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Declarative programming over Eventually Consistent Data Stores 15

Declarative Programming over Eventually Consistent Data Stor...

引用

36th acm sigplan conference on programming language design and implementation

作者： Sivaramakrishnan, K. C. Kaki, Gowtham Jagannathan, Suresh Univ Cambridge Cambridge CB2 1TN England Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450334686

User-facing online services utilize geo-distributed data stores to minimize latency and tolerate partial failures, with the intention of providing a fast, always-on experience. However, geo-distribution does not come for free;application developers have to contend with weak consistency behaviors, and the lack of abstractions to composably construct high-level replicated data types, necessitating the need for complex application logic and invariably exposing inconsistencies to the user. Some commercial distributed data stores and several academic proposals provide a lattice of consistency levels, with stronger consistency guarantees incurring increased latency and throughput costs. However, correctly assigning the right consistency level for an operation requires subtle reasoning and is often an error-prone task. In this paper, we present QUELEA, a declarative programming model for eventually consistent data stores (ECDS), equipped with a contract language, capable of specifying fine-grained application-level consistency properties. A contract enforcement system analyses contracts, and automatically generates the appropriate consistency protocol for the method protected by the contract. We describe an implementation of QUELEA on top of an off-the-shelf ECDS that provides support for coordination-free transactions. Several benchmarks including two large web applications, illustrate the effectiveness of our approach.

关键词： languages Performance Eventual Consistency Availability CRDTs Axiomatic Contracts Contract Classification Distributed Transactions SMT solvers Decidable Logic Quelea Cassandra Haskell

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CEAL: A C-Based language for Self-Adjusting Computation 09

CEAL: A C-Based Language for Self-Adjusting Computation

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acm sigplan conference on programming language design and implementation

作者： Hammer, Matthew A. Acar, Umut A. Chen, Yan Toyota Technol Inst Chicago Chicago IL USA

ISBN: (纸本)9781605583921

Self-adjusting computation offers a language-centric approach to writing programs that can automatically respond to modifications to their data (e.g., inputs). Except for several domain-specific implementations, however, all previous implementations of self-adjusting computation assume mostly functional, higher-order languages such as Standard ML. Prior to this work, it was not known if self-adjusting computation can be made to work with low-level, imperative languages such as C without placing undue burden on the programmer. We describe the design and implementation of CEAL: a C-based language for self-adjusting computation. The language is fully general and extends C with a small number of primitives to enable writing self-adjusting programs in a style similar to conventional C programs. We present efficient compilation techniques for translating CEAL programs into C that can be compiled with existing C compilers using primitives supplied by a run-time library for self-adjusting computation. We implement the proposed compiler and evaluate its effectiveness. Our experiments show that CEAL is effective in practice: compiled self-adjusting programs respond to small modifications to their data by orders of magnitude faster than recomputing from scratch while slowing down a from-scratch run by a moderate constant factor. Compared to previous work, we measure significant space and time improvements.

关键词： Self-adjusting computation compilation control and data flow dominators tail calls trampolines performance

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programming Ad-hoc Networks of mobile and resource-constrained devices

Programming Ad-hoc Networks of mobile and resource-constrain...

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conference on programming language design and implementation

作者： Ni, Y Kremer, U Stere, A Iftode, L Rutgers State Univ Dept Comp Sci Piscataway NJ 08854 USA

Ad-hoc networks of mobile devices such as smart phones and PDAs represent a new and exciting distributed system architecture. Building distributed applications on such an architecture poses new design challenges in programming models, languages, compilers, and runtime systems. This paper discusses SpatialViews, a high-level language designed for programming mobile devices connected through a wireless ad-hoc network. SpatialViews allows specification of virtual networks with nodes providing desired services and residing in interesting spaces. These nodes are discovered dynamically with user-specified time constraints and quality of result (QoR). The programming model supports "best-effort" semantics, i.e., different executions of the same program may result in "correct" answers of different quality. It is the responsibility of the compiler and runtime system to produce a high-quality answer for the particular network and resource conditions encountered during program execution. Four applications, which exercise different features of the SpatialViews language, are presented to demonstrate the expressiveness of the language and the efficiency of the compiler generated code. The applications are an application that collects and aggregates sensor data in network, an application that performs dynamic service installation, a mobile camera application that supports computation offloading for image understanding, and an augmented-reality (AR) Pacman game. The efficiency of the compiler generated code is verified through simulation and physical measurements. The reported results show that SpatialViews is an expressive and effective language for ad-hoc networks. In addition, compiler optimizations can significantly improve response times and energy consumption.

