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检索条件"任意字段=2005 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 05"
567 条 记 录,以下是111-120 订阅
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IRDL: An IR Definition language for SSA Compilers  2022
IRDL: An IR Definition Language for SSA Compilers
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43rd acm sigplan International conference on programming language design and implementation (pldi)
作者: Fehr, Mathieu Niu, Jeff Riddle, River Amini, Mehdi Su, Zhendong Grosser, Tobias Univ Edinburgh Edinburgh Midlothian Scotland Univ Waterloo Waterloo ON Canada Modular AI Seattle WA USA Google Mountain View CA USA Swiss Fed Inst Technol Zurich Switzerland
designing compiler intermediate representations (IRs) is often a manual process that makes exploration and innovation in this space costly. Developers typically use general-purpose programming languages to design IRs.... 详细信息
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A single intermediate language that supports multiple implementations of exceptions
A single intermediate language that supports multiple implem...
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acm sigplan' 00 conference on programming language design and implementation (pldi)
作者: Ramsey, N Jones, SP Harvard Univ Cambridge MA 02138 USA
We present mechanisms that enable our compiler-target language, C--, to express four of the best known techniques for implementing exceptions, all within a single, uniform framework. We define the mechanisms precisely... 详细信息
来源: 评论
Compiling Stan to Generative Probabilistic languages and Extension to Deep Probabilistic programming  2021
Compiling Stan to Generative Probabilistic Languages and Ext...
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42nd acm sigplan International conference on programming language design and implementation (pldi)
作者: Baudart, Guillaume Burroni, Javier Hirzel, Martin Mandel, Louis Shinnar, Avraham PSL Univ Ecole Normale Super INRIA Paris Paris France UMass Amherst Amherst MA USA IBM Res MIT IBM Watson AI Lab Armonk NY USA
Stan is a probabilistic programming language that is popular in the statistics community, with a high-level syntax for expressing probabilistic models. Stan differs by nature from generative probabilistic programming ... 详细信息
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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
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 bla... 详细信息
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Typed Self-Representation  09
Typed Self-Representation
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acm sigplan conference on programming language design and implementation
作者: Rendel, Tillmann Ostermann, Klaus Hofer, Christian Univ Aarhus DK-8000 Aarhus C Denmark
Self-representation - the ability to represent programs in their own language - has important applications in reflective languages and many other domains of programming language design. Although approaches to designin... 详细信息
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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
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-sp... 详细信息
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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
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 mo... 详细信息
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Achieving High Coverage for Floating-Point Code via Unconstrained programming  2017
Achieving High Coverage for Floating-Point Code via Unconstr...
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38th acm sigplan conference on programming language design and implementation (pldi)
作者: Fu, Zhoulai Su, Zhendong Univ Calif Davis Davis CA 95616 USA
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 symbol... 详细信息
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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
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 domina... 详细信息
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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
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,... 详细信息
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