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Efficient and precise datarace detection for multithreaded object-oriented programs 02

Efficient and precise datarace detection for multithreaded o...

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Proceedings of the acm sigplan 2002 conference on programming language design and implementation

作者： Jong-Deok Choi Keunwoo Lee Alexey Loginov Robert O'Callahan Vivek Sarkar Manu Sridharan IBM T. J. Watson Research Center Univ. of Washington Univ. of Wisconsin - Madison MIT

ISBN: (纸本)9781581134636

We present a novel approach to dynamic datarace detection for multithreaded object-oriented programs. Past techniques for on-the-fly datarace detection either sacrificed precision for performance, leading to many false positive datarace reports, or maintained precision but incurred significant overheads in the range of 3x to 30x. In contrast, our approach results in very few false positives and runtime overhead in the 13% to 42% range, making it both efficient and precise. This performance improvement is the result of a unique combination of complementary static and dynamic optimization techniques.

关键词： debugging multithreaded programming synchronization race conditions object-oriented programming dataraces parallel programs static-dynamic co-analysis

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The implementation and evaluation of fusion and contraction in array languages 98

The implementation and evaluation of fusion and contraction ...

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

作者： E. Christopher Lewis Calvin Lin Lawrence Snyder University of Washington Seattle WA University of Texas Austin TX

ISBN: (纸本)9780897919876

Array languages such as Fortran 90, HPF and ZPL have many benefits in simplifying array-based computations and expressing data parallelism. However, they can suffer large performance penalties because they introduce intermediate arrays---both at the source level and during the compilation process---which increase memory usage and pollute the cache. Most compilers address this problem by simply scalarizing the array language and relying on a scalar language compiler to perform loop fusion and array contraction. We instead show that there are advantages to performing a form of loop fusion and array contraction at the array level. This paper describes this approach and explains its advantages. Experimental results show that our scheme typically yields runtime improvements of greater than 20% and sometimes up to 400%. In addition, it yields superior memory use when compared against commercial compilers and exhibits comparable memory use when compared with scalar languages. We also explore the interaction between these transformations and communication optimizations.

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pHluid: the design of a parallel functional language implementation on workstations 96

pHluid: the design of a parallel functional language impleme...

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Proceedings of the first acm sigplan international conference on Functional programming

作者： Cormac Flanagan Rishiyur S. Nikhil Rice University Department of Computer Science Houston Texas Digital Equipment Corp. Cambridge Research Laboratory One Kendall Square Bldg. 700 Cambridge Massachusetts

ISBN: (纸本)9780897917704

This paper describes the distributed memory implementation of a shared memory parallel functional language. The language is Id, an implicitly parallel, mostly functional language that is currently evolving into a dialect of Haskell. The target is a distributed memory machine, because we expect these to be the most widely available parallel platforms in the future. The difficult problem is to bridge the gap between the shared memory language model and the distributed memory machine model. The language model assumes that all data is uniformly accessible, whereas the machine has a severe memory hierarchy: a processor's access to remote memory (using explicit communication) is orders of magnitude slower than its access to local memory. Thus, avoiding communication is crucial for good performance. The Id language, and its general dataflow-inspierd compilation to multithreaded code are described elsewhere. In this paper, we focus on our new parallel runtime system and its features for avoiding communication and for tolerating its latency when necessary: multithreading, scheduling and load balancing; the distributed heap model and distributed coherent cacheing, and parallel garbage collection. We have completed the first implementation, and we present some preliminary performance mearsurements.

关键词： data flow parallel and distributed implementations garbage collection and run-time systems

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Communication Optimizations for Parallel Computing Using Data Access Information

Communication Optimizations for Parallel Computing Using Dat...

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Supercomputing conference

作者： M.C. Rinard Department of Computer Science University of California슠Santa Barbara Santa Barbara CA USA

Given the large communication overheads characteristic of modern parallel machines, optimizations that eliminate, hide or parallelize communication may improve the performance of parallel computations. This paper describes our experience automatically applying communication optimizations in the context of Jade, a portable, implicitly parallel programming language designed for exploiting task-level concurrency. Jade programmers start with a program written in a standard serial, imperative language, then use Jade constructs to declare how parts of the program access data. The Jade implementation uses this data access information to automatically extract the concurrency and apply communication optimizations. Jade implementations exist for both shared memory and message passing machines; each Jade implementation applies communication optimizations appropriate for the machine on which it runs. We present performance results for several Jade applications running on both a shared memory machine (the Stanford DASH machine) and a message passing machine (the Intel iPSC/860). We use these results to characterize the overall performance impact of the communication optimizations. For our application set replicating data for concurrent read access and improving the locality of the computation by placing tasks close to the data that they access are the most important optimizations. Broadcasting widely accessed data has a significant performance impact on one application; other optimizations such as concurrently fetching remote data and overlapping computation with communication have no effect.

