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Thin locks: Featherweight synchronization for Java

Thin locks: Featherweight synchronization for Java

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Proceedings of the 1998 Annual acm sigplan conference on programming language design and implementation, pldi

作者： Bacon, David F. Konuru, Ravi Murthy, Chet Serrano, Mauricio IBM T.J. Watson Research Cent Yorktown Heights United States

language-supported synchronization is a source of serious performance problems in many Java programs. Even single-threaded applications may spend up to half their time performing useless synchronization due to the thread-safe nature of the Java libraries. We solve this performance problem with a new algorithm that allows lock and unlock operations to be performed with only a few machine instructions in the most common cases. Our locks only require a partial word per object, and were implemented without increasing object size. We present measurements from our implementation in the JDK 1.1.2 for AIX, demonstrating speedups of up to a factor of 5 in micro-benchmarks and up to a factor of 1.7 in real programs.

关键词： Java programming language

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Demand-driven pointer analysis 01

Demand-driven pointer analysis

引用

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

作者： Heintze, N Tardieu, O Ecole Mines Paris France

ISBN: (纸本)9781581134148

Known algorithms for pointer analysis are "global" in the sense that-they perform an exhaustive analysis of a program or program component. In this paper we introduce a demand-driven approach for pointer analysis. Specifically, we describe a demand-driven flow-insensitive, subset-based, context-insensitive points-to analysis. Given a list of pointer variables (a query), our analysis performs just enough computation to determine the points-to sets for these query variables. Using deductive reachability formulations of both the exhaustive and the demand-driven analyses, we prove that our algorithm is correct. We also show that our analysis is optimal in the sense that it does not do more work than necessary. We illustrate the feasibility and efficiency of our analysis with an implementation of demand-driven points-to analysis for computing the call-graphs of C programs with function pointers. The performance of our system varies substantially across benchmarks - the main factor is how much of the points-to graph must be computed to determine the call-graph. For some benchmarks, only a small part of the points-to graph is needed (e.g povray, emacs and gee), and here we see more than a 10x speedup. For other benchmarks (e.g. burlap and gimp), we need to compute most (> 95%) of the points-to graph, and here the demand-driven algorithm is considerably slower, because using the demand-driven algorithm is a slow method of computing the full points-to graph.

关键词： Computer programming languages

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An experimental analysis of self-adjusting computation 06

An experimental analysis of self-adjusting computation

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acm sigplan conference on programming language design and implementation, pldi 2006 - PLAS 2006: 2006 programming languages and Analysis for Security Workshop

作者： Acar, Umut A. Blelloch, Guy E. Blume, Matthias Tangwongsan, Kanat Toyota Technological Institute Japan Carnegie Mellon University United States

ISBN: (纸本)1595933743

Dependence graphs and memoization can be used to efficiently update the output of a program as the input changes dynamically. Recent work has studied techniques for combining these approaches to effectively dynamize a wide range of applications. Toward this end various theoretical results were given. In this paper we describe the implementation of a library based on these ideas, and present experimental results on the efficiency of this library on a variety of applications. The results of the experiments indicate that the approach is effective in practice, often requiring orders of magnitude less time than recomputing the output from scratch. We believe this is the first experimental evidence that incremental computation of any type is effective in practice for a reasonably broad set of applications. Copyright © 2006 acm.

关键词： Dynamic programming

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Gillian, Part I: A Multi-language Platform for Symbolic Execution 2020

Gillian, Part I: A Multi-language Platform for Symbolic Exec...

引用

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

作者： Santos, Jose Fragoso Maksimovic, Petar Ayoun, Sacha-Elie Gardner, Philippa Univ Lisbon INESC ID Inst Super Tecn Lisbon Portugal Imperial Coll London London England

ISBN: (纸本)9781450376136

We introduce Gillian, a platform for developing symbolic analysis tools for programming languages. Here, we focus on the symbolic execution engine at the heart of Gillian, which is parametric on the memory model of the target language. We give a formal description of the symbolic analysis and a modular implementation that closely follows this description. We prove a parametric soundness result, introducing restriction on abstract states, which generalises path conditions used in classical symbolic execution. We instantiate Gillian to obtain trusted symbolic testing tools for JavaScript and C, and use these tools to find bugs in real-world code, thus demonstrating the viability of our parametric approach.

