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Communication performance optimisation requires minimising variance
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DOI：10.1016/S0167-739X(98)00089-2.png)
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The cost of communication in message-passing systems can only be computed based on a large number of low-level details. Consequently, the only architectural measure they naturally suggest is a frrst-order one, latency. We show that a second-order property, the standard deviation of the delivery times is also of interest. Most importantly, the average performance of a large communication system depends not only on the average performance of its components, but also on the standard deviation of these performances. In other words, building a high-performance system requires components that are themselves performing high-performance, but their performance must also have small variance. We illustrate this effect using distributions of the BSP