We present CONCURRIT, a domain-specific language (DSL) for reproducing concurrency bugs. Given some partial information about the nature of a bug in an application, a programmer can write a CONCURRIT script to formall...
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ISBN:
(纸本)9781450320146
We present CONCURRIT, a domain-specific language (DSL) for reproducing concurrency bugs. Given some partial information about the nature of a bug in an application, a programmer can write a CONCURRIT script to formally and concisely specify a set of thread schedules to explore in order to find a schedule exhibiting the bug. Further, the programmer can specify how these thread schedules should be searched to find a schedule that reproduces the bug. We implemented CONCURRIT as an embedded DSL in C++, which uses manual or automatic source instrumentation to partially control the scheduling of the software under test. Using CONCURRIT, we were able to write concise tests to reproduce concurrency bugs in a variety of benchmarks, including the Mozilla's Spider-Monkey JavaScript engine, Memcached, Apache's HTTP server, and MySQL.
Most high-performance dynamic language virtual machines duplicate language semantics in the interpreter, compiler, and runtime system. This violates the principle to not repeat yourself. In contrast, we define languag...
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ISBN:
(纸本)9781450349888
Most high-performance dynamic language virtual machines duplicate language semantics in the interpreter, compiler, and runtime system. This violates the principle to not repeat yourself. In contrast, we define languages solely by writing an interpreter. The interpreter performs specializations, e.g., augments the interpreted program with type information and profiling information. Compiled code is derived automatically using partial evaluation while incorporating these specializations. This makes partial evaluation practical in the context of dynamic languages: It reduces the size of the compiled code while still compiling all parts of an operation that are relevant for a particular program. When a speculation fails, execution transfers back to the interpreter, the program re-specializes in the interpreter, and later partial evaluation again transforms the new state of the interpreter to compiled code. We evaluate our approach by comparing our implementations of JavaScript, Ruby, and R with best-inclass specialized production implementations. Our general-purpose compilation system is competitive with production systems even when they have been heavily optimized for the one language they support. For our set of benchmarks, our speedup relative to the V8 JavaScript VM is 0.83x, relative to JRuby is 3.8x, and relative to GNU R is 5x.
The field of quantum algorithms is vibrant. Still, there is currently a lack of programminglanguages for describing quantum computation on a practical scale, i.e., not just at the level of toy problems. We address th...
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ISBN:
(纸本)9781450320146
The field of quantum algorithms is vibrant. Still, there is currently a lack of programminglanguages for describing quantum computation on a practical scale, i.e., not just at the level of toy problems. We address this issue by introducing Quipper, a scalable, expressive, functional, higher-order quantum programminglanguage. Quipper has been used to program a diverse set of non-trivial quantum algorithms, and can generate quantum gate representations using trillions of gates. It is geared towards a model of computation that uses a classical computer to control a quantum device, but is not dependent on any particular model of quantum hardware. Quipper has proven effective and easy to use, and opens the door towards using formal methods to analyze quantum algorithms.
We present a new method for automatically providing feedback for introductory programming problems. In order to use this method, we need a reference implementation of the assignment, and an error model consisting of p...
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ISBN:
(纸本)9781450320146
We present a new method for automatically providing feedback for introductory programming problems. In order to use this method, we need a reference implementation of the assignment, and an error model consisting of potential corrections to errors that students might make. Using this information, the system automatically derives minimal corrections to student's incorrect solutions, providing them with a measure of exactly how incorrect a given solution was, as well as feedback about what they did wrong. We introduce a simple language for describing error models in terms of correction rules, and formally define a rule-directed translation strategy that reduces the problem of finding minimal corrections in an incorrect program to the problem of synthesizing a correct program from a sketch. We have evaluated our system on thousands of real student attempts obtained from the Introduction to programming course at MIT (6.00) and MITx (6.00x). Our results show that relatively simple error models can correct on average 64% of all incorrect submissions in our benchmark set.
Region-based memory management systems structure memory by grouping objects in regions under program control. Memory is reclaimed by deleting regions, freeing all objects stored therein. Our compiler for C with region...
