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检索条件"任意字段=Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 255 条记录，以下是101-110 订阅

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the Bedrock Structured programming System Combining Generative Metaprogramming and Hoare Logic in an Extensible Program Verifier 13

The Bedrock Structured Programming System Combining Generati...

引用

18th acm sigplan International conference on Functional programming

作者： Chlipala, Adam MIT CSAIL Cambridge MA USA

ISBN: (纸本)9781450323260

We report on the design and implementation of an extensible programming language and its intrinsic support for formal verification. Our language is targeted at low-level programming of infrastructure like operating systems and runtime systems. It is based on a cross-platform core combining characteristics of assembly languages and compiler intermediate languages. From this foundation, we take literally the saying that C is a "macro assembly language": we introduce an expressive notion of certified low-level macros, sufficient to build up the usual features of C and beyond as macros with no special support in the core. Furthermore, our macros have integrated support for strongest postcondition calculation and verification condition generation, so that we can provide a high-productivity formal verification environment within Coq for programs composed from any combination of macros. Our macro interface is expressive enough to support features that low-level programs usually only access through external tools with no formal guarantees, such as declarative parsing or SQL-inspired querying. the abstraction level of these macros only imposes a compile-time cost, via the execution of functional Coq programs that compute programs in our intermediate language;but the run-time cost is not substantially greater than for more conventional C code. We describe our experiences constructing a full C-like language stack using macros, with some experiments on the verifiability and performance of individual programs running on that stack.

关键词： generative metaprogramming interactive proof assistants low-level programming languages functional programming

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A Distributed OpenCL Framework using Redundant Computation and Data Replication 16

A Distributed OpenCL Framework using Redundant Computation a...

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37th acm sigplan conference on programming language design and implementation

作者： Kim, Junghyun Jo, Gangwon Jung, Jaehoon Kim, Jungwon Lee, Jaejin Seoul Natl Univ Ctr Manycore Programming Dept Comp Sci & Engn Seoul 08826 South Korea

ISBN: (纸本)9781450342612

Applications written solely in OpenCL or CUDA cannot execute on a cluster as a whole. Most previous approaches that extend these programming models to clusters are based on a common idea: designating a centralized host node and coordinating the other nodes with the host for computation. However, the centralized host node is a serious performance bottleneck when the number of nodes is large. In this paper, we propose a scalable and distributed OpenCL framework called SnuCL-D for large-scale clusters. SnuCL-D's remote device virtualization provides an OpenCL application with an illusion that all compute devices in a cluster are confined in a single node. To reduce the amount of control-message and data communication between nodes, SnuCL-D replicates the OpenCL host program execution and data in each node. We also propose a new OpenCL host API function and a queueing optimization technique that significantly reduce the overhead incurred by the previous centralized approaches. To show the effectiveness of SnuCL-D, we evaluate SnuCL-D with a microbenchmark and eleven benchmark applications on a large-scale CPU cluster and a medium-scale GPU cluster.

关键词： OpenCL clusters heterogeneous computing programming models runtime systems redundant computation data replication

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GreenWeb: language Extensions for Energy-Efficient Mobile Web Computing 16

GreenWeb: Language Extensions for Energy-Efficient Mobile We...

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37th acm sigplan conference on programming language design and implementation

作者： Zhu, Yuhao Reddi, Vijay Janapa Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)9781450342612

Web computing is gradually shifting toward mobile devices, in which the energy budget is severely constrained. As a result, Web developers must be conscious of energy efficiency. However, current Web languages provide developers little control over energy consumption. In this paper, we take a first step toward language-level research to enable energy-efficient Web computing. Our key motivation is that mobile systems can wisely budget energy usage if informed with user quality-of-service (QoS) constraints. To do this, programmers need new abstractions. We propose two language abstractions, QoS type and QoS target, to capture two fundamental aspects of user QoS experience. We then present Green Web, a set of language extensions that empower developers to easily express the QoS abstractions as program annotations. As a proof of concept, we develop a GreenWeb runtime, which intelligently determines how to deliver specified user QoS expectation while minimizing energy consumption. Overall, GreenWeb shows significant energy savings (29.2% similar to 66.0%) over Android's default Interactive governor with few QoS violations. Our work demonstrates a promising first step toward language innovations for energy-efficient Web computing.

关键词： Energy-efficiency Web Mobile computing

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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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Exploring and Enforcing Security Guarantees via Program Dependence Graphs 15

Exploring and Enforcing Security Guarantees via Program Depe...

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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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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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A new perspective on processing-in-memory architecture design 13

A new perspective on processing-in-memory architecture desig...

