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Producer-consumer pipelining for structured-data in a fine-grain non-strict dataflow language on commodity machines

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3 Author(s)
Inenaga, K. ; Dept. of Intelligent Syst., Kyushu Univ., Fukuoka, Japan ; Kusakabe, S. ; Amamiya, M.

Fine-grain non-strict data structures such as I-structures provide high level abstraction to easily write programs with potentially high parallelism due to the eager evaluation of non-strict functions and non-strict structured-data. Non-strict data structures require frequent dynamic scheduling at a fine-grain level, which offsets the gain of latency hiding and asynchronous accesses to structured-data using non-strict data structures. These cause heavy overhead on commodity machines. In order to solve these problems for fine-grain non-strict structured-data, we employ a method to analyze dependencies between the structured-data and to schedule their producers and consumers. The performance evaluation results indicate that the scheduling technique is effective to improve the performance of fine-grain non-strict programs on commodity machines

Published in:

Innovative Architecture for Future Generation High-Performance Processors and Systems, 1999. International Workshop

Date of Conference:

Dec 2000