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ISBN:
(纸本)9781581134148
Region-based memory management systems structure memory by grouping objects in regions under program control. Memory is reclaimed by deleting regions, freeing all objects stored therein. Our compiler for C with regions, RC, prevents unsafe region deletions by keeping a count of references to each region. Using type annotations that make the structure of a program's regions more explicit, we reduce the overhead of reference counting from a maximum of 27% to a maximum of 11% on a suite of realistic benchmarks. We generalise these annotations in a region type system whose main novelty is the use of existentially quantified abstract regions to represent pointers to objects whose region is partially or totally unknown. A distribution of RC is available at http://***/(similar to)dgay/***. gz.
PADS is a declarative data description language that allows data analysts to describe both the physical layout of ad hoc data sources and semantic properties of that data. From such descriptions, the PADS compiler gen...
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PADS is a declarative data description language that allows data analysts to describe both the physical layout of ad hoc data sources and semantic properties of that data. From such descriptions, the PADS compiler generates libraries and tools for manipulating the data, including parsing routines, statistical profiling tools, translation programs to produce well-behaved formats such as XML or those required for loading relational databases, and tools for running XQueries over raw PADS data sources. The descriptions are concise enough to serve as "living" documentation while flexible enough to describe most of the ASCII, binary, and Cobol formats that we have seen in practice. The generated parsing library provides for robust, application-specific error handling.
We present a way to restrict recursive inheritance without sacrificing the benefits of F-bounded polymorphism. In particular, we distinguish two new concepts, materials and shapes, and demonstrate through a survey of ...
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ISBN:
(纸本)9781450327848
We present a way to restrict recursive inheritance without sacrificing the benefits of F-bounded polymorphism. In particular, we distinguish two new concepts, materials and shapes, and demonstrate through a survey of 13.5 million lines of open-source generic-Java code that these two concepts never actually overlap in practice. With this Material-Shape Separation, we prove that even naive type-checking algorithms are sound and complete, some of which address problems that were unsolvable even under the existing proposals for restricting inheritance. We illustrate how the simplicity of our design reflects the design intuitions employed by programmers and potentially enables new features coming into demand for upcoming programminglanguages.
We propose a new approach to adding objects to Standard ML (SML) based on explicit declarations of object types, object constructors, and subtyping relationships, with a generalization of the SML case statement to a &...
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ISBN:
(纸本)9780897917957
We propose a new approach to adding objects to Standard ML (SML) based on explicit declarations of object types, object constructors, and subtyping relationships, with a generalization of the SML case statement to a ''typecase'' on object types. The language, called Object ML (OML), has a type system that conservatively extends the SML type system, preserves sound static typing, and permits type inference. The type system sacrifices some of the expressiveness found in recently proposed schemes, but has the virtue of simplicity. We give examples of how features found in other object-oriented languages can be emulated in OML, discuss the formal properties of OML, and describe some implementation issues.
We present a new static analysis for race freedom and race detection. The analysis checks race freedom by reducing the problem to (rational) linear programming. Unlike conventional static analyses for race freedom or ...
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ISBN:
(纸本)9781595938602
We present a new static analysis for race freedom and race detection. The analysis checks race freedom by reducing the problem to (rational) linear programming. Unlike conventional static analyses for race freedom or race detection, our analysis avoids explicit computation of locksets and lock linearity/must-aliasness. Our analysis can handle a variety of synchronization idioms that more conventional approaches often have difficulties with, such as thread joining, semaphores, and signals. We achieve efficiency by utilizing modem linear programming solvers that can quickly solve large linear programming instances. This paper reports on the formal properties of the analysis and the experience with applying an implementation to real world C programs.
Pattern matching, an important feature of functional languages, is in conflict with data abstraction and extensibility, which are central to object-oriented languages. Modal abstraction offers an integration of deep p...
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ISBN:
(纸本)9781450320146
Pattern matching, an important feature of functional languages, is in conflict with data abstraction and extensibility, which are central to object-oriented languages. Modal abstraction offers an integration of deep pattern matching and convenient iteration abstractions into an object-oriented setting;however, because of data abstraction, it is challenging for a compiler to statically verify properties such as exhaustiveness. In this work, we extend modal abstraction in the JMatch language to support static, modular reasoning about exhaustiveness and redundancy. New matching specifications allow these properties to be checked using an SMT solver. We also introduce expressive pattern-matching constructs. Our evaluation shows that these new features enable more concise code and that the performance of checking exhaustiveness and redundancy is acceptable.
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