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检索条件"任意字段=Proceedings of the ACM SIGPLAN 1993 conference on Programming language design and implementation"

共 1226 条记录，以下是211-220 订阅

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CompCertO: Compiling Certified Open C Components 2021

CompCertO: Compiling Certified Open C Components

引用

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

作者： Koenig, Jeremie Shao, Zhong Yale Univ New Haven CT 06520 USA

ISBN: (纸本)9781450383912

Since the introduction of CompCert, researchers have been refining its language semantics and correctness theorem, and used them as components in software verification efforts. Meanwhile, artifacts ranging from CPU designs to network protocols have been successfully verified, and there is interest in making them interoperable to tackle end-to-end verification at an even larger scale. Recent work shows that a synthesis of game semantics, refinement-based methods, and abstraction layers has the potential to serve as a common theory of certified components. Integrating certified compilers to such a theory is a critical goal. However, none of the existing variants of CompCert meets the requirements we have identified for this task. CompCertO extends the correctness theorem of CompCert to characterize compiled program components directly in terms of their interaction with each other. Through a careful and compositional treatment of calling conventions, this is achieved with minimal effort.

关键词： Compositional Compiler Correctness Game Semantics Simulation Convention language Interface

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GUESSTIMATE: A programming Model for Collaborative Distributed Systems 10

GUESSTIMATE: A Programming Model for Collaborative Distribut...

引用

acm sigplan conference on programming language design and implementation

作者： Rajan, Kaushik Rajamani, Sriram Yaduvanshi, Shashank Microsoft Research bangalore India Microsoft Research Bangalore India Indian Institute of Technology Delhi India

ISBN: (纸本)9781450300193

We present a new programming model GUESSTIMATE for developing collaborative distributed systems. The model allows atomic, isolated operations that transform a system from consistent state to consistent state, and provides a shared transactional store for a collection of such operations executed by various machines in a distributed system. In addition to "committed state" which is identical in all machines in the distributed system, GUESSTIMATE allows each machine to have a replicated local copy of the state (called "guesstimated state") so that operations on shared state can be executed locally without any blocking, while also guaranteeing that eventually all machines agree on the sequences of operations executed. Thus, each operation is executed multiple times, once at the time of issue when it updates the guesstimated state of the issuing machine, once when the operation is committed (atomically) to the committed state of all machines, and several times in between as the guesstimated state converges toward the committed state. While we expect the results of these executions of the operation to be identical most of the time in the class of applications we study, it is possible for an operation to succeed the first time when it is executed on the guesstimated state, and fail when it is committed. GUESSTIMATE provides facilities that allow the programmer to deal with this potential discrepancy. This paper presents our programming model, its operational semantics, its realization as an API in C#, and our experience building collaborative distributed applications with this model.

关键词： Distributed systems collaborative applications concurrency language extensions

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CEAL: A C-Based language for Self-Adjusting Computation 09

CEAL: A C-Based Language for Self-Adjusting Computation

引用

acm sigplan conference on programming language design and implementation

作者： Hammer, Matthew A. Acar, Umut A. Chen, Yan Toyota Technol Inst Chicago Chicago IL USA

ISBN: (纸本)9781605583921

Self-adjusting computation offers a language-centric approach to writing programs that can automatically respond to modifications to their data (e.g., inputs). Except for several domain-specific implementations, however, all previous implementations of self-adjusting computation assume mostly functional, higher-order languages such as Standard ML. Prior to this work, it was not known if self-adjusting computation can be made to work with low-level, imperative languages such as C without placing undue burden on the programmer. We describe the design and implementation of CEAL: a C-based language for self-adjusting computation. The language is fully general and extends C with a small number of primitives to enable writing self-adjusting programs in a style similar to conventional C programs. We present efficient compilation techniques for translating CEAL programs into C that can be compiled with existing C compilers using primitives supplied by a run-time library for self-adjusting computation. We implement the proposed compiler and evaluate its effectiveness. Our experiments show that CEAL is effective in practice: compiled self-adjusting programs respond to small modifications to their data by orders of magnitude faster than recomputing from scratch while slowing down a from-scratch run by a moderate constant factor. Compared to previous work, we measure significant space and time improvements.

