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检索条件"任意字段=Proceedings of the ACM SIGPLAN 2002 conference on Programming language design and implementation"

共 1254 条记录，以下是141-150 订阅

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A single intermediate language that supports multiple implementations of exceptions

A single intermediate language that supports multiple implem...

引用

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

作者： Ramsey, N Jones, SP Harvard Univ Cambridge MA 02138 USA

We present mechanisms that enable our compiler-target language, C--, to express four of the best known techniques for implementing exceptions, all within a single, uniform framework. We define the mechanisms precisely, using a formal operational semantics. We also show that exceptions need not require special treatment in the optimizer;by introducing extra dataflow edges, we make standard optimization techniques work even on programs that use exceptions. Our approach clarifies the design space of exception-handling techniques, and it allows a single optimizer to handle a variety of implementation techniques. Our ultimate goal is to allow a source-language compiler the freedom to choose its exception-handling policy, while encapsulating the architecture-dependent mechanisms and their optimization in an implementation of C-- that can be used by compilers for many source languages.

关键词： C (programming language)

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Maya: Multiple-dispatch syntax extension in Java 02

Maya: Multiple-dispatch syntax extension in Java

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proceedings of the acm sigplan 2002 conference on programming language design and implementation (PLDI'02)

作者： Baker, Jason Hsieh, Wilson C. University of Utah Salt Lake City UT United States

ISBN: (纸本)9781581134636

We have designed and implemented Maya, a vers ion of Java that allows programmers to extend and reinterpret its syntax. Maya generalizes macro systems by treating grammar productions as generic functions, and semantic actions on productions as multimethods on the corresponding generic functions. Programmers can write new generic functions (i.e., grammar productions) and new multimethods (i.e., semantic actions), through which they can extend the grammar of the language and change the semantics of its syntactic constructs, respectively. Maya's multimethods are compile-time metaprograms that transform abstract syntax: they execute at program compile-time, because they are semantic actions executed by the parser. Maya's multimethods can be dispatched on the syntactic structure of the input, as well as the static, source-level types of expressions in the input. In this paper we describe what Maya can do and how it works. We describe how its novel parsing techniques work and how Maya can statically detect certain kinds of errors, such as code that generates references to free variables. Finally, to demonstrate Maya's expressiveness, we describe how Maya can be used to implement the Multi Java language, which was described by Clifton et al. at OOPSLA 2000.

关键词： Java programming language

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An automatically generated, realistic compiler for an imperative programming language

An automatically generated, realistic compiler for an impera...

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acm sigplan conference on programming language design and implementation, PLDI 1988

作者： Pleban, Uwe F. Lee, Peter Tektronix Laboratories P.O. Box 500 M/S 50-662 BeavertonOR9077 United States Department of Computer Science Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)0897912691

We describe the automatic generation of a complete, realistic compiler from formal specifications of the syntax and semantics of Sol/C, a nontrivial imperative language "sort of like C." The compiler exhibits a three pass structure, is efficient, and produces object programs whose performance characteristics compare favorably with those produced by commercially available compilers. To our knowledge, this is the first time that this has been accomplished. © 1988 acm.

关键词： Sols

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Achieving High Coverage for Floating-Point Code via Unconstrained programming 2017

Achieving High Coverage for Floating-Point Code via Unconstr...

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

作者： Fu, Zhoulai Su, Zhendong Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9781450349888

Achieving high code coverage is essential in testing, which gives us confidence in code quality. Testing floating-point code usually requires painstaking efforts in handling floating-point constraints, e.g., in symbolic execution. This paper turns the challenge of testing floating-point code into the opportunity of applying unconstrained programming-the mathematical solution for calculating function minimum points over the entire search space. Our core insight is to derive a representing function from the floating-point program, any of whose minimum points is a test input guaranteed to exercise a new branch of the tested program. This guarantee allows us to achieve high coverage of the floating-point program by repeatedly minimizing the representing function. We have realized this approach in a tool called CoverMe and conducted an extensive evaluation of it on Sun's C math library. Our evaluation results show that CoverMe achieves, on average, 90.8% branch coverage in 6.9 seconds, drastically outperforming our compared tools: (1) Random testing, (2) AFL, a highly optimized, robust fuzzer released by Google, and (3) Austin, a state-of-the-art coverage-based testing tool designed to support floating-point code.

关键词： Unconstrained programming Representing Function CoverMe

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GraalSqueak Toward a Smalltalk-Based Tooling Platform for Polyglot programming 16

GraalSqueak Toward a Smalltalk-Based Tooling Platform for Po...

