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Orca: A Language For Parallel Programming of Distributed Systems

IEEE Transactions on Software Engineering, 1992

Orca is a language for implementing parallel applications on loosely coupled distributed systems.... more Orca is a language for implementing parallel applications on loosely coupled distributed systems. Unlike most languages for distributed programming, it allows processes on different machines to share data. Such data are encapsulated in data-objects, which are instances of user-defined abstract data types. The implementation of Orca takes care of the physical distribution of objects among the local memories of the processors. In particular, an implementation may replicate and/or migrate objects in order to decrease access times to objects and increase parallelism. This paper gives a detailed description of the Orca language design and motivates the design choices. Orca is intended for applications programmers rather than systems programmers. This is reflected in its design goals to provide a simple, easy to use language that is type-secure and provides clean semantics. The paper discusses three example parallel applications in Orca, one of which is described in detail. It also describes one of the existing implementations, which is based on reliable broadcasting. Performance measurements of this system are given for three parallel applications. The measurements show that significant speedups can be obtained for all three applications. Finally, the paper compares Orca with several related languages and systems. † A preliminary version of this paper appeared in the proceedings of the First Usenix/SERC Workshop on Experiences with Building Distributed and Multiprocessor Systems, Ft. Lauderdale, Oct. 1989. * This research was supported in part by the Netherlands organization for scientific research (N.W.O.) under grant 125-30-10.

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Gynecologic oncology

Archives of Gynecology and Obstetrics, 2005

Distributed programming with shared data

Operating system primitives (e.g. problem-oriented shared memory, shared virtual memory, the Agor... more Operating system primitives (e.g. problem-oriented shared memory, shared virtual memory, the Agora shared memory) and languages (e.g. Concurrent Prolog, Linda, Emerald) for programming distributed systems have been proposed that support the shared-variable paradigm without the presence of physical shared memory. The authors look at the reasons for this evolution, the resemblances and differences among these proposals, and the key issues in their design and implementation. Many implementations are based on replication of data. The authors take this idea one step further, and discuss how automatic replication (initiated by the run-time system) can be used as a basis for a model, called the shared data-object model, whose semantics are similar to the shared variable model. They also discuss the design of a language for distributed programming, Orca, which is based on the shared-data-object model.>

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User-Level Network Interface Protocols

IEEE Computer, 1998

M odern high-speed local area networks offer great potential for communicationintensive applicati... more M odern high-speed local area networks offer great potential for communicationintensive applications, but their performance is limited by the use of traditional communication protocols, such as TCP/IP. In most cases, these protocols require that all network access be through the operating system, which adds significant overhead to both the transmission path (typically a system call and data copy) and the receive path (typically an interrupt, a system call, and a data copy). To address this performance problem, several user-level communication architectures have been developed that remove the operating system from the critical communication path. 1,2 In this article, we describe six important issues to consider in designing communication protocols for user-level architectures.

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An efficient reliable broadcast protocol

Operating Systems Review, 1989

Many distributed and parallel applications can make good use of broad- cast communication. In thi... more

Programming languages for distributed computing systems

ACM Computing Surveys, 1989

... Centrum uoor Wiskunde en Znformatica, Amsterdam, The Netherlands ANDREW S. TANENBAUM Departme... more

Inflammatory Cytokines in the BAL of Patients With ARDS: Persistent Elevation Over Time Predicts Poor Outcome

Chest, 1995

TN 38163. ratios were elevated for all measured cytokines, sug¬ gesting a pulmonary origin. On da... more TN 38163. ratios were elevated for all measured cytokines, sug¬ gesting a pulmonary origin. On day 1 of ARDS, nonsurvivors had significantly higher (p=0.04) BAL: plasma ratios for TNF-a, IL-lp, IL-6, and IL-8. Over time, BAL:plasma ratios for TNF-a, IL-ip and remained elevated in nonsurvivors and decreased in survivors.

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Programming distributed systems

... A number of people, including Frans Kaashoek, Arnold Geels, Erik Baalbergen, Dick Grune, and ... more

Implementing Distributed Algortihms using Remote Procedure Call

Remote Procedure Call (RPC) is a simple yet powerful primitive for communication and synchronizat... more Remote Procedure Call (RPC) is a simple yet powerful primitive for communication and synchronization between distributed processes. A problem with RPC is the fact that it tends to decrease the amount of parallelism in the application, due to its synchronous nature. This paper shows how light-weight processes can be used to circumvent this problem. The combination of blocking RPC calls

Orca: A Language For Parallel Programming of Distributed Systems

IEEE Transactions on Software Engineering, 1992

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Gynecologic oncology

Archives of Gynecology and Obstetrics, 2005

Distributed programming with shared data

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User-Level Network Interface Protocols

IEEE Computer, 1998

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An efficient reliable broadcast protocol

Operating Systems Review, 1989