Two approaches to the implementation of a distributed simulation system
Murali Krishnamurthi, Usha Chandrasekaran, Sallie V. Sheppard
Abstract
Open-access reader
Murali Krishnamurthi, Usha Chandrasekaran, Sallie V. Sheppard
Abstract
Open-access reader
This paper describes two approaches to the implementation of distributed simulation currently being pursued at Texas A&M University. The first approach describes the design and the implementation of a distributed simulation system onto a Motorola 68000 based architecture. This approach involves transparently distributing the language support functions of an existing simulation language (GASP) onto multiple processors. The second approach discusses the implementation of simulation support software in a high level distributed processing language. This approach involves the distribution of portions of the simulation model which can be executed in parallel onto multiple processors by the model builder. The paper discusses the details of both the approaches and the current status of their implementation.
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper describes two approaches to the implementation of distributed simulation currently being pursued at Texas A&M University. The first approach describes the design and the implementation of a distributed simulation system onto a Motorola 68000 based architecture. This approach involves transparently distributing the language support functions of an existing simulation language (GASP) onto multiple processors. The second approach discusses the implementation of simulation support software in a high level distributed processing language. This approach involves the distribution of portions of the simulation model which can be executed in parallel onto multiple processors by the model builder. The paper discusses the details of both the approaches and the current status of their implementation.
Key concepts: Computer science, Distributed computing