Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)
DOI: 10.1109/hpdc.1997.622360
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PARDIS: A parallel approach to CORBA

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Cited by 56 publications
(39 citation statements)
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“…This requires the identification of the group, and the specification of the distribution of parameters. The CORBA middleware was used for several experiments on group invocations [10,21,13]. Other frameworks are based on a strongly typed language such a Java: GMI [15] requires explicit management by the programmer, whereas ProActive Typed Groups [2] provide transparent asynchronous group invocations, but distribution strategies are not easily configurable.…”
Section: Related Workmentioning
confidence: 99%
“…This requires the identification of the group, and the specification of the distribution of parameters. The CORBA middleware was used for several experiments on group invocations [10,21,13]. Other frameworks are based on a strongly typed language such a Java: GMI [15] requires explicit management by the programmer, whereas ProActive Typed Groups [2] provide transparent asynchronous group invocations, but distribution strategies are not easily configurable.…”
Section: Related Workmentioning
confidence: 99%
“…One is that the framework must somehow obtain data distribution information for the sending and receiving of data objects. A logical approach, which has been used in the past (see Keahey and Gannon 1997), is to introduce such information into the interface definition. Research using Utah's SCIRun2 CCA framework extends the SIDL language with primitives for parallel data redistributions and also parallel remote method invocation.…”
Section: Framework-based M × Nmentioning
confidence: 99%
“…Their ''MxN Redistribution'' working group has been dealing with the issues of data redistribution when multiple parallel components are coupled together. The CU-MULVS MxN interface [26] from Oak Ridge National Laboratory, the PAWS environment [8] from Los Alamos National Laboratory and the PARDIS SPMD objects [28] from Indiana University work within the CCA to develop a parallel RPC standard. The main goals of these systems include providing interoperability between different components, building user interfaces for conveying information about the parallel data, developing communication schedules to communicate the data between different components and synchronizing data transfers.…”
Section: Related Workmentioning
confidence: 99%
“…Some of the parallel RPC systems [8,18,21,22,26,[28][29][30]35] are mainly concerned with providing robust and efficient interfaces for the service providers to integrate their parallel applications into the systems, and for the end users to remotely use these parallel services. In these systems the users or the service providers have to provide their own scheduling mechanisms if the resources for end application execution have to be dynamically chosen.…”
Section: Introductionmentioning
confidence: 99%