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Towards an implementation of differential dynamic logic in PVS 11

Towards an implementation of differential dynamic logic in P...

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11th acm sigplan International Workshop on the State Of the Art in Program Analysis, SOAP 2022, co-located with the 43rd acm sigplan International conference on programming language design and implementation, pldi 2022

作者： Slagel, J. Tanner Muñoz, César Balachandran, Swee Moscato, Mariano Dutle, Aaron Masci, Paolo White, Lauren Nasa Langley Research Center United States National Institute of Aerospace United States

ISBN: (纸本)9781450392747

This paper describes an ongoing effort to embed and verify differential dynamic logic (dL) in the Prototype Verification System (PVS). dL is a logic for specifying and formally reasoning about hybrid systems, i.e., systems that employ both continuous and discrete dynamics. There are several benefits of this effort. First, the embedding of dL in PVS offers an independent formal verification of the semantics and inference rules of dL. Second, the embedding is fully operational within PVS, giving PVS practitioners the ability to use dL in the formal specification and verification of hybrid systems. Third, the rich specification language, type system, and powerful interactive prover of PVS can be used on dL objects. In addition to the embedding and verification of dL, a custom extension for Visual Studio Code has been developed, so that a stylized dL syntax can be used to specify hybrid programs and their properties. © 2022 acm.

关键词： Hybrid systems

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Input Responsiveness: Using Canary Inputs to Dynamically Steer Approximation 16

Input Responsiveness: Using Canary Inputs to Dynamically Ste...

引用

37th acm sigplan conference on programming language design and implementation

作者： Laurenzano, Michael A. Hill, Parker Samadi, Mehrzad Mahlke, Scott Mars, Jason Tang, Lingjia Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA

ISBN: (纸本)9781450342612

This paper introduces Input Responsive Approximation ( IRA), an approach that uses a canary input - a small program input carefully constructed to capture the intrinsic properties of the original input - to automatically control how program approximation is applied on an input-by-input basis. Motivating this approach is the observation that many of the prior techniques focusing on choosing how to approximate arrive at conservative decisions by discounting substantial differences between inputs when applying approximation. The main challenges in overcoming this limitation lie in making the choice of how to approximate both effectively (e.g., the fastest approximation that meets a particular accuracy target) and rapidly for every input. With IRA, each time the approximate program is run, a canary input is constructed and used dynamically to quickly test a spectrum of approximation alternatives. Based on these runtime tests, the approximation that best fits the desired accuracy constraints is selected and applied to the full input to produce an approximate result. We use IRA to select and parameterize mixes of four approximation techniques from the literature for a range of 13 image processing, machine learning, and data mining applications. Our results demonstrate that IRA significantly outperforms prior approaches, delivering an average of 10.2x speedup over exact execution while minimizing accuracy losses in program outputs.

关键词： Performance Runtime Systems Compilers Approximate Computing Performance Experimentation design

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Toward Compositional Verification of Interruptible OS Kernels and Device Drivers 16

Toward Compositional Verification of Interruptible OS Kernel...

引用

37th acm sigplan conference on programming language design and implementation

作者： Chen, Hao Wu, Xiongnan (Newman) Shao, Zhong Lockerman, Joshua Gu, Ronghui Univ Elect Sci & Technol China UESTC Chengdu Peoples R China Yale Univ New Haven CT 06520 USA

ISBN: (纸本)9781450342612

An operating system (OS) kernel forms the lowest level of any system software stack. The correctness of the OS kernel is the basis for the correctness of the entire system. Recent efforts have demonstrated the feasibility of building formally verified general-purpose kernels, but it is unclear how to extend their work to verify the functional correctness of device drivers, due to the non-local effects of interrupts. In this paper, we present a novel compositional framework for building certified interruptible OS kernels with device drivers. We provide a general device model that can be instantiated with various hardware devices, and a realistic formal model of interrupts, which can be used to reason about interruptible code. We have realized this framework in the Coq proof assistant. To demonstrate the effectiveness of our new approach, we have successfully extended an existing verified non-interruptible kernel with our framework and turned it into an interruptible kernel with verified device drivers. To the best of our knowledge, this is the first verified interruptible operating system with device drivers.

关键词： Verification Reliability Security languages design Program Verification Certified OS Kernels Interrupts Device Drivers Abstraction Layer Modularity

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Evaluating Iterative Optimization Across 1000 Data Sets 10

Evaluating Iterative Optimization Across 1000 Data Sets

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acm sigplan conference on programming language design and implementation

作者： Chen, Yang Huang, Yuanjie Eeckhout, Lieven Fursin, Grigori Peng, Liang Temam, Olivier Wu, Chengyong Chinese Acad Sci ICT LCSA Key Lab Comp Syst & Architecture Beijing Peoples R China Chinese Acad Sci Grad Sch Beijing Peoples R China INRIA Saclay France Univ Ghent Ghent Belgium