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16th acm sigplan International conference on Managed programming languages and Runtimes (MPLR)

作者： Niephaus, Fabio Felgentreff, Tim Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany Oracle Labs Potsdam Germany

ISBN: (纸本)9781450369770

Polyglot programming provides software developers with a broader choice in terms of software libraries and frameworks available for building applications. Previous research and engineering activities have focused on language interoperability and the design and implementation of fast polyglot runtimes. To make polyglot programming more approachable for developers, novel software development tools are needed that help them build polyglot applications. We believe a suitable prototyping platform helps to more quickly evaluate new ideas for such tools. In this paper we present GraalSqueak, a Squeak/Smalltalk virtual machine implementation for the GraalVM. We report our experience implementing GraalSqueak, evaluate the performance of the language and the programming environment, and discuss how the system can be used as a tooling platform for polyglot programming.

关键词： Squeak/Smalltalk virtual machines Truffle GraalVM polyglot programming tools live development

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Member lookup algorithm for C++

Member lookup algorithm for C++

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proceedings of the 1997 acm SIGPLAM conference on programming language design and implementation, PLDI

作者： Ramalingam, G. Srinivasan, Harini IBM T.J. Watson Research Cent Yorktown Heights United States

The member lookup problem in C++ is the problem of resolving a specified member name in the context of a specified class. Member lookup in C++ is complicated by the presence of virtual inheritance and multiple inheritance. In this paper, we present an efficient algorithm for member lookup in C++. We also present a formalism for the multiple inheritance mechanism of C++, which we use as the basis for deriving our algorithm. The formalism may also be of use as a formal basis for deriving other C++ compiler algorithms.

关键词： C (programming language)

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Efficient discovery of regular stride patterns in irregular programs and its use in compiler prefetching

Efficient discovery of regular stride patterns in irregular ...

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conference on programming language design and implementation (PLDI 02)

作者： Wu, YF Intel Labs Programming Syst Res Santa Clara CA 95052 USA

Irregular data references are difficult to prefetch, as the future memory address of a load instruction is hard to anticipate by a compiler. However, recent studies as well as our experience indicate that some important load instructions in irregular programs contain stride access patterns. Although the load instructions with stride patterns are difficult to identify with static compiler techniques, we developed an efficient profiling method to discover these load instructions. The new profiling method integrates the profiling for stride information and the traditional profiling for edge frequency into a single profiling pass. The integrated profiling pass runs only 17% slower than the frequency profiling alone. The collected stride information helps the compiler to identify load instructions with stride patterns that can be prefetched efficiently and beneficially. We implemented the new profiling and prefetching techniques in a research compiler for Itanium(TM) Processor Family (IPF), and obtained significant performance improvement for the SPECINT2000 programs running on Itanium machines. For example, we achieved a 1.59x speedup for *** 1.14x for ***, and 1.08x for ***. We also showed that the performance gain is stable across input data sets. These benefits make the new profiling and prefetching techniques suitable for production compilers.

关键词： languages performance design experimentation algorithms integrated stride and frequency profiling data prefetching strongly single-strided loads phased multi-strided loads performance evaluation

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

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

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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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Static array storage optimization in MATLAB 03

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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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Probabilistic programming with Programmable Inference 2018

Probabilistic Programming with Programmable Inference

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

作者： Mansinghka, Vikash K. Schaechtle, Ulrich Handa, Shivam Radul, Alexey Chen, Yutian Rinard, Martin MIT Cambridge MA 02139 USA Google DeepMind London England

ISBN: (纸本)9781450356985

We introduce inference metaprogramming for probabilistic programming languages, including new language constructs, a formalism, and the first demonstration of effectiveness in practice. Instead of relying on rigid black-box inference algorithms hard-coded into the language implementation as in previous probabilistic programming languages, inference metaprogramming enables developers to 1) dynamically decompose inference problems into subproblems, 2) apply inference tactics to subproblems, 3) alternate between incorporating new data and performing inference over existing data, and 4) explore multiple execution traces of the probabilistic program at once. Implemented tactics include gradient-based optimization, Markov chain Monte Carlo, variational inference, and sequental Monte Carlo techniques. Inference metaprogramming enables the concise expression of probabilistic models and inference algorithms across diverse fields, such as computer vision, data science, and robotics, within a single probabilistic programming language.

关键词： Probabilistic programming Semantics Inference

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