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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21-30 订阅

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Efficient Synthesis of Probabilistic Programs 15

Efficient Synthesis of Probabilistic Programs

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36th acm sigplan conference on programming language design and implementation

作者： Nori, Aditya V. Ozair, Sherjil Rajamani, Sriram K. Vijaykeerthy, Deepak IIT Delhi Delhi India

ISBN: (纸本)9781450334686

We show how to automatically synthesize probabilistic programs from real-world datasets. Such a synthesis is feasible due to a combination of two techniques: (1) We borrow the idea of "sketching" from synthesis of deterministic programs, and allow the programmer to write a skeleton program with "holes". Sketches enable the programmer to communicate domain-specific intuition about the structure of the desired program and prune the search space, and (2) we design an efficient Markov Chain Monte Carlo (MCMC) based synthesis algorithm to instantiate the holes in the sketch with program fragments. Our algorithm efficiently synthesizes a probabilistic program that is most consistent with the data. A core difficulty in synthesizing probabilistic programs is computing the likelihood L (P vertical bar D) of a candidate program P generating data D. We propose an approximate method to compute likelihoods using mixtures of Gaussian distributions, thereby avoiding expensive computation of integrals. the use of such approximations enables us to speed up evaluation of the likelihood of candidate programs by a factor of 1000, and makes Markov Chain Monte Carlo based search feasible. We have implemented our algorithm in a tool called PSKETCH, and our results are encouraging-PSKETCH is able to automatically synthesize 16 non-trivial real-world probabilistic programs.

关键词： design Experimentation Performance Probabilistic programming Program Synthesis Markov Chain Monte Carlo

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Exploring and Enforcing Security Guarantees via Program Dependence Graphs 15

Exploring and Enforcing Security Guarantees via Program Depe...

引用

36th acm sigplan conference on programming language design and implementation

作者： Johnson, Andrew Waye, Lucas Moore, Scott Chong, Stephen MIT Lincoln Lab Cambridge MA 02139 USA Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9781450334686

We present PIDGIN, a program analysis and understanding tool that enables the specification and enforcement of precise application-specific information security guarantees. PIDGIN also allows developers to interactively explore the information flows in their applications to develop policies and investigate counter-examples. PIDGIN combines program dependence graphs (PDGs), which precisely capture the information flows in a whole application, with a custom PDG query language. Queries express properties about the paths in the PDG;because paths in the PDG correspond to information flows in the application, queries can be used to specify global security policies. PIDGIN is scalable. Generating a PDG for a 330k line Java application takes 90 seconds, and checking a policy on that PDG takes under 14 seconds. the query language is expressive, supporting a large class of precise, application-specific security guarantees. Policies are separate from the code and do not interfere with testing or development, and can be used for security regression testing. We describe the design and implementation of PIDGIN and report on using it: (1) to explore information security guarantees in legacy programs;(2) to develop and modify security policies concurrently with application development;and (3) to develop policies based on known vulnerabilities.

关键词： Application-specific security program dependence graph graph query language

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Proactive and Adaptive Energy-Aware programming with Mixed Typechecking 2017

Proactive and Adaptive Energy-Aware Programming with Mixed T...

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

作者： Canino, Anthony Liu, Yu David SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9781450349888

Application-level energy management is an important dimension of energy optimization. In this paper, we introduce ENT, a novel programming language for enabling proactive and adaptive mode-based energy management at the application level. the proactive design allows programmers to apply their application knowledge to energy management, by characterizing the energy behavior of different program fragments with modes. the adaptive design allows such characterization to be delayed until run time, useful for capturing dynamic program behavior dependent on program states, configuration settings, external battery levels, or CPU temperatures. the key insight is both proactiveness and adaptiveness can be unified under a type system combined with static typing and dynamic typing. ENT has been implemented as an extension to Java, and successfully ported to three energy-conscious platforms: an Intel-based laptop, a Raspberry Pi, and an Android phone. Evaluation shows ENT improves the programmability, debuggability, and energy efficiency of battery-aware and temperature-aware programs.

