execution using spatial architectures provides energy efficient computation, but requires effective algorithms for spatially scheduling the computation. Generally, this has been solved with architecture-specific heuristics, an approach which suffers from poor compiler/architect productivity, lack of insight on optimality, and inhibits migration of techniques between architectures. Our goal is to develop a scheduling framework usable for all spatial architectures. To this end, we expresses spatial scheduling as a constraint satisfaction problem using Integer Linear programming (ILP). We observe that architecture primitives and scheduler responsibilities can be related through five abstractions: placement of computation, routing of data, managing event timing, managing resource utilization, and forming the optimization objectives. We encode these responsibilities as 20 general ILP constraints, which are used to create schedulers for the disparate TRIPS, DySER, and PLUG architectures. Our results show that a general declarative approach using ILP is implementable, practical, and typically matches or outperforms specialized schedulers.

关键词： Spatial Architectures Spatial Architecture Scheduling Integer Linear programming

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Dynamic Enforcement of Determinism in a Parallel Scripting language 14

Dynamic Enforcement of Determinism in a Parallel Scripting L...

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

作者： Lu, Li Ji, Weixing Scott, Michael L. Univ Rochester Rochester NY 14627 USA Beijing Inst Technol Beijing Peoples R China

ISBN: (纸本)9781450327848

Determinism is an appealing property for parallel programs, as it simplifies understanding, reasoning and debugging. It is particularly appealing in dynamic (scripting) languages, where ease of programming is a dominant design goal. Some existing parallel languages use the type system to enforce determinism statically, but this is not generally practical for dynamic languages. In this paper, we describe how determinism can be obtained-and dynamically enforced/verified-for appropriate extensions to a parallel scripting language. Specifically, we introduce the constructs of Deterministic Parallel Ruby (DPR), together with a run-time system (TARDIS) that verifies properties required for determinism, including correct usage of reductions and commutative operators, and the mutual independence (data-race freedom) of concurrent tasks. Experimental results confirm that DPR can provide scalable performance on multicore machines and that the overhead of TARDIS is low enough for practical testing. In particular, TARDIS significantly outperforms alternative data-race detectors with comparable functionality. We conclude with a discussion of future directions in the dynamic enforcement of determinism.

关键词： design languages Reliability Determinism deterministic parallelism data races scripting language

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FAST: a Transducer-Based language for Tree Manipulation 14

FAST: a Transducer-Based Language for Tree Manipulation

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

作者： D'Antoni, Loris Veanes, Margus Livshits, Benjamin Molnar, David Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9781450327848

Tree automata and tree transducers are used in a wide range of applications in software engineering, from XML processing to language type-checking. While these formalisms are of immense practical use, they can only model finite alphabets, and since many real-world applications operate over in finite domains such as integers, this is often a limitation. To overcome this problem we augment tree automata and transducers with symbolic alphabets represented as parametric theories. Admitting in finite alphabets makes these models more general and succinct than their classical counterparts. Despite this, we show how the main operations, such as composition and language equivalence, remain computable given a decision procedure for the alphabet theory. We introduce a high-level language called Fast that acts as a front-end for the above formalisms. Fast supports symbolic alphabets through tight integration with state-of-the art satisfiability modulo theory (SMT) solvers. We demonstrate our techniques on practical case studies, covering a wide range of applications.

关键词： Symbolic Tree Transducers FAST

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An Efficient Interpreter for Datalog by De-specializing Relations 2021

An Efficient Interpreter for Datalog by De-specializing Rela...

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

作者： Hu, Xiaowen Zhao, David Jordan, Herbert Scholz, Bernhard Univ Sydney Sch Comp Sci Sydney NSW Australia Univ Innsbruck Innsbruck Austria

ISBN: (纸本)9781450383912

Datalog is becoming increasingly popular as a standard tool for a variety of use cases. Modern Datalog engines can achieve high performance by specializing data structures for relational operations. For example, the Datalog engine Souffle achieves high performance with a synthesizer that specializes data structures for relations. However, the synthesizer cannot always be deployed, and a fast interpreter is required. This work introduces the design and implementation of the Souffle Tree Interpreter (STI). Key for the performance of the STI is the support for fast operations on relations. We obtain fast operations by de-specializing data structures so that they can work in a virtual execution environment. Our new interpreter achieves a competitive performance slowdown between 1.32 and 5.67x when compared to synthesized code. If compile time overheads of the synthesizer are also considered, the interpreter can be 6.46x faster on average for the first run.

关键词： Interpreter implementation Datalog Engine Static Data Structure

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Guaranteed Bounds for Posterior Inference in Universal Probabilistic programming 2022

Guaranteed Bounds for Posterior Inference in Universal Proba...

