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Transputers are commonly used in low cost computation-intensive applications, such as image processing and signal analysis. Symbolic processing and AI applications on transputers require a different programming environment. This paper reports the effort made to implement BaLinda Lisp, a parallel Lisp dialect, on transputer arrays. BaLinda Lisp supports the FUTURE construct to initiate parallel execution threads, speculative constructs to spawn parallel tasks for results that may be required, and tuple space operations to enforce the proper communication, synchronization, mutual exclusion and shared variable access for parallel tasks. A suite of application programs has been tested on the resulting interpreter and some performance results are presented. The results demonstrate that the interpreter achieves realistic parallelism and provides a high speed symbolic processing environment on transputers. The implementation strategies are described in this paper, focusing on how to support the novel features of BaLinda Lisp. The advantages and disadvantages inherent in the transputer architecture that affect the design of the interpreter are also discussed.

In this paper, we apply market mechanism and agent to build grid resource management, where grid resource consumers and providers can buy and sell computing resource based on an underlying economic architecture. All market participants in the grid environment including computing resources and services can be represented as agents. Market participant is registered with a Grid Market Manager. A grid market participant can be a service agent that provides the actual grid service to the other market participants. Grid market participants communicate with each other by communication space that is an implementation of tuple space. In this paper, Grid agent model description is given. Then, the structure of Grid Market is described in detail. The design and implementation of agent oriented and market oriented grid resource management are presented in this paper.