关键词： Energy Efficiency Energy-Aware programming Type systems

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Lightweight, Flexible Object-Oriented Generics 15

Lightweight, Flexible Object-Oriented Generics

引用

36th acm sigplan conference on programming language design and implementation

作者： Zhang, Yizhou Loring, Matthew C. Salvaneschi, Guido Liskov, Barbara Myers, Andrew C. Cornell Univ Ithaca NY 14853 USA Tech Univ Darmstadt Darmstadt Germany MIT Cambridge MA 02139 USA

ISBN: (纸本)9781450334686

the support for generic programming in modern object-oriented programming languages is awkward and lacks desirable expressive power. We introduce an expressive genericity mechanism that adds expressive power and strengthens static checking, while remaining lightweight and simple in common use cases. Like type classes and concepts, the mechanism allows existing types to model type constraints retroactively. For expressive power, we expose models as named constructs that can be defined and selected explicitly to witness constraints;in common uses of genericity, however, types implicitly witness constraints without additional programmer effort. Models are integrated into the object-oriented style, with features like model generics, model-dependent types, model enrichment, model multimethods, constraint entailment, model inheritance, and existential quantification further extending expressive power in an object-oriented setting. We introduce the new genericity features and show that common generic programming idioms, including current generic libraries, can be expressed more precisely and concisely. the static semantics of the mechanism and a proof of a key decidability property can be found in an associated technical report.

关键词： Genus generic programming constraints models

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Light: Replay via Tightly Bounded Recording 15

Light: Replay via Tightly Bounded Recording

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36th acm sigplan conference on programming language design and implementation

作者： Liu, Peng Zhang, Xiangyu Tripp, Omer Zheng, Yunhui Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450334686

Reproducing concurrency bugs is a prominent challenge. Existing techniques either rely on recording very fine grained execution information and hence have high runtime overhead, or strive to log as little information as possible but provide no guarantee in reproducing a bug. We present Light, a technique that features much lower overhead compared to techniques based on fine grained recording, and that guarantees to reproduce concurrent bugs. We leverage and formally prove that recording flow dependences is the necessary and sufficient condition to reproduce a concurrent bug. the flow dependences, together with the thread local orders that can be automatically inferred (and hence not logged), are encoded as scheduling constraints. An SMT solver is used to derive a replay schedule, which is guaranteed to exist even though it may be different from the original schedule. Our experiments show that Light has only 44% logging overhead, almost one order of magnitude lower than the state of the art techniques relying on logging memory accesses. Its space overhead is only 10% of those techniques. Light can also reproduce all the bugs we have collected whereas existing techniques miss some of them.

关键词： design Performance Reliability Concurrency Replay thread Determinism Tight Bound Local Recording

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Synthesizing Data Structure Transformations from Input-Output Examples 15

Synthesizing Data Structure Transformations from Input-Outpu...

引用

36th acm sigplan conference on programming language design and implementation

作者： Feser, John K. Chaudhuri, Swarat Dillig, Isil Rice Univ Houston TX 77251 USA UT Austin Austin TX 78712 USA

ISBN: (纸本)9781450334686

We present a method for example-guided synthesis of functional programs over recursive data structures. Given a set of input-output examples, our method synthesizes a program in a functional language with higher-order combinators like map and fold. the synthesized program is guaranteed to be the simplest program in the language to fit the examples. Our approach combines three technical ideas: inductive generalization, deduction, and enumerative search. First, we generalize the input-output examples into hypotheses about the structure of the target program. For each hypothesis, we use deduction to infer new input/output examples for the missing subexpressions. this leads to a new subproblem where the goal is to synthesize expressions within each hypothesis. Since not every hypothesis can be realized into a program that fits the examples, we use a combination of best-first enumeration and deduction to search for a hypothesis that meets our needs. We have implemented our method in a tool called lambda(2), and we evaluate this tool on a large set of synthesis problems involving lists, trees, and nested data structures. the experiments demonstrate the scalability and broad scope of lambda(2). A highlight is the synthesis of a program believed to be the world's earliest functional pearl.

关键词： Program synthesis programming by example data transformations search-based synthesis automated deduction

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FunTAL: Reasonably Mixing a Functional language with Assembly 2017

FunTAL: Reasonably Mixing a Functional Language with Assembl...