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acm sigplan Workshop on Memory Systems Performance and Correctness, MSPC 2013, co-located with the 34th annual acm sigplan conference on programming language design and implementation, PLDI

作者： Zhang, Dong Ping Jayasena, Nuwan Lyashevsky, Alexander Greathouse, Joseph Meswani, Mitesh Nutter, Mark Ignatowski, Mike Research Group AMD CA United States

ISBN: (纸本)9781450321037

As computation becomes increasingly limited by data movement and energy consumption, exploiting locality throughout the memory hierarchy becomes critical for maintaining the performance scaling that many have come to expect from the computing industry. Moving computation closer to main memory presents an opportunity to reduce the overheads associated with data movement. We explore the potential of using 3D die stacking to move memory-intensive computations closer to memory. this approach to processing-in-memory addresses some drawbacks of prior research on in-memory computing and appears commercially viable in the foreseeable future. We show promising early results from this approach and identify areas that are in need of research to unlock its full potential. © 2013 acm.

关键词： Memory architecture

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Incremental Inference for Probabilistic Programs 2018

Incremental Inference for Probabilistic Programs

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

作者： Cusumano-Towner, Marco Bichsel, Benjamin Gehr, Timon Vechev, Martin Mansinghka, Vikash K. MIT 77 Massachusetts Ave Cambridge MA 02139 USA Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9781450356985

We present a novel approach for approximate sampling in probabilistic programs based on incremental inference. the key idea is to adapt the samples for a program P into samples for a program Q, thereby avoiding the expensive sampling computation for program Q. To enable incremental inference in probabilistic programming, our work: (i) introduces the concept of a trace translator which adapts samples from P into samples of Q, (ii) phrases this translation approach in the context of sequential Monte Carlo (SMC), which gives theoretical guarantees that the adapted samples converge to the distribution induced by Q, and (iii) shows how to obtain a concrete trace translator by establishing a correspondence between the random choices of the two probabilistic programs. We implemented our approach in two different probabilistic programming systems and showed that, compared to methods that sample the program Q from scratch, incremental inference can lead to orders of magnitude increase in efficiency, depending on how closely related P and Q are.

关键词： Probabilistic programming sequential Monte Carlo incremental computation

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Executing Code in the Past: Efficient In-Memory Object Graph Versioning 09

Executing Code in the Past: Efficient In-Memory Object Graph...

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24th Annual acm conference on Object-Oriented programming, Systems, languages and Applications

作者： Pluquet, Frederic Langerman, Stefan Wuyts, Roel Univ Libre Bruxelles Dept Comp Sci Fac Sci Brussels Belgium

ISBN: (纸本)9781605587349

Object versioning refers to how an application can have access to previous states of its objects Implementing this mechanism is hard because it needs to be efficient in space and time, and well integrated with the programming language. this paper presents HistOOry, an object versioning system that uses an efficient data structure to store and retrieve past states. It needs only three primitives, and existing code does not need to be modified to be versioned It provides fine-grained control over what parts of objects are versioned and when It stores all states, past and present, in memory. Code can be executed in the past of the system and will see the complete system at that point in time. We have implemented our model in Smalltalk and used it for three applications that need versioning: checked postconditions, stateful execution tracing and a planar point location implementation. Benchmarks are provided to asses the practical complexity of our implementation.

关键词： Object Versioning Object-oriented programming language design

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Symbolic Reasoning for Automatic Signal Placement 2018

Symbolic Reasoning for Automatic Signal Placement

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

作者： Ferles, Kostas Van Geffen, Jacob Dillig, Isil Smaragdakis, Yannis Univ Texas Austin Austin TX 78712 USA Univ Athens Athens Greece

ISBN: (纸本)9781450356985

Explicit signaling between threads is a perennial cause of bugs in concurrent programs. While there are several runtime techniques to automatically notify threads upon the availability of some shared resource, such techniques are not widely-adopted due to their run-time overhead. this paper proposes a new solution based on static analysis for automatically generating a performant explicit-signal program from its corresponding implicit-signal implementation. the key idea is to generate verification conditions that allow us to minimize the number of required signals and unnecessary context switches, while guaranteeing semantic equivalence between the source and target programs. We have implemented our method in a tool called Expresso and evaluate it on challenging benchmarks from prior papers and open-source software. Expresso-generated code significantly outperforms past automatic signaling mechanisms (avg. 1.56x speedup) and closely matches the performance of hand-optimized explicit-signal code.

关键词： Implicit signal monitors concurrent programming symbolic reasoning verification conditions abductive reasoning monitor invariant

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