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检索条件"任意字段=ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 2566 条记录，以下是151-160 订阅

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Static array storage optimization in MATLAB 03

引用

conference on programming language design and implementation

作者： Joisha, PG Banerjee, P Northwestern Univ ECE Dept Evanston IL 60208 USA

ISBN: (纸本)9781581136623

An adaptation of the classic register allocation algorithm to the problem of array storage optimization in MATLAB is presented. The method involves the decomposition of an interference graph's color classes using inferred type information. A key trait is the use of symbolic types, along with control flow, in performing the decomposition. On a benchmark suite spanning the published test suites of some recent research MATLAB compilers, our implementation produces savings in the average virtual memory size, with respect to code generated by a commercial MATLAB compiler, of between 51% and 139% in 6 out of 11 programs, and savings between 0.7% and 47% in the remaining. In absolute terms, this ranged from 123KB to over 9MB. Substantial improvements in other categories of memory, such as resident sets and dynamic data (stack plus heap), were also observed and are reported. Speedups in execution times of at least over an order of magnitude in 4 programs, of over 100% in 4 of the remaining, and 10% and over in-the rest are also reported.

关键词： algorithms design languages performance

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First-class Runtime Generation of High-performance Types using Exotypes 14

First-class Runtime Generation of High-performance Types usi...

引用

35th acm sigplan conference on programming language design and implementation (PLDI)

作者： DeVito, Zachary Ritchie, Daniel Fisher, Matt Aiken, Alex Hanrahan, Pat Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9781450327848

We introduce exotypes, user-defined types that combine the flexibility of meta-object protocols in dynamically-typed languages with the performance control of low-level languages. Like objects in dynamic languages, exotypes are defined programmatically at runtime, allowing behavior based on external data such as a database schema. To achieve high performance, we use staged programming to define the behavior of an exotype during a runtime compilation step and implement exotypes in Terra, a low-level staged programming language. We show how exotype constructors compose, and use exotypes to implement high-performance libraries for serialization, dynamic assembly, automatic differentiation, and probabilistic programming. Each exotype achieves expressiveness similar to libraries written in dynamically-typed languages but implements optimizations that exceed the performance of existing libraries written in low-level statically-typed languages. Though each implementation is significantly shorter, our serialization library is 11 times faster than Kryo, and our dynamic assembler is 3-20 times faster than Google's Chrome assembler.

关键词： design Performance Lua Staged computation DSL

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Efficient and precise datarace detection for multithreaded object-oriented programs

Efficient and precise datarace detection for multithreaded o...

引用

conference on programming language design and implementation (PLDI 02)

作者： Choi, JD Lee, KW Loginov, A O'Callahan, R Sarkar, V Sridharan, M IBM Corp Thomas J Watson Res Ctr Yorktown Hts NY 10598 USA Univ Washington Seattle WA 98195 USA Univ Wisconsin Madison WI 53706 USA MIT Cambridge MA 02139 USA

We present a novel approach to dynamic datarace detection for multithreaded object-oriented programs. Past techniques for on-the-fly datarace detection either sacrificed precision for performance, leading to many false positive datarace reports, or maintained precision but incurred significant overheads in the range of 3x to 30x. In contrast, our approach results in very few false positives and runtime overhead in the 13% to 42% range, making it both efficient and precise. This performance improvement is the result of a unique combination of complementary static and dynamic optimization techniques.

关键词： experimentation languages measurement performance dataraces race conditions debugging parallel programs synchronization multithreaded programming object-oriented programming static-dynamic co-analysis

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The design and implementation of Typed Scheme

The Design and Implementation of Typed Scheme

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35th acm-sigplan-SIGACT Symposium on Principles of programming languages

作者： Tobin-Hochstadt, Sam Felleisen, Matthias Northeastern Univ PLT Boston MA 02115 USA

ISBN: (纸本)9781595936899

When scripts in untyped languages grow into large programs, maintaining them becomes difficult. A lack of types in typical scripting languages means that programmers must (re)discover critical pieces of design information every time they wish to change a program. This analysis step both slows down the maintenance process and may even introduce mistakes due to the violation of undiscovered invariants. This paper presents Typed Scheme, an explicitly typed extension of an untyped scripting language. Its type system is based on the novel notion of occurrence typing, which we formalize and mechanically prove sound. The implementation of Typed Scheme additionally borrows elements from a range of approaches, including recursive types, true unions and subtyping, plus polymorphism combined with a modicum of local inference. Initial experiments with the implementation suggest that Typed Scheme naturally accommodates the programming style of the underlying scripting language, at least for the first few thousand lines of ported code. © 2008 acm.

