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共 567 条记录，以下是111-120 订阅

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P: Safe Asynchronous Event-Driven programming

P: Safe Asynchronous Event-Driven Programming

引用

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

作者： Desai, Ankush Gupta, Vivek Jackson, Ethan Qadeer, Shaz Rajamani, Sriram Zufferey, Damien Microsoft Corp Redmond WA 98052 USA

ISBN: (纸本)9781450320146

We describe the design and implementation of P, a domain-specific language to write asynchronous event driven code. P allows the programmer to specify the system as a collection of interacting state machines, which communicate with each other using events. P unifies modeling and programming into one activity for the programmer. Not only can a P program be compiled into executable code, but it can also be tested using model checking techniques. P allows the programmer to specify the environment, used to "close" the system during testing, as nondeterministic ghost machines. Ghost machines are erased during compilation to executable code;a type system ensures that the erasure is semantics preserving. The P language is designed so that a P program can be checked for responsiveness-the ability to handle every event in a timely manner. By default, a machine needs to handle every event that arrives in every state. But handling every event in every state is impractical. The language provides a notion of deferred events where the programmer can annotate when she wants to delay processing an event. The default safety checker looks for presence of unhandled events. The language also provides default liveness checks that an event cannot be potentially deferred forever. P was used to implement and verify the core of the USB device driver stack that ships with Microsoft Windows 8. The resulting driver is more reliable and performs better than its prior incarnation (which did not use P);we have more confidence in the robustness of its design due to the language abstractions and verification provided by P.

关键词： domain-specific language device driver event-driven programming state machine verification systematic testing

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Recursion Synthesis with Unrealizability Witnesses 2022

Recursion Synthesis with Unrealizability Witnesses

引用

43rd acm sigplan International conference on programming language design and implementation (pldi)

作者： Farzan, Azadeh Lette, Danya Nicolet, Victor Univ Toronto Dept Comp Sci Toronto ON Canada

ISBN: (纸本)9781450392655

We propose SE(2)GIS, a novel inductive recursion synthesis approach with the ability to both synthesize code and declare a problem unsolvable. SE(2)GIS combines a symbolic variant of counterexample-guided inductive synthesis (CEGIS) with a new dual inductive procedure, which focuses on proving a synthesis problem unsolvable rather than finding a solution for it. A vital component of this procedure is a new algorithm that produces a witness, a set of concrete assignments to relevant variables, as a proof that the synthesis instance is not solvable. Witnesses in the dual inductive procedure play the same role that solutions do in classic CEGIS;that is, they ensure progress. Given a reference function, invariants on the input recursive data types, and a target family of recursive functions, SE(2)GIS synthesizes an implementation in this family that is equivalent to the reference implementation, or declares the problem unsolvable and produces a witness for it. We demonstrate that SE(2)GIS is effective in both cases;that is, for interesting data types with complex invariants, it can synthesize non-trivial recursive functions or output witnesses that contain useful feedback for the user.

关键词： Program Synthesis Functional programming Invariants Unrealizability Recursion Abstraction

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Automated Clustering and Program Repair for Introductory programming Assignments 2018

Automated Clustering and Program Repair for Introductory Pro...

引用

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

作者： Gulwani, Sumit Radicek, Ivan Zuleger, Florian Microsoft Corp Redmond WA 98052 USA TU Wien Vienna Austria

ISBN: (纸本)9781450356985

Providing feedback on programming assignments is a tedious task for the instructor, and even impossible in large Massive Open Online Courses with thousands of students. Previous research has suggested that program repair techniques can be used to generate feedback in programming education. In this paper, we present a novel fully automated program repair algorithm for introductory programming assignments. The key idea of the technique, which enables automation and scalability, is to use the existing correct student solutions to repair the incorrect attempts. We evaluate the approach in two experiments: (I) We evaluate the number, size and quality of the generated repairs on 4,293 incorrect student attempts from an existing MOOC. We find that our approach can repair 97% of student attempts, while 81% of those are small repairs of good quality. (II) We conduct a preliminary user study on performance and repair usefulness in an interactive teaching setting. We obtain promising initial results (the average usefulness grade 3.4 on a scale from 1 to 5), and conclude that our approach can be used in an interactive setting.