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

作者： Patterson, Daniel Perconti, Jamie Dimoulas, Christos Ahmed, Amal Northeastern Univ Boston MA 02115 USA Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9781450349888

We present FunTAL, the first multi-language system to formalize safe interoperability between a high-level functional language and low-level assembly code while supporting compositional reasoning about the mix. A central challenge in developing such a multi-language is bridging the gap between assembly, which is staged into jumps to continuations, and high-level code, where subterms return a result. We present a compositional stack-based typed assembly language that supports components, comprised of one or more basic blocks, that may be embedded in high-level contexts. We also present a logical relation for FunTAL that supports reasoning about equivalence of high-level components and their assembly replacements, mixed-language programs with callbacks between languages, and assembly components comprised of different numbers of basic blocks.

关键词： multi-language semantics typed assembly language inline assembly contextual equivalence logical relations

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Futhark: Purely Functional GPU-programming with Nested Parallelism and In-Place Array Updates 2017

Futhark: Purely Functional GPU-Programming with Nested Paral...

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

作者： Henriksen, Troels Serup, Niels G. W. Elsman, Martin Henglein, Fritz Oancea, Cosmin E. Univ Copenhagen DIKU Dept Comp Sci Copenhagen Denmark

ISBN: (纸本)9781450349888

Futhark is a purely functional data-parallel array language that offers a machine-neutral programming model and an optimising compiler that generates OpenCL code for GPUs. this paper presents the design and implementation of three key features of Futhark that seek a suitable middle ground with imperative approaches. First, in order to express efficient code inside the parallel constructs, we introduce a simple type system for in-place updates that ensures referential transparency and supports equational reasoning. Second, we furnish Futhark with parallel operators capable of expressing efficient strength-reduced code, along with their fusion rules. third, we present a flattening transformation aimed at enhancing the degree of parallelism that (i) builds on loop interchange and distribution but uses higher-order reasoning rather than array-dependence analysis, and (ii) still allows further locality-of-reference optimisations. Finally, an evaluation on 16 benchmarks demonstrates the impact of the language and compiler features and shows application-level performance competitive with hand-written GPU code.

关键词： functional language parallel compilers GPGPU

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Inferring Type Rules for Syntactic Sugar 2018

Inferring Type Rules for Syntactic Sugar

引用

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

作者： Pombrio, Justin Krishnamurthi, Shriram Brown Univ Providence RI 02912 USA

ISBN: (纸本)9781450356985

Type systems and syntactic sugar are both valuable to programmers, but sometimes at odds. While sugar is a valuable mechanism for implementing realistic languages, the expansion process obscures program source structure. As a result, type errors can reference terms the programmers did not write (and even constructs they do not know), baffling them. the language developer must also manually construct type rules for the sugars, to give a typed account of the surface language. We address these problems by presenting a process for automatically reconstructing type rules for the surface language using rules for the core. We have implemented this theory, and show several interesting case studies.

关键词： programming languages Syntactic Sugar Macros Type Systems Resugaring

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Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling 2017

Compiling Markov Chain Monte Carlo Algorithms for Probabilis...

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

作者： Huang, Daniel Tristan, Jean-Baptiste Morrisett, Greg Harvard Univ Cambridge MA 02138 USA Oracle Labs Burlington MA USA Cornell Univ Ithaca NY USA

ISBN: (纸本)9781450349888

the problem of probabilistic modeling and inference, at a high-level, can be viewed as constructing a (model, query, inference) tuple, where an inference algorithm implements a query on a model. Notably, the derivation of inference algorithms can be a difficult and error-prone task. Hence, researchers have explored how ideas from probabilistic prog ramming can be applied. In the context of constructing these tuples, probabilistic programming can be seen as taking a language-based approach to probabilistic modeling and inference. For instance, by using (1) appropriate languages for expressing models and queries and (2) devising inference techniques that operate on encodings of models (and queries) as program expressions, the task of inference can be automated. In this paper, we describe a compiler that transforms a probabilistic model written in a restricted modeling language and a query for posterior samples given observed data into a Markov Chain Monte Carlo (MCMC) inference algorithm that implements the query. the compiler uses a sequence of intermediate languages (ILs) that guide it in gradually and successively refining a declarative specification of a probabilistic model and the query into an executable MCMC inference algorithm. the compilation strategy produces composable MCMC algorithms for execution on a CPU or GPU.

关键词： probabilistic programming intermediate languages Markov-chain Monte Carlo kernels

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