关键词： Type Systems Scheme

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Compiling Stan to Generative Probabilistic languages and Extension to Deep Probabilistic programming 2021

Compiling Stan to Generative Probabilistic Languages and Ext...

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

作者： Baudart, Guillaume Burroni, Javier Hirzel, Martin Mandel, Louis Shinnar, Avraham PSL Univ Ecole Normale Super INRIA Paris Paris France UMass Amherst Amherst MA USA IBM Res MIT IBM Watson AI Lab Armonk NY USA

ISBN: (纸本)9781450383912

Stan is a probabilistic programming language that is popular in the statistics community, with a high-level syntax for expressing probabilistic models. Stan differs by nature from generative probabilistic programming languages like Church, Anglican, or Pyro. This paper presents a comprehensive compilation scheme to compile any Stan model to a generative language and proves its correctness. We use our compilation scheme to build two new backends for the Stanc3 compiler targeting Pyro and NumPyro. Experimental results show that the NumPyro backend yields a 2.3x speedup compared to Stan in geometric mean over 26 benchmarks. Building on Pyro we extend Stan with support for explicit variational inference guides and deep probabilistic models. That way, users familiar with Stan get access to new features without having to learn a fundamentally new language.

关键词： Probabilistic programming Semantics Stan Pyro

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A Lightweight Symbolic Virtual Machine for Solver-Aided Host languages 14

A Lightweight Symbolic Virtual Machine for Solver-Aided Host...

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35th acm sigplan conference on programming language design and implementation (PLDI)

作者： Torlak, Emina Bodik, Rastislav Univ Calif Berkeley Berkeley CA 94608 USA

ISBN: (纸本)9781450327848

Solver-aided domain-specific languages (SDSLs) are an emerging class of computer-aided programming systems. They ease the construction of programs by using satisfiability solvers to automate tasks such as verification, debugging, synthesis, and non-deterministic execution. But reducing programming tasks to satisfiability problems involves translating programs to logical constraints, which is an engineering challenge even for domain-specific languages. We have previously shown that translation to constraints can be avoided if SDSLs are implemented by (traditional) embedding into a host language that is itself solver-aided. This paper describes how to implement a symbolic virtual machine (SVM) for such a host language. Our symbolic virtual machine is lightweight because it compiles to constraints only a small subset of the host's constructs, while allowing SDSL designers to use the entire language, including constructs for DSL embedding. This lightweight compilation employs a novel symbolic execution technique with two key properties: it produces compact encodings, and it enables concrete evaluation to strip away host constructs that are outside the subset compilable to constraints. Our symbolic virtual machine architecture is at the heart of ROSETTE, a solver-aided language that is host to several new SDSLs.

关键词： design languages Solver-Aided languages Symbolic Virtual Machine

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The Essence of Bluespec A Core language for Rule-Based Hardware design 2020

The Essence of Bluespec A Core Language for Rule-Based Hardw...

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

作者： Bourgeat, Thomas Pit-Claudel, Clement Chlipala, Adam Arvind MIT CSAIL 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781450376136

The Bluespec hardware-description language presents a significantly higher-level view than hardware engineers are used to, exposing a simpler concurrency model that promotes formal proof, without compromising on performance of compiled circuits. Unfortunately, the cost model of Bluespec has been unclear, with performance details depending on a mix of user hints and opaque static analysis of potential concurrency conflicts within a design. In this paper we present Koika, a derivative of Bluespec that preserves its desirable properties and yet gives direct control over the scheduling decisions that determine performance. Koika has a novel and deterministic operational semantics that uses dynamic analysis to avoid concurrency anomalies. Our implementation includes Coq definitions of syntax, semantics, key metatheorems, and a verified compiler to circuits. We argue that most of the extra circuitry required for dynamic analysis can be eliminated by compile-time BSV-style static analysis.

