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by Lu'is Paulo Santos, Alan Chalmers, Alberto Proenca
http://shiva.di.uminho.pt/~psantos/ARTICLES/smstpe94.ps
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Abstract:
Complex applications in distributed memory parallel systems often follows a demand driven approach with domain decomposition. An uniform data distribution among the local memories at the processing elements, may require frequent remote data access. To keep the processors busy while data is remotely fetched, concurrent application processes are assigned to each transputer based processing element. Adding more concurrent application processes in a large scale parallel system may degrade performance, due to the traffic increase with data requests and data block replies. A conditional broadcast mechanism is implemented during data requests, to limit this flow of messages. Monitoring strategies are proposed to further reduce the messages density, and a parameterized model to measure and evaluate global execution times is presented. Simulation data running the model with up to 35 transputers show that monitoring can reduce the performance degradation when more local concurrence is added. However, if too much data replication is present, the simulation data also show that the supply of communication services at each node still imposes a burden, requiring complementary monitoring strategies to allow removal of redundant reply messages.
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