关键词： Parallel processing Concurrent computing Message passing Parallel machines design optimization Context Parallel programming programming profession Data mining Broadcasting

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Practical program analysis using general purpose logic programming systems—a case study 96

Practical program analysis using general purpose logic progr...

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Proceedings of the acm sigplan 1996 conference on programming language design and implementation

作者： Steven Dawson C. R. Ramakrishnan David S. Warren SRI International 333 Ravenswood Ave. Menlo Park CA and Department of Computer Science SUNY at Stony Brook Stony Brook NY Department of Computer Science SUNY at Stony Brook Stony Brook NY

ISBN: (纸本)9780897917957

Many analysis problems can be cast in the form of evaluating minimal models of a logic program. Although such formulations are appealing due to their simplicity and declarativeness, they have not been widely used in practice because, either existing logic programming systems do not guarantee completeness, or those that do have been viewed as too inefficient for integration into a compiler. The objective of this paper is to re-examine this issue in the context of recent advances in implementation technologies of logic programming *** find that such declarative formulations can indeed be used in practical systems, when combined with the appropriate tool for evaluation. We use existing formulations of analysis problems --- groundness analysis of logic programs, and strictness analysis of functional programs --- in this case study, and the XSB system, a table-based logic programming system, as the evaluation tool of choice. We give experimental evidence that the resultant groundness and strictness analysis systems are practical in terms of both time and space. In terms of implementation effort, the analyzers took less than 2 man-weeks (in total), to develop, optimize and evaluate. The analyzer itself consists of about 100 lines of tabled Prolog code and the entire system, including the components to read and preprocess input programs and to collect the analysis results, consists of about 500 lines of code.

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Compiler support for garbage collection in a statically typed language 92

Compiler support for garbage collection in a statically type...

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Proceedings of the acm sigplan 1992 conference on programming language design and implementation

作者： Amer Diwan Eliot Moss Richard Hudson

ISBN: (纸本)9780897914758

We consider the problem of supporting compacting garbage collection in the presence of modern compiler optimizations. Since our collector may move any heap object, it must accurately locate, follow, and update all pointers and values derived from pointers. To assist the collector, we extend the compiler to emit tables describing live pointers, and values derived from pointers, at each program location where collection may occur. Significant results include identification of a number of problems posed by optimizations, solutions to those problems, a working compiler, and experimental data concerning table sizes, table compression, and time overhead of decoding tables during collection. While gc support can affect the code produced, our sample programs show no significant changes, the table sizes are a modest fraction of the size of the optimized code, and stack tracing is a small fraction of total gc time. Since the compiler enhancements are also modest, we conclude that the approach is practical.

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Adding trace matching with free variables to AspectJ 05

Adding trace matching with free variables to AspectJ

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Proceedings of the 20th annual acm sigplan conference on Object-oriented programming, systems, languages, and applications

作者： Chris Allan Pavel Avgustinov Aske Simon Christensen Laurie Hendren Sascha Kuzins Ondřej Lhoták Oege de Moor Damien Sereni Ganesh Sittampalam Julian Tibble University of Oxford United Kingdom University of Aarhus Denmark McGill University Montreal Canada

ISBN: (纸本)9781595930316

An aspect observes the execution of a base program; when certain actions occur, the aspect runs some extra code of its own. In the AspectJ language, the observations that an aspect can make are confined to the current action: it is not possible to directly observe the history of a ***, there have been several interesting proposals for new history-based language features, most notably by Douence et al. and by Walker and Viggers. In this paper, we present a new history-based language feature called tracematches that enables the programmer to trigger the execution of extra code by specifying a regular pattern of events in a computation trace. We have fully designed and implemented tracematches as a seamless extension of AspectJ.A key innovation in our tracematch approach is the introduction of free variables in the matching patterns. This enhancement enables a whole new class of applications in which events can be matched not only by the event kind, but also by the values associated with the free variables. We provide several examples of applications enabled by this *** introducing and motivating the idea of tracematches via examples, we present a detailed semantics of our language design, and we derive an implementation from that semantics. The implementation has been realised as an extension of the abc compiler for AspectJ.