关键词： HDL Semantics Compiler Correctness

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Frenetic: A Network programming language 11

Frenetic: A Network Programming Language

引用

16th acm sigplan International conference on Functional programming (ICFP 11)

作者： Foster, Nate Harrison, Rob Freedman, Michael J. Monsanto, Christopher Rexford, Jennifer Story, Alec Walker, David Cornell Univ Ithaca NY 14853 USA Princeton Univ Princeton NJ 08544 USA

ISBN: (纸本)9781450308656

Modern networks provide a variety of interrelated services including routing, traffic monitoring, load balancing, and access control. Unfortunately, the languages used to program today's networks lack modern features-they are usually defined at the low level of abstraction supplied by the underlying hardware and they fail to provide even rudimentary support for modular programming. As a result, network programs tend to be complicated, error-prone, and difficult to maintain. This paper presents Frenetic, a high-level language for programming distributed collections of network switches. Frenetic provides a declarative query language for classifying and aggregating network traffic as well as a functional reactive combinator library for describing high-level packet-forwarding policies. Unlike prior work in this domain, these constructs are-by design-fully compositional, which facilitates modular reasoning and enables code reuse. This important property is enabled by Frenetic's novel run-time system which manages all of the details related to installing, uninstalling, and querying low-level packet-processing rules on physical switches. Overall, this paper makes three main contributions: (1) We analyze the state-of-the art in languages for programming networks and identify the key limitations;(2) We present a language design that addresses these limitations, using a series of examples to motivate and validate our choices;(3) We describe an implementation of the language and evaluate its performance on several benchmarks.

关键词： languages design Network programming languages domain-specific languages functional reactive programming OpenFlow

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Jedd:: A BDD-based relational extension of Java

Jedd:: A BDD-based relational extension of Java

引用

conference on programming language design and implementation

作者： Lhoták, O Hendren, L McGill Univ Sch Comp Sci Sable Res Grp Montreal PQ Canada

In this paper we present Jedd, a language extension to Java that supports a convenient way of programming with Binary Decision Diagrams (BDDs). The Jedd language abstracts BDDs as database-style relations and operations on relations, and provides static type rules to ensure that relational operations are used correctly. The paper provides a description of the Jedd language and reports on the design and implementation of the Jedd translator and associated runtime system. Of particular interest is the approach to assigning attributes from the high-level relations to physical domains in the underlying BDDs, which is done by expressing the constraints as a SAT problem and using a modern SAT solver to compute the solution. Further, a runtime system is defined that handles memory management issues and supports a browsable profiling tool for tuning the key BDD operations. The motivation for designing Jedd was to support the development of whole program analyses based on BDDs, and we have used Jedd to express five key interrelated whole program analyses in our Soot compiler framework. We provide some examples of this application and discuss our experiences using Jedd.

关键词： binary decision diagrams relations language design Java program analysis Boolean formula satisfiability

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Synthesizing Transformations on Hierarchically Structured Data 16

Synthesizing Transformations on Hierarchically Structured Da...

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37th acm sigplan conference on programming language design and implementation

作者： Yaghmazadeh, Navid Klinger, Christian Dillig, Isil Chaudhuri, Swarat Univ Texas Austin Austin TX 78712 USA Univ Freiburg Freiburg Germany Rice Univ Houston TX 77251 USA

ISBN: (纸本)9781450342612

This paper presents a new approach for synthesizing transformations on tree-structured data, such as Unix directories and XML documents. We consider a general abstraction for such data, called hierarchical data trees (HDTs) and present a novel example-driven synthesis algorithm for HDT transformations. Our central insight is to reduce the problem of synthesizing tree transformers to the synthesis of list transformations that are applied to the paths of the tree. The synthesis problem over lists is solved using a new algorithm that combines SMT solving and decision tree learning. We have implemented our technique in a system called HADES and show that HADES can automatically synthesize a variety of interesting transformations collected from online forums.

关键词： languages Program synthesis programming by example data transformations

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