ISBN: (纸本)9781450300193

While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the best compiler optimizations across data sets. Up to now, most iterative optimization studies find the best optimizations through repeated runs on the same data set. Only a handful of studies have attempted to exercise iterative optimization on a few tens of data sets. In this paper, we truly put iterative compilation to the test for the first time by evaluating its effectiveness across a large number of data sets. We therefore compose KDataSets, a data set suite with 1000 data sets for 32 programs, which we release to the public. We characterize the diversity of KDataSets, and subsequently use it to evaluate iterative optimization. We demonstrate that it is possible to derive a robust iterative optimization strategy across data sets: for all 32 programs, we find that there exists at least one combination of compiler optimizations that achieves 86% or more of the best possible speedup across all data sets using Intel's ICC (83% for GNU's GCC). This optimal combination is program-specific and yields speedups up to 1.71 on ICC and 2.23 on GCC over the highest optimization level (-fast and -03, respectively). This finding makes the task of optimizing programs across data sets much easier than previously anticipated, and it paves the way for the practical and reliable usage of iterative optimization. Finally, we derive pre-shipping and post-shipping optimization strategies for software vendors.

关键词： design Experimentation Measurement Performance

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SELECTIVE SPECIALIZATION FOR OBJECT-ORIENTED languageS 95

SELECTIVE SPECIALIZATION FOR OBJECT-ORIENTED LANGUAGES

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acm sigplan 95 conference on programming language design and implementation

作者： DEAN, J CHAMBERS, C GROVE, D Department of Computer Science and Engineering University of Washington Seattle WA

ISBN: (纸本)9780897916974

Dynamic dispatching is a major source of run-time overhead in object-oriented languages, due both to the direct cost of method lookup and to the indirect effect of preventing other optimizations. To reduce this overhead, optimizing compilers for object-oriented languages analyze the classes of objects stored in program variables, with the goal of bounding the possible classes of message receivers enough so that the compiler can uniquely determine the target of a message send at compile time and replace the message send with a direct procedure call. Specialization is one important technique for improving the precision of this static class information: by compiling multiple versions of a method, each applicable to a subset of the possible argument classes of the method, more precise static information about the classes of the method's arguments is obtained. Previous specialization strategies have not been selective about where this technique is applied, and therefore tended to significantly increase compile time and code space usage, particularly for large applications. In this paper, we present a more general framework for specialization in object-oriented languages and describe a goal-directed specialization algorithm that makes selective decisions to apply specialization to those cases where;it provides the highest benefit. Our results show that our algorithm improves the performance of a group of sizeable programs by 65% to 275% while increasing compiled code space requirements by only 4% to 10%. Moreover, when compared to the previous state-of-the-art specialization scheme, our algorithm improves performance by 11% to 67% while simultaneously reducing code space requirements by 65% to 73%.

关键词： Object oriented programming

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End-to-End Verification of Information-Flow Security for C and Assembly Programs 16

End-to-End Verification of Information-Flow Security for C a...

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37th acm sigplan conference on programming language design and implementation

作者： Costanzo, David Shao, Zhong Gu, Ronghui Yale Univ New Haven CT 06520 USA

ISBN: (纸本)9781450342612

Protecting the confidentiality of information manipulated by a computing system is one of the most important challenges facing today's cybersecurity community. A promising step toward conquering this challenge is to formally verify that the end-to-end behavior of the computing system really satisfies various information-flow policies. Unfortunately, because today's system software still consists of both C and assembly programs, the end-to-end verification necessarily requires that we not only prove the security properties of individual components, but also carefully preserve these properties through compilation and cross-language linking. In this paper, we present a novel methodology for formally verifying end-to-end security of a software system that consists of both C and assembly programs. We introduce a general definition of observation function that unifies the concepts of policy specification, state indistinguishability, and whole-execution behaviors. We show how to use different observation functions for different levels of abstraction, and how to link different security proofs across abstraction levels using a special kind of simulation that is guaranteed to preserve state indistinguishability. To demonstrate the effectiveness of our new methodology, we have successfully constructed an end-to-end security proof, fully formalized in the Coq proof assistant, of a nontrivial operating system kernel (running on an extended CompCert x86 assembly machine model). Some parts of the kernel are written in C and some are written in assembly;we verify all of the code, regardless of language.