关键词： Ad-hoc Networks MANET location-awareness service discovery quality of result

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On the Principles of Differentiable Quantum programming languages 2020

On the Principles of Differentiable Quantum Programming Lang...

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

作者： Zhu, Shaopeng Hung, Shih-Han Chakrabarti, Shouvanik Wu, Xiaodi Univ Maryland College Pk MD 20742 USA

ISBN: (纸本)9781450376136

Variational Quantum Circuits (VQCs), or the so-called quantum neural-networks, are predicted to be one of the most important near-term quantum applications, not only because of their similar promises as classical neural-networks, but also because of their feasibility on near-term noisy intermediate-size quantum (NISQ) machines. The need for gradient information in the training procedure of VQC applications has stimulated the development of auto-differentiation techniques for quantum circuits. We propose the first formalization of this technique, not only in the context of quantum circuits but also for imperative quantum programs (e.g., with controls), inspired by the success of differentiable programming languages in classical machine learning. In particular, we overcome a few unique difficulties caused by exotic quantum features (such as quantum no-cloning) and provide a rigorous formulation of differentiation applied to bounded-loop imperative quantum programs, its code-transformation rules, as well as a sound logic to reason about their correctness. Moreover, we have implemented our code transformation in OCaml and demonstrated the resource-efficiency of our scheme both analytically and empirically. We also conduct a case study of training a VQC instance with controls, which shows the advantage of our scheme over existing auto-differentiation for quantum circuits without controls.

关键词： quantum programming languages differentiable programming languages quantum machine learning

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Profile-directed optimization of event-based programs 02

Profile-directed optimization of event-based programs

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

作者： Rajagopalan, Mohan Debray, Saumya K. Hiltunen, Matti A. Schlichting, Richard D. Department of Computer Science University of Arizona Tucson AZ 85721 United States

ISBN: (纸本)9781581134636

Events are used as a fundamental abstraction in programs ranging from graphical user interfaces (GUIs) to systems for building customized network protocols. While providing a flexible structuring and execution paradigm, events have the potentially serious drawback of extra execution overhead due to the indirection between modules that raise events and those that handle them. This paper describes an approach to addressing this issue using static optimization techniques. This approach, which exploits the underlying predictability often exhibited by event-based programs, is based on first profiling the program to identify commonly occurring event sequences. A variety of techniques that use the resulting profile information are then applied to the program to reduce the overheads associated with such mechanisms as indirect function calls and argument marshaling. In addition to describing the overall approach, experimental results are given that demonstrate the effectiveness of the techniques. These results are from event-based programs written for X Windows, a system for building GUIs, and Cactus, a system for constructing highly configurable distributed services and network protocols.

关键词： Computer programming

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A type-based compiler for standard ML 95

A type-based compiler for standard ML

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1995 acm sigplan conference on programming language design and implementation, pldi 1995

作者： Shao, Zhong Appelt, Andrew W. Yale University United States Princeton University United States

ISBN: (纸本)0897916972

Compile-time type information should be valuable in efficient compilation of statically typed functional languages such as Standard ML. But how should type-directed compilation work in real compilers, and how much performance gain will type-based optimization yield? In order to support more efficient data representations and gain more experience about type-directed compilation, we have implemented a new type-based middle end and back end for the Standard ML of New Jersey compiler. We describe the basic design of the new compiler, Identify a number of practical issues, and then compare the performance of our new compiler with the old non-type-based compiler. Our measurement shows that a combination of several simple type-based optimlzations reduces heap allocation by 36%: And improves the already-efficient code generated by the old non-type-based compiler by about 19% on a DECstation 5000. © 1995 acm.

关键词： Functional programming

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Proceedings of the acm sigplan Workshop on Memory Systems Performance and Correctness, MSPC 2013

Proceedings of the ACM SIGPLAN Workshop on Memory Systems Pe...

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acm sigplan Workshop on Memory Systems Performance and Correctness, MSPC 2013, co-located with the 34th annual acm sigplan conference on programming language design and implementation, pldi

ISBN: (纸本)9781450321037

The proceedings contain 12 papers. The topics discussed include: APE: accelerator processor extensions to optimize data-compute co-location;a study of data structures with a deep heap shape;introducing kernel-level page reuse for high performance computing;a low overhead method for recovering unused memory inside regions;software-controlled transparent management of heterogeneous memory resources in virtualized systems;program-centric cost models for locality;a new perspective on processing-in-memory architecture design;a coldness metric for cache optimization;all-window data liveness;software-level scheduling to exploit non-uniformly shared data cache on GPGPU;cache rationing for multicore;and analyzing locality of memory references in GPU architectures.

