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检索条件"任意字段=Proceedings of the ACM Sigplan 2003 Conference on Programming Language Design and Implementation"

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programming language design and implementation

Programming language design and implementation

引用

2008 acm sigplan conference on programming language design and implementation 2008, PLDI'08

ISBN: (纸本)9781595938602

The proceedings contain 34 papers. The topics discussed include: checking race freedom via linear programming;race directed random testing on concurrent programs;Immix: a mark-region garbage collector with space efficiency, fast collection, and imitator performance;a study of concurrent real-time garbage collectors;conditional correlation analysis for safe region-based memory management;automatic volume management for programmable microfluidics;expressive and safe static reflection with MorphJ;a practical automatic polyhedral parallelizer and locality optimizer;orchestrating the execution of stream programs on multicore platforms;deriving linearizable fine-grained concurrent objects;sketching concurrent data structures;SharC: checking data sharing strategies for multithreaded C;and dataflow analysis for concurrent programs using datarace detection.

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Incremental Inference for Probabilistic Programs 2018

Incremental Inference for Probabilistic Programs

引用

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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NV: An Intermediate language for Verification of Network Control Planes 2020

NV: An Intermediate Language for Verification of Network Con...

引用

41st acm sigplan conference on programming language design and implementation (PLDI)

作者： Giannarakis, Nick Loehr, Devon Beckett, Ryan Walker, David Princeton Univ Princeton NJ 08544 USA Microsoft Res Redmond WA USA

ISBN: (纸本)9781450376136

Network misconfiguration has caused a raft of high-profile outages over the past decade, spurring researchers to develop a variety of network analysis and verification tools. Unfortunately, developing and maintaining such tools is an enormous challenge due to the complexity of network configuration languages. Inspired by work on intermediate languages for verification such as Boogie and Why3, we develop NV, an intermediate language for verification of network control planes. NV carefully walks the line between expressiveness and tractability, making it possible to build models for a practical subset of real protocols and their configurations, and also facilitate rapid development of tools that outperform state-of-the-art simulators (seconds vs minutes) and verifiers (often 10x faster). Furthermore, we show that it is possible to develop novel analyses just by writing new NV programs. In particular, we implement a new fault-tolerance analysis that scales to far larger networks than existing tools.

关键词： Network Verification Network Simulation Control Plane Analysis Router Configuration Analysis Intermediate Verification language

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programming by sketching for bit-streaming programs

Programming by sketching for bit-streaming programs

引用

conference on programming language design and implementation

作者： Solar-Lezama, A Rabbah, R Bodík, R Ebcioglu, K Univ Calif Berkeley Div Comp Sci Berkeley CA 94720 USA MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA IBM Corp TJ Watson Res Ctr Armonk NY 10504 USA

This paper introduces the concept of programming with sketches, an approach for the rapid development of high-performance applications. This approach allows a programmer to write clean and portable reference code, and then obtain a high-quality implementation by simply sketching the outlines of the desired implementation. Subsequently, a compiler automatically fills in the missing details while also ensuring that a completed sketch is faithful to the input reference code. In this paper, we develop StreamBit as a sketching methodology for the important class of bit-streaming programs (e.g., coding and cryptography). A sketch is a partial specification of the implementation, and as such, it affords several benefits to programmer in terms of productivity and code robustness. First, a sketch is easier to write compared to a complete implementation. Second, sketching allows the programmer to focus on exploiting algorithmic properties rather than on orchestrating low-level details. Third, a sketch-aware compiler rejects "buggy" sketches, thus improving reliability while allowing the programmer to quickly evaluate sophisticated implementation ideas. We evaluated the productivity and performance benefits of our programming methodology in a user-study, where a group of novice StreamBit programmers competed with a group of experienced C programmers on implementing a cipher. We learned that, given the same time budget, the ciphers developed in StreamBit ran 2.5 x faster than ciphers coded in C. We also produced implementations of DES and Serpent that were competitive with hand optimized implementations available in the public domain.

关键词： stream programming StreamIt synchronous dataflow sketching domain specific language domain specific compiler

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Halide: A language and Compiler for Optimizing Parallelism, Locality, and Recomputation in Image Processing Pipelines

Halide: A Language and Compiler for Optimizing Parallelism, ...

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

作者： Ragan-Kelley, Jonathan Barnes, Connelly Adams, Andrew Paris, Sylvain Durand, Fredo Amarasinghe, Saman MIT CSAIL United States Adobe United States

ISBN: (纸本)9781450320146

Image processing pipelines combine the challenges of stencil computations and stream programs. They are composed of large graphs of different stencil stages, as well as complex reductions, and stages with global or data-dependent access patterns. Because of their complex structure, the performance difference between a naive implementation of a pipeline and an optimized one is often an order of magnitude. Efficient implementations require optimization of both parallelism and locality, but due to the nature of stencils, there is a fundamental tension between parallelism, locality, and introducing redundant recomputation of shared values. We present a systematic model of the tradeoff space fundamental to stencil pipelines, a schedule representation which describes concrete points in this space for each stage in an image processing pipeline, and an optimizing compiler for the Halide image processing language that synthesizes high performance implementations from a Halide algorithm and a schedule. Combining this compiler with stochastic search over the space of schedules enables terse, composable programs to achieve state-of-the-art performance on a wide range of real image processing pipelines, and across different hardware architectures, including multicores with SIMD, and heterogeneous CPU+GPU execution. From simple Halide programs written in a few hours, we demonstrate performance up to 5x faster than hand-tuned C, intrinsics, and CUDA implementations optimized by experts over weeks or months, for image processing applications beyond the reach of past automatic compilers.