关键词： Verification Security Reliability languages design Information Flow Control Security Policy Specification Security-Preserving Simulation Program Verification Certified OS Kernels

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Incremental analysis of real programming languages

Incremental analysis of real programming languages

引用

Proceedings of the 1997 acm SIGPLAM conference on programming language design and implementation, pldi

作者： Wagner, Tim A. Graham, Susan L. Univ of California Berkeley United States

A major research goal for compilers and environments is the automatic derivation of tools from formal specifications. However, the formal model of the language is often inadequate;in particular, LR(k) grammars are unable to describe the natural syntax of many languages, such as C++ and Fortran, which are inherently non-deterministic. designers of batch compilers work around such limitations by combining generated components with ad hoc techniques (for instance, performing partial type and scope analysis in tandem with parsing). Unfortunately, the complexity of incremental systems precludes the use of batch solutions. The inability to generate incremental tools for important languages inhibits the widespread use of language-rich interactive environments. We address this problem by extending the language model itself, introducing a program representation based on parse dags that is suitable for both batch and incremental analysis. Ambiguities unresolved by one stage are retained in this representation until further stages can complete the analysis, even if the resolution depends on further actions by the user. Representing ambiguity explicitly increases the number and variety of languages that can be analyzed incrementally using existing methods. To create this representation, we have developed an efficient incremental parser for general context-free grammars. Our algorithm combines Tomita's generalized LR parser with reuse of entire subtrees via state-matching. Disambiguation can occur statically, during or after parsing, or during semantic analysis (using existing incremental techniques);program errors that preclude disambiguation retain multiple interpretations indefinitely. Our representation and analyses gain efficiency by exploiting the local nature of ambiguities: for the SPEC95 C programs, the explicit representation of ambiguity requires only 0.5% additional space and less than 1% additional time during reconstruction.

关键词： Computer programming languages

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Compile-time dynamic voltage scaling settings: Opportunities and limits 03

引用

conference on programming language design and implementation

作者： Xie, F Martonosi, M Malik, S Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781581136623

With power-related concerns becoming dominant aspects of hardware and software design, significant research effort has been devoted towards system power minimization. Among run-time power-management techniques, dynamic voltage scaling (DVS) has emerged as an important approach, with the ability to provide significant power savings. DVS exploits the ability to control the power consumption by varying a processor's supply voltage (V) and clock frequency (f). DVS controls energy by scheduling different parts of the computation to different (V, f) pairs;the goal is to minimize energy while meeting performance needs. Although processors like the Intel XScale and Transmeta Crusoe allow software DVS control, such control has thus far largely been used at the process/task level under operating system control. This is mainly because the energy and time overhead for switching DVS modes is considered too large and difficult to manage within a single program. In this paper we explore the opportunities and limits of compile-time DVS scheduling. We derive an analytical model for the maximum energy savings that can be obtained using DVS given a few known program and processor parameters. We use this model to determine scenarios where energy consumption benefits from compile-time DVS and those where there is no benefit. The model helps us extrapolate the benefits of compile-time DVS into the future as processor parameters change. We then examine how much of these predicted benefits can actually be achieved through optimal settings of DVS modes. This is done by extending the existing Mixed-integer Linear Program (MILP) formulation for this problem by accurately accounting for DVS energy switching overhead, by providing finer-grained control on settings and by considering multiple data categories in the optimization. Overall, this research provides a comprehensive view of compile-time DVS management, providing both practical techniques for its immediate deployment as well theoretical

关键词： low power compiler dynamic voltage scaling Mixed-Integer Linear programming analytical model

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Garbage collection and local variable type-precision and liveness in JavaTM virtual machines

Garbage collection and local variable type-precision and liv...

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

作者： Agesen, Ole Detlefs, David Moss, J.Eliot B. Sun Microsystems Lab Chelmsford United States

Full precision in garbage collection implies retaining only those heap allocated objects that will actually be used in the future. Since full precision is not computable in general, garbage collectors use safe (i.e., conservative) approximations such as reachability from a set of root references. Ambiguous roots collectors (commonly called `conservative') can be overly conservative because they overestimate the root set, and thereby retain unexpectedly large amounts of garbage. We consider two more precise collection schemes for Java virtual machines (JVMs). One uses a type analysis to obtain a type-precise root set (only those variables that contain references);the other adds a live variable analysis to reduce the root set to only the live reference variables. Even with the Java programming language's strong typing, it turns out that the JVM specification has a feature that makes type-precise root sets difficult to compute. We explain the problem and ways in which it can be solved. Our experimental results include measurements of the costs of the type and liveness analyses at load time, of the incremental benefits at run time of the liveness analysis over the type analysis alone, and of various map sizes and counts. We find that the liveness analysis often produces little or no improvement in heap size, sometimes modest improvements, and occasionally the improvement is dramatic. While further study is in order, we conclude that the main benefit of the liveness analysis is preventing bad surprises.

关键词： Java programming language

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General framework for iteration-reordering loop transformations

General framework for iteration-reordering loop transformati...

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acm sigplan '92 conference on programming language design and implementation, pldi 1992

作者： Sarkar, Vivek Thekkath, Radhika IBM Palo Alto CA United States

ISBN: (纸本)0897914759

This paper describes a general framework for representing iteration-reordering transformations. These transformations can be both matrix-based and non-matrix-based. Transformations are defined by rules for mapping dependence vectors, rules for mapping loop bound expressions, and rules for creating new initialization statements. The framework is extensible, and can be used to represent any iteration-reordering transformation. Mapping rules for several common transformations are included in the paper.

关键词： Computer programming

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