关键词： program monitoring aspect-oriented programming

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Look up!: your future is in the cloud 13

Look up!: your future is in the cloud

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Proceedings of the 34th acm sigplan conference on programming language design and implementation

作者： James R. Larus Microsoft Research Redmond WA USA

ISBN: (纸本)9781450320146

The "Cloud" is a wonderfully expansive phrase used to denote computation and data storage centralized in a large datacenter and elastically accessed across a network. The concept is not new; web sites and business servers have run in datacenters for a long time. These, however, were specialized applications, outside of the mainstream of desktop programs. The past few years has seen enormous change as the mainstream shifts from a single computer to mobile devices and clusters of computers. Three factors are driving this change. 1) Mobile computing, where apps run on a size- and power-constrained device and would be far less interesting without backend systems to augment computation and storage capacity. 2) Big data, which uses clusters of computers to extract valuable information from vast amounts of unstructured data. 3) Inexpensive, elastic computing, pioneered by Amazon Web Services, which enables everyone to rapidly obtain and use many *** a researcher from the language and compiler community, I firmly believe this sea change is at heart a programming problem. Cloud computing is far different from the environment in which most of today's languages and tools were developed, and few programmers have mastered its complexity. New challenges include pervasive parallelism, partial failure, high and variable communication latency, and replication for reliability and throughput.

关键词： cloud computing distributed computing programming languages

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Practical data breakpoints: design and implementation 93

Practical data breakpoints: design and implementation

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Proceedings of the acm sigplan 1993 conference on programming language design and implementation

作者： Robert Wahbe Steven Lucco Susan L. Graham

ISBN: (纸本)9780897915984

A data breakpoint associates debugging actions with programmer-specified conditions on the memory state of an executing program. Data breakpoints provide a means for discovering program bugs that are tedious or impossible to isolate using control breakpoints alone. In practice, programmers rarely use data breakpoints, because they are either unimplemented or prohibitively slow in available debugging software. In this paper, we present the design and implementation of a practical data breakpoint facility.A data breakpoint facility must monitor all memory updates performed by the program being debugged. We implemented and evaluated two complementary techniques for reducing the overhead of monitoring memory updates. First, we checked write instructions by inserting checking code directly into the program being debugged. The checks use a segmented bitmap data structure that minimizes address lookup complexity. Second, we developed data flow algorithms that eliminate checks on some classes of write instructions but may increase the complexity of the remaining *** evaluated these techniques on the SPARC using the SPEC benchmarks. Checking each write instruction using a segmented bitmap achieved an average overhead of 42%. This overhead is independent of the number of breakpoints in use. Data flow analysis eliminated an average of 79% of the dynamic write checks. For scientific programs such the NAS kernels, analysis reduced write checks by a factor of ten or more. On the SPARC these optimizations reduced the average overhead to 25%.

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Object views: language support for intelligent object caching in parallel and distributed computations 99

Object views: language support for intelligent object cachin...

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Proceedings of the 14th acm sigplan conference on Object-oriented programming, systems, languages, and applications

作者： Ilya Lipkind Igor Pechtchanski Vijay Karamcheti Courant Institute of Mathematical Sciences New York University 715 Broadway 7th Floor New York NY

ISBN: (纸本)9781581132380

Object-based parallel and distributed applications are becoming increasingly popular, driven by the programmability advantages of component technology and a flat shared-object space. However, the flat shared-object space introduces a performance challenge: applications that rely on the transparent coherent caching of objects achieve high performance only on tightly coupled parallel machines. In distributed environments, the overheads of object caching force application designers to choose other solutions. Consequently, most applications sacrifice programmability, relying instead on either the explicit coherence management of cached objects, or on vastly different middleware abstractions such as multicast and *** this paper, we describe object views — language support for efficient object caching in parallel and distributed computations. Object views specify restrictions on how computation threads can use an object, providing the underlying implementation with information about the potential side effects of object access, and thereby enabling construction of scalable, low-overhead caching protocols customized to application requirements. We present extensions to the Java programming language for expressing object views, and describe the design and implementation of a translator and run-time system for executing view-augmented Java programs on a distributed cluster of workstations. Experimental results based on a shared whiteboard application demonstrate that view-based object caching can achieve performance superior to multicast- and event-based implementations, while retaining essentially a shared object interface.

关键词： object representation distributed objects object caching views collaborative applications shared objects Java

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