关键词： Self-adjusting computation compilation control and data flow dominators tail calls trampolines performance

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Event-Driven Network programming 16

Event-Driven Network Programming

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37th acm sigplan conference on programming language design and implementation

作者： McClurg, Jedidiah Hojjat, Hossein Foster, Nate Cerny, Pavol CU Boulder Boulder CO 80309 USA Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9781450342612

Software-defined networking (SDN) programs must simultaneously describe static forwarding behavior and dynamic updates in response to events. Event-driven updates are critical to get right, but difficult to implement correctly due to the high degree of concurrency in networks. Existing SDN platforms offer weak guarantees that can break application invariants, leading to problems such as dropped packets, degraded performance, security violations, etc. This paper introduces event-driven consistent updates that are guaranteed to preserve well-defined behaviors when transitioning between configurations in response to events. We propose network event structures (NESs) to model constraints on updates, such as which events can be enabled simultaneously and causal dependencies between events. We define an extension of the NetKAT language with mutable state, give semantics to stateful programs using NESs, and discuss provably-correct strategies for implementing NESs in SDNs. Finally, we evaluate our approach empirically, demonstrating that it gives well-defined consistency guarantees while avoiding expensive synchronization and packet buffering.

关键词： network update consistent update event structure software-defined networking SDN NetKAT

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Deployable Probabilistic programming

Deployable Probabilistic Programming

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acm sigplan International Symposium on New Ideas, New Paradigms, and Reflections on programming and Software (Onward) part of SPLASH conference

作者： Tolpin, David PUB Tel Aviv Israel

ISBN: (纸本)9781450369954

We propose design guidelines for a probabilistic programming facility suitable for deployment as a part of a production software system. As a reference implementation, we introduce Infergo, a probabilistic programming facility for Go, a modern programming language of choice for server-side software development. We argue that a similar probabilistic programming facility can be added to most modern general-purpose programming languages. Probabilistic programming enables automatic tuning of program parameters and algorithmic decision making through probabilistic inference based on the data. To facilitate addition of probabilistic programming capabilities to other programming languages, we share implementation choices and techniques employed in development of Infergo. We illustrate applicability of Infergo to various use cases on case studies, and evaluate Infergo's performance on several benchmarks, comparing Infergo to dedicated inference-centric probabilistic programming frameworks.

关键词： probabilistic programming algorithmic differentiation bayesian modeling

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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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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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SPPL: Probabilistic programming with Fast Exact Symbolic Inference 2021

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

引用

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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Facile: A language and compiler for high-performance processor simulators 01

Facile: A language and compiler for high-performance process...

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

作者： Schnarr, EC Hill, MD Larus, JR QUIQ Inc Madison WI 53711 USA Univ Wisconsin Madison WI 53706 USA Microsoft Corp Res Redmond WA 98052 USA

ISBN: (纸本)9781581134148

Architectural simulators are essential tools for computer architecture and systems research and development. Simulators, however, are becoming frustratingly slow, because they must now model increasingly complex micro-architectures running realistic workloads. Previously, we developed a technique called fast-forwarding, which applied partial evaluation and memoization to improve the performance of detailed architectural simulations by as much as an order of magnitude [14]. While writing a detailed processor simulator is difficult, implementing fast-forwarding is even more complex. This paper describes Facile, a domain-specific language for writing detailed, accurate micro-architecture simulators. Architectural descriptions written in Facile can be compiled, using partial evaluation techniques, into fast-forwarding simulators that achieve significant performance improvements with far less programmer effort. Facile and its compiler make this performance-enhancing technique accessible to computer architects.

关键词： micro-architecture simulation out-of-order processor simulation memoization and partial evaluation

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Complete removal of redundant expressions 98

Complete removal of redundant expressions

引用

proceedings of the 1998 Annual acm sigplan conference on programming language design and implementation, PLDI

作者： Bodik, Rastislav Gupta, Rajiv Soffa, Mary Lou Univ of Pittsburgh Pittsburgh PA United States

ISBN: (纸本)9780897919876

Partial redundancy elimination (PRE), the most important component of global optimizers, generalizes the removal of common subexpressions and loop-invariant computations. Achieving a complete PRE while incurring an acceptable code growth is the main focus of the study. An algorithm for complete removal of partial redundancies, based on the integration of code motion and control flow restructuring is presented. In contrast to existing complete techniques, resort to restructuring merely to remove obstacles to code motion, rather than to carry out the actual optimization.

关键词： Computer systems programming

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