关键词： Data structures

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SEMCLUSTER: Clustering of Imperative programming Assignments Based on Quantitative Semantic Features 2019

SEMCLUSTER: Clustering of Imperative Programming Assignments...

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40th acm sigplan conference on programming language design and implementation (pldi) part of acm's Federated Computing Research conference (FCRC)

作者： Perry, David M. Kim, Dohyeong Samanta, Roopsha Zhang, Xiangyu Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450367127

A fundamental challenge in automated reasoning about programming assignments at scale is clustering student submissions based on their underlying algorithms. State-of-the-art clustering techniques are sensitive to control structure variations, cannot cluster buggy solutions with similar correct solutions, and either require expensive pair-wise program analyses or training efforts. We propose a novel technique that can cluster small imperative programs based on their algorithmic essence: (A) how the input space is partitioned into equivalence classes and (B) how the problem is uniquely addressed within individual equivalence classes. We capture these algorithmic aspects as two quantitative semantic program features that are merged into a program's vector representation. Programs are then clustered using their vector representations. The computation of our first semantic feature leverages model counting to identify the number of inputs belonging to an input equivalence class. The computation of our second semantic feature abstracts the program's data flow by tracking the number of occurrences of a unique pair of consecutive values of a variable during its lifetime. The comprehensive evaluation of our tool SemCluster on benchmarks drawn from solutions to small programming assignments shows that SemCluster (1) generates far fewer clusters than other clustering techniques, (2) precisely identifies distinct solution strategies, and (3) boosts the performance of clustering-based program repair, all within a reasonable amount of time.

关键词： Program clustering Program analysis Quantitative reasoning

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FlumeJava: Easy, Efficient Data-Parallel Pipelines 10

FlumeJava: Easy, Efficient Data-Parallel Pipelines

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acm sigplan conference on programming language design and implementation

作者： Chambers, Craig Raniwala, Ashish Perry, Frances Adams, Stephen Henry, Robert R. Bradshaw, Robert Weizenbaum, Nathan Google Seattle WA USA

ISBN: (纸本)9781450300193

MapReduce and similar systems significantly ease the task of writing data-parallel code. However, many real-world computations require a pipeline of Map Reduces, and programming and managing such pipelines can be difficult. We present Flume Java, a Java library that makes it easy to develop, test, and run efficient data-parallel pipelines. At the core of the Flume Java library are a couple of classes that represent immutable parallel collections, each supporting a modest number of operations for processing them in parallel. Parallel collections and their operations present a simple, high-level, uniform abstraction over different data representations and execution strategies. To enable parallel operations to run efficiently, Flume Java defers their evaluation, instead internally constructing an execution plan dataflow graph. When the final results of the parallel operations are eventually needed, Flume Java first optimizes the execution plan, and then executes the optimized operations on appropriate underlying primitives (e.g., Map Reduces). The combination of high-level abstractions for parallel data and computation, deferred evaluation and optimization, and efficient parallel primitives yields an easy-to-use system that approaches the efficiency of hand-optimized pipelines. Flume Java is in active use by hundreds of pipeline developers within Google.

关键词： data-parallel programming MapReduce Java

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Fine-grain multithreading with minimal compiler support - A cost effective approach to implementing efficient multithreading languages

Fine-grain multithreading with minimal compiler support - A ...

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sigplan 97 conference on programming language design and implementation

作者： Taura, K Yonezawa, A Univ of Tokyo Tokyo Japan

It is difficult to map the execution model of multithreading languages (languages which support fine-grain dynamic thread creation) onto the single stack execution model of C. Consequently, previous work on efficient multithreading uses elaborate frame formats and allocation strategy, with compilers customized for them. This paper presents an alternative cost-effective implementation strategy for multithreading languages which can maximally exploit current sequential C compilers. We identify a set of primitives whereby efficient dynamic thread creation and switch can be achieved and clarify implementation issues and solutions which work under the stack frame layout and calling conventions of current C compilers. The primitives are implemented as a C library and named StackThreads. In StackThreads, a thread creation is done just by a C procedure call, maximizing thread creation performance. When a procedure suspends an execution, the context of the procedure, which is roughly a stack frame of the procedure, is saved into heap and resumed later. With StackThreads, the compiler writer can straightforwardly translate sequential constructs of the source language into corresponding C statements or expressions, while using StackThreads primitives as a blackbox mechanism which switches execution between C procedures.

关键词： C (programming language)

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