关键词： domain specific language compiler image processing locality parallelism redundant computation optimization GPU vectorization

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Symbolic Reasoning for Automatic Signal Placement 2018

Symbolic Reasoning for Automatic Signal Placement

引用

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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Occurrence Typing Modulo Theories 16

Occurrence Typing Modulo Theories

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37th acm sigplan conference on programming language design and implementation

作者： Kent, Andrew M. Kempe, David Tobin-Hochstadt, Sam Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9781450342612

We present a new type system combining occurrence typing- a technique previously used to type check programs in dynamically-typed languages such as Racket, Clojure, and JavaScript-with dependent refinement types. We demonstrate that the addition of refinement types allows the integration of arbitrary solver-backed reasoning about logical propositions from external theories. By building on occurrence typing, we can add our enriched type system as a natural extension of Typed Racket, reusing its core while increasing its expressiveness. The result is a well-tested type system with a conservative, decidable core in which types may depend on a small but extensible set of program terms. In addition to describing our design, we present the following: a formal model and proof of correctness;a strategy for integrating new theories, with specific examples including linear arithmetic and bitvectors;and an evaluation in the context of the full Typed Racket implementation. Specifically, we take safe vector operations as a case study, examining all vector accesses in a 56,000 line corpus of Typed Racket programs. Our system is able to prove that 50% of these are safe with no new annotations, and with a few annotations and modifications we capture more than 70%.

关键词： languages design Verification Refinement types occurrence typing Racket

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A framework for interprocedural optimization in the presence of dynamic class loading

A framework for interprocedural optimization in the presence...

引用

acm sigplan' 00 conference on programming language design and implementation (PLDI)

作者： Sreedhar, VC Burke, M Choi, JD IBM TJ Watson Res Ctr Yorktown Heights NY 10598 USA

Dynamic class loading during program execution in the Java(TM) programming language is an impediment for generating code that is as efficient as code generated using static whole-program analysis and optimization. Whole-program analysis and optimization is possible for languages, such as C++, that do not allow new classes and/or methods to be loaded during program execution. One solution for performing whole-program analysis and avoiding incorrect execution after a new class is loaded is to invalidate and recompile affected methods. Runtime invalidation and recompilation mechanisms can be expensive in both space and time, and, therefore, generally restrict optimization. To address these drawbacks, we propose a new framework, called the errant analysis framework, for interprocedural optimization of programs that support dynamic class (or method) loading. Given a set of classes comprising the closed world, we perform an offline static analysis which partitions references into two categories: (1) unconditionally extant references which point only to objects whose runtime type is guaranteed to be in the closed world;and (2) conditionally extant references which point to objects whose runtime type is not guaranteed to be in the closed world. Optimizations solely dependent on the first category can be statically performed, and are guaranteed to be correct even with any future class/method loading. Optimizations dependent on the second category are guarded by dynamic tests, called extane safety tests, for correct execution behavior. We describe the properties for extant safety tests, and provide algorithms for their generation and placement.

关键词： Java programming language

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Automatic inversion generates divide-and-conquer parallel programs 07

Automatic inversion generates divide-and-conquer parallel pr...

引用

conference on programming language design and implementation

作者： Morita, Kazutaka Morihata, Akimasa Matsuzaki, Kiminori Hu, Zhenjiang Takeichi, Masato Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan

ISBN: (纸本)9781595936332

Divide-and-conquer algorithms are suitable for modern parallel machines, tending to have large amounts of inherent parallelism and working well with caches and deep memory hierarchies. Among others, list homomorphisms are a class of recursive functions on lists, which match very well with the divide-and-conquer paradigm. However, direct programming with list homomorphisms is a challenge for many programmers. In this paper, we propose and implement a novel system that can automatically derive cost-optimal list homomorphisms from a pair of sequential programs, based on the third homomorphism theorem. Our idea is to reduce extraction of list homomorphisms to derivation of weak right inverses. We show that a weak right inverse always exists and can be automatically generated from a wide class of sequential programs. We demonstrate our system with several nontrivial examples, including the maximum prefix sum problem, the prefix sum computation, the maximum segment sum problem, and the line-of-sight problem. The experimental results show practical efficiency of our automatic parallelization algorithm and good speedups of the generated parallel programs.

关键词： algorithms design languages divide-and-conquer parallelism inversion program transformation third homomorphism theorem

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FlumeJava: Easy, Efficient Data-Parallel Pipelines 10

FlumeJava: Easy, Efficient Data-Parallel Pipelines

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acm sigplan conference on programming language design and implementation

作者： Chambers, Craig Raniwala, Ashish Perry, Frances Adams, Stephen Henry, Robert R. Bradshaw, Robert Weizenbaum, Nathan Google Seattle WA USA

ISBN: (纸本)9781450300193

MapReduce and similar systems significantly ease the task of writing data-parallel code. However, many real-world computations require a pipeline of Map Reduces, and programming and managing such pipelines can be difficult. We present Flume Java, a Java library that makes it easy to develop, test, and run efficient data-parallel pipelines. At the core of the Flume Java library are a couple of classes that represent immutable parallel collections, each supporting a modest number of operations for processing them in parallel. Parallel collections and their operations present a simple, high-level, uniform abstraction over different data representations and execution strategies. To enable parallel operations to run efficiently, Flume Java defers their evaluation, instead internally constructing an execution plan dataflow graph. When the final results of the parallel operations are eventually needed, Flume Java first optimizes the execution plan, and then executes the optimized operations on appropriate underlying primitives (e.g., Map Reduces). The combination of high-level abstractions for parallel data and computation, deferred evaluation and optimization, and efficient parallel primitives yields an easy-to-use system that approaches the efficiency of hand-optimized pipelines. Flume Java is in active use by hundreds of pipeline developers within Google.

关键词： data-parallel programming MapReduce Java

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