This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
The last years have seen an increasing, albeit restricted simulation of large-scale networks on shared memory parallel platforms. As the complexity of communication protocols and ...
Developing and debugging parallel programs particularly for distributed memory architectures is still a difficult task. The most popular approach to developing parallel programs f...
A critical problem in wide-issue superscalar processors is the limit on cycle time imposed by the central register file and operand bypass network. In this paper, a distributed re...
Santithorn Bunchua, D. Scott Wills, Linda M. Wills
Service-based approaches (such as Web Services and the Open Grid Services Architecture) have gained considerable attention recently for supporting distributed application developme...
M. Nedim Alpdemir, Arijit Mukherjee, Norman W. Pat...