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

作者： Beutner, Raven Ong, C-H Luke Zaiser, Fabian CISPA Helmholtz Ctr Informat Secur Saarbrucken Germany Univ Oxford Oxford England

ISBN: (纸本)9781450392655

We propose a new method to approximate the posterior distribution of probabilistic programs by means of computing guaranteed bounds. The starting point of our work is an interval-based trace semantics for a recursive, higher-order probabilistic programming language with continuous distributions. Taking the form of (super-/subadditive) measures, these lower/upper bounds are non-stochastic and provably correct: using the semantics, we prove that the actual posterior of a given program is sandwiched between the lower and upper bounds (soundness);moreover, the bounds converge to the posterior (completeness). As a practical and sound approximation, we introduce a weight-aware interval type system, which automatically infers interval bounds on not just the return value but also the weight of program executions, simultaneously. We have built a tool implementation, called GuBPI, which automatically computes these posterior lower/upper bounds. Our evaluation on examples from the literature shows that the bounds are useful, and can even be used to recognise wrong outputs from stochastic posterior inference procedures.

关键词： probabilistic programming Bayesian inference verification abstract interpretation operational semantics interval arithmetic type system symbolic execution

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SPPL: Probabilistic programming with Fast Exact Symbolic Inference 2021

SPPL: Probabilistic Programming with Fast Exact Symbolic Inf...

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

作者： Saad, Feras A. Rinard, Martin C. Mansinghka, Vikash K. MIT 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781450383912

We present the Sum-Product Probabilistic language (SPPL), a new probabilistic programming language that automatically delivers exact solutions to a broad range of probabilistic inference queries. SPPL translates probabilistic programs into sum-product expressions, a new symbolic representation and associated semantic domain that extends standard sum-product networks to support mixed-type distributions, numeric transformations, logical formulas, and pointwise and set-valued constraints. We formalize SPPL via a novel translation strategy from probabilistic programs to sum-product expressions and give sound exact algorithms for conditioning on and computing probabilities of events. SPPL imposes a collection of restrictions on probabilistic programs to ensure they can be translated into sum-product expressions, which allow the system to leverage new techniques for improving the scalability of translation and inference by automatically exploiting probabilistic structure. We implement a prototype of SPPL with a modular architecture and evaluate it on benchmarks the system targets, showing that it obtains up to 3500x speedups over state-of-the-art symbolic systems on tasks such as verifying the fairness of decision tree classifiers, smoothing hidden Markov models, conditioning transformed random variables, and computing rare event probabilities.

关键词： probabilistic programming symbolic execution

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programming Model for a Heterogeneous x86 Platform 09

Programming Model for a Heterogeneous x86 Platform

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acm sigplan conference on programming language design and implementation

作者： Saha, Bratin Zhou, Xiaocheng Chen, Hu Gao, Ying Yan, Shoumeng Rajagopalan, Mohan Fang, Jesse Zhang, Peinan Ronen, Ronny Mendelson, Avi Intel Corp Santa Clara CA 95051 USA

ISBN: (纸本)9781605583921

The client computing platform is moving towards a heterogeneous architecture consisting of a combination of cores focused on scalar performance, and a set of throughput-oriented cores. The throughput oriented cores (e.g. a GPU) may be connected over both coherent and non-coherent interconnects, and have different ISAs. This paper describes a programming model for such heterogeneous platforms. We discuss the language constructs, runtime implementation, and the memory model for such a programming environment. We implemented this programming environment in a x86 heterogeneous platform simulator. We ported a number of workloads to our programming environment, and present the performance of our programming environment on these workloads.

关键词： heterogeneous platforms programming model

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A Decision Procedure for Subset Constraints over Regular languages 09

A Decision Procedure for Subset Constraints over Regular Lan...

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acm sigplan conference on programming language design and implementation

作者： Hooimeijer, Pieter Weimer, Westley Univ Virginia Charlottesville VA 22903 USA

ISBN: (纸本)9781605583921

Reasoning about string variables, in particular program inputs, is an important aspect of many program analyses and testing frameworks. Program inputs invariably arrive as strings, and are often manipulated using high-level string operations such as equality checks, regular expression matching, and string concatenation. It is difficult to reason about these operations because they are not well-integrated into current constraint solvers. We present a decision procedure that solves systems of equations over regular language variables. Given such a system of constraints, our algorithm finds satisfying assignments for the variables in the system. We define this problem formally and render a mechanized correctness proof of the core of the algorithm. We evaluate its scalability and practical utility by applying it to the problem of automatically finding inputs that cause SQL injection vulnerabilities.

关键词： decision procedure regular language

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PADS: A domain-specific language for processing ad hoc data

PADS: A domain-specific language for processing ad hoc data

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conference on programming language design and implementation

作者： Fisher, K Gruber, R AT&T Labs Res Florham Pk NJ 07932 USA Google Mountain View CA USA

PADS is a declarative data description language that allows data analysts to describe both the physical layout of ad hoc data sources and semantic properties of that data. From such descriptions, the PADS compiler generates libraries and tools for manipulating the data, including parsing routines, statistical profiling tools, translation programs to produce well-behaved formats such as XML or those required for loading relational databases, and tools for running XQueries over raw PADS data sources. The descriptions are concise enough to serve as "living" documentation while flexible enough to describe most of the ASCII, binary, and Cobol formats that we have seen in practice. The generated parsing library provides for robust, application-specific error handling.

关键词： data description language domain-specific languages

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