关键词： programming education MOOC dynamic analysis program repair clustering

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Profile- Guided Meta-programming 15

Profile- Guided Meta-Programming

引用

36th acm sigplan conference on programming language design and implementation

作者： Bowman, William J. Miller, Swaha St-Amour, Vincent Dybvig, R. Kent Northeastern Univ Boston MA 02115 USA Cisco Syst Inc San Jose CA USA

ISBN: (纸本)9781450334686

Contemporary compiler systems such as GCC,. NET, and LLVM incorporate profile-guided optimizations (PGOs) on low-level intermediate code and basic blocks, with impressive results over purely static heuristics. Recent work shows that profile information is also useful for performing source-to-source optimizations via meta-programming. For example, using profiling information to inform decisions about data structures and algorithms can potentially lead to asymptotic improvements in performance. We present a design for profile-guided meta-programming in a general-purpose meta-programming system. Our design is parametric over the particular profiler and meta-programming system. We implement this design in two different meta-programming systems-the syntactic extensions systems of Chez Scheme and Racket- and provide several profile-guided meta-programs as usability case studies.

关键词： design Performance languages Optimization profiling profile-guided optimization PGO meta-programming

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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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IRDL: An IR Definition language for SSA Compilers 2022

IRDL: An IR Definition Language for SSA Compilers

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43rd acm sigplan International conference on programming language design and implementation (pldi)

作者： Fehr, Mathieu Niu, Jeff Riddle, River Amini, Mehdi Su, Zhendong Grosser, Tobias Univ Edinburgh Edinburgh Midlothian Scotland Univ Waterloo Waterloo ON Canada Modular AI Seattle WA USA Google Mountain View CA USA Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9781450392655

designing compiler intermediate representations (IRs) is often a manual process that makes exploration and innovation in this space costly. Developers typically use general-purpose programming languages to design IRs. As a result, IR implementations are verbose, manual modifications are expensive, and designing tooling for the inspection or generation of IRs is impractical. While compilers relied historically on a few slowly evolving IRs, domain-specific optimizations and specialized hardware motivate compilers to use and evolve many IRs. We facilitate the implementation of SSA-based IRs by introducing IRDL, a domain-specific language to define IRs. We analyze all 28 domain-specific IRs developed as part of LLVM's MLIR project over the last two years and demonstrate how to express these IRs exclusively in IRDL while only rarely falling back to IRDL's support for generic C++ extensions. By enabling the concise and explicit specification of IRs, we provide foundations for developing effective tooling to automate the compiler construction process.

关键词： Compilers Intermediate Representation MLIR

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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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Effective static race detection for Java 06

Effective static race detection for Java

引用

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

作者： Naik, Mayur Aiken, Alex Whaley, John Computer Science Department Stanford University United States

ISBN: (纸本)1595933743

We present a novel technique for static race detection in Java programs, comprised of a series of stages that employ a combination of static analyses to successively reduce the pairs of memory accesses potentially involved in a race. We have implemented our technique and applied it to a suite of multi-threaded Java programs. Our experiments show that it is precise, scalable, and useful, reporting tens to hundreds of serious and previously unknown concurrency bugs in large, widely-used programs with few false alarms. Copyright © 2006 acm.

关键词： Java programming language

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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...

引用

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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Facile: A language and compiler for high-performance processor simulators 01

Facile: A language and compiler for high-performance process...

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

作者： Schnarr, EC Hill, MD Larus, JR QUIQ Inc Madison WI 53711 USA Univ Wisconsin Madison WI 53706 USA Microsoft Corp Res Redmond WA 98052 USA

ISBN: (纸本)9781581134148

Architectural simulators are essential tools for computer architecture and systems research and development. Simulators, however, are becoming frustratingly slow, because they must now model increasingly complex micro-architectures running realistic workloads. Previously, we developed a technique called fast-forwarding, which applied partial evaluation and memoization to improve the performance of detailed architectural simulations by as much as an order of magnitude [14]. While writing a detailed processor simulator is difficult, implementing fast-forwarding is even more complex. This paper describes Facile, a domain-specific language for writing detailed, accurate micro-architecture simulators. Architectural descriptions written in Facile can be compiled, using partial evaluation techniques, into fast-forwarding simulators that achieve significant performance improvements with far less programmer effort. Facile and its compiler make this performance-enhancing technique accessible to computer architects.

关键词： micro-architecture simulation out-of-order processor simulation memoization and partial evaluation

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