关键词： Symbolic execution parametric semantics bug-finding bounded verification JavaScript C

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programming language design and implementation

Programming language design and implementation

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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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Polyhedral Auto-transformation with No Integer Linear programming 2018

Polyhedral Auto-transformation with No Integer Linear Progra...

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

作者： Acharya, Aravind Bondhugula, Uday Cohen, Albert Indian Inst Sci Dept Comp Sci & Automat Bangalore Karnataka India INRIA Paris France DI Ecole Normale Super Paris France

ISBN: (纸本)9781450356985

State-of-the-art algorithms used in automatic polyhedral transformation for parallelization and locality optimization typically rely on Integer Linear programming (ILP). This poses a scalability issue when scaling to tens or hundreds of statements, and may be disconcerting in production compiler settings. In this work, we consider relaxing integrality in the ILP formulation of the Pluto algorithm, a popular algorithm used to find good affine transformations. We show that the rational solutions obtained from the relaxed LP formulation can easily be scaled to valid integral ones to obtain desired solutions, although with some caveats. We first present formal results connecting the solution of the relaxed LP to the original Pluto ILP. We then show that there are difficulties in realizing the above theoretical results in practice, and propose an alternate approach to overcome those while still leveraging linear programming. Our new approach obtains dramatic compile-time speedups for a range of large benchmarks. While achieving these compile-time improvements, we show that the performance of the transformed code is not sacrificed. Our approach to automatic transformation provides a mean compilation time improvement of 5.6x over state-of-the-art on relevant challenging benchmarks from the NAS PB, SPEC CPU 2006, and PolyBench suites. We also came across situations where prior frameworks failed to find a transformation in a reasonable amount of time, while our new approach did so instantaneously.

关键词： Polyhedral transformation Pluto algorithm

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Mint: Java Multi-stage programming Using Weak Separability 10

Mint: Java Multi-stage Programming Using Weak Separability

引用

acm sigplan conference on programming language design and implementation

作者： Westbrook, Edwin Ricken, Mathias Inoue, Jun Yao, Yilong Abdelatif, Tamer Taha, Walid Rice Univ Houston TX 77251 USA

ISBN: (纸本)9781450300193

Multi-stage programming (MSP) provides a disciplined approach to run-time code generation. In the purely functional setting, it has been shown how MSP can be used to reduce the overhead of abstractions, allowing clean, maintainable code without paying performance penalties. Unfortunately, MSP is difficult to combine with imperative features, which are prevalent in mainstream languages. The central difficulty is scope extrusion, wherein free variables can inadvertently be moved outside the scopes of their binders. This paper proposes a new approach to combining MSP with imperative features that occupies a "sweet spot" in the design space in terms of how well useful MSP applications can be expressed and how easy it is for programmers to understand. The key insight is that escapes (or "anti-quotes") must be weakly separable from the rest of the code, i.e. the computational effects occurring inside an escape that are visible outside the escape are guaranteed to not contain code. To demonstrate the feasibility of this approach, we formalize a type system based on Lightweight Java which we prove sound, and we also provide an implementation, called Mint, to validate both the expressivity of the type system and the effect of staging on the performance of Java programs.

关键词： languages Multi-staged languages Multi-stage programming Type systems Java

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It's alive! Continuous feedback in UI programming

It's alive! Continuous feedback in UI programming

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34th acm sigplan conference on programming language design and implementation, pldi 2013

作者： Burckhardt, Sebastian De Halleux, Peli Moskal, Michal Fähndrich, Manuel McDirmid, Sean Tillmann, Nikolai Kato, Jun Microsoft Research United States University of Tokyo Japan

ISBN: (纸本)9781450320146

Live programming allows programmers to edit the code of a running program and immediately see the effect of the code changes. This tightening of the traditional edit-compile-run cycle reduces the cognitive gap between program code and execution, improving the learning experience of beginning programmers while boosting the productivity of seasoned ones. Unfortunately, live programming is difficult to realize in practice as imperative languages lack well-defined abstraction boundaries that make live programming responsive or its feedback comprehensible. This paper enables live programming for user interface programming by cleanly separating the rendering and non-rendering aspects of a UI program, allowing the display to be refreshed on a code change without restarting the program. A type and effect system formalizes this separation and provides an evaluation model that incorporates the code update step. By putting live programming on a more formal footing, we hope to enable critical and technical discussion of live programming systems. Copyright © 2013 acm.

关键词： Graphical user interfaces

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Persistency for Synchronization-Free Regions 2018

Persistency for Synchronization-Free Regions

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

作者： Gogte, Vaibhav Diestelhorst, Stephan Wang, William Narayanasamy, Satish Chen, Peter M. Wenisch, Thomas F. Univ Michigan Ann Arbor MI 48109 USA Arm Res Cambridge England

ISBN: (纸本)9781450356985

Nascent persistent memory (PM) technologies promise the performance of DRAM with the durability of disk, but how best to integrate them into programming systems remains an open question. Recent work extends language memory models with a persistency model prescribing semantics for updates to PM. These semantics enable programmers to design data structures in PM that are accessed like memory and yet are recoverable upon crash or failure. Alas, we find the semantics and performance of existing approaches unsatisfying. Existing approaches require high-overhead mechanisms, are restricted to certain synchronization constructs, provide incomplete semantics, and/or may recover to state that cannot arise in fault-free execution. We propose persistency semantics that guarantee failure atomicity of synchronization-free regions (SFRs) -program regions delimited by synchronization operations. Our approach provides clear semantics for the PM state recovery code may observe and extends C++11's "sequential consistency for data-race-free" guarantee to post-failure recovery code. We investigate two designs for failure-atomic SFRs that vary in performance and the degree to which commit of persistent state may lag execution. We demonstrate both approaches in LLVM v3.6.0 and compare to a state-of-the-art baseline to show performance improvement up to 87.5% (65.5% avg).

关键词： Persistent memories persistency models language memory models failure-atomicity synchronization-free regions

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Towards an API for the Real Numbers 2020

Towards an API for the Real Numbers

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

作者： Boehm, Hans-J Google Mountain View CA 94043 USA

ISBN: (纸本)9781450376136

The real numbers are pervasive, both in daily life, and in mathematics. Students spend much time studying their properties. Yet computers and programming languages generally provide only an approximation geared towards performance, at the expense of many of the nice properties we were taught in high school. Although this is entirely appropriate for many applications, particularly those that are sensitive to arithmetic performance in the usual sense, we argue that there are others where it is a poor choice. If arithmetic computations and result are directly exposed to human users who are not floating point experts, floating point approximations tend to be viewed as bugs. For applications such as calculators, spreadsheets, and various verification tasks, the cost of precision sacrifices is high, and the performance benefit is often not critical. We argue that previous attempts to provide accurate and understandable results for such applications using the recursive reals were great steps in the right direction, but they do not suffice. Comparing recursive reals diverges if they are equal. In many cases, comparison of numbers, including equal ones, is both important, particularly in simple cases, and intractable in the general case. We propose an API for a real number type that explicitly provides decidable equality in the easy common cases, in which it is often unnatural not to. We describe a surprisingly compact and simple implementation in detail. The approach relies heavily on classical number theory results. We demonstrate the utility of such a facility in two applications: testing floating point functions, and to implement arithmetic in Google's Android calculator application.

关键词： real numbers API design comparison decidability

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