Experience with multiple processor versions of Concurrent C

Cmelik, Robert F.; Gehani, Narain; Roome, William D.

doi:10.1109/32.21761

Cited by 16 publications

(6 citation statements)

References 4 publications

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“…With Concurrent C/C++ having been ported to a SM multiprocessor [17], we decided that it was necessary to provide explicit facilities for controlling access to shared memory. We felt that using the approaches mentioned above was not appropriate for "heavy duty" use.…”

Section: Motivationmentioning

confidence: 99%

Capsules: a shared memory access mechanism for Concurrent C/C++

Gehani

1993

IEEE Trans. Parallel Distrib. Syst.

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Absfract-Concurrent C/C++ is a superset of C and C++ that provides parallel programming facilities based on message passing. Upon porting Concurrent C/C++ to a shared memory multiprocessor, we felt it would be appropriate to supplement Concurrent C/C++ with explicit facilities for synchronizing accesses to shared data structures.The capsule is a shared memory access mechanism designed especially for Concurrent C/C++ to match the C++ data abstraction facility called the class. Capsules are like monitors but they have significant advantages. Capsules satisfy Bloom's criteria for expressiveness of synchronization conditions, support inheritance, allow operations to execute in parallel, and permit them to time out. Although many concepts used in capsules have been suggested elsewhere, they are synthesized in a way which offers many advantages over classical shared memory mechanisms. In this paper, I will motivate the design of capsules, briefly review and evaluate existing shared memory mechanisms, describe capsules, give examples of capsules, compare capsules with monitors, and discuss how capsules are implemented by the Concurrent C compiler.

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Section: Motivationmentioning

confidence: 99%

Capsules: a shared memory access mechanism for Concurrent C/C++

Gehani

1993

IEEE Trans. Parallel Distrib. Syst.

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“…t We are grateful to Bjarne Stroustrup for giving us the source for the C + + preprocessor. 3. In Concurrent C + + implementations that support shared memory, reference types can be used for transaction and process argument types, and as transaction return-value types.…”

Section: Class Variables Can Be Used In Process Bodies T H E Construmentioning

confidence: 99%

Concurrent C++: Concurrent programming with class(es)

Gehani

Roome

1988

Softw Pract Exp

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C++ and Concurrent C are both upward‐compatible supersets of C that provide data abstraction and parallel programming facilities, respectively. Although data abstraction facilities are important for writing concurrent programs, we did not provide data abstraction facilities in Concurrent C because we did not want to duplicate the C++ research effort. Instead, we decided that we would eventually integrate C++ and Concurrent C facilities to produce a language with both data abstraction and parallel programming facilities, namely, Concurrent C++. Data abstraction and parallel programming facilities are orthogonal. Despite this, the merger of Concurrent C and C++ raised several integration issues. In this paper, we will give introductions to C++ and Concurrent C, give two examples illustrating the advantages of using data abstraction facilities in concurrent programs, and discuss issues in integrating C++ and Concurrent C to produce Concurrent C++.

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“…Several commercial and experimental languages for parallel programming and object-oriented programming are well developed and widely used. Some of those languages are Smalltalk [23], C++ [50][51][52][53][54][55][56] and Eiffel [41] in the object-oriented language side, and Concurrent C++ [17,21,22], Multilisp [25] and Concurrent C [58] on the parallel programming side. Also, there are several languages developed to support distributed programming.…”

Section: Introductionmentioning

confidence: 99%

Language concepts using dynamic and distributed objects

George

1991

Proceedings of the 19th Annual Conference on Computer Science - CSC '91

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This paper presents the new concepts of static and dynamic objects in the context of an object-oriented parallel programming language. Examples are used to illustrate those concepts and their usefulness to practical software development. Dynamic objects provide an abstraction of objects similar to processes that move from one node to another in a distributed system, or airplanes that traverse the air-space controlled by different air-traffic control towers. Dynamic objects are semi-persistent entities because the life time of an object can be spanned by several objects which are active sequentially or in parallel. A relation, ownership, is defined between static and dynamic objects. Two programming language constructs export and import are defined to facilitate changes in the ownership relation. This imposes a new control flow among the objects and uses copy-and-delete semantics. The new constructs are illustrated using practical problems.

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Experience with multiple processor versions of Concurrent C

Cited by 16 publications

References 4 publications

Capsules: a shared memory access mechanism for Concurrent C/C++

Capsules: a shared memory access mechanism for Concurrent C/C++

Concurrent C++: Concurrent programming with class(es)

Language concepts using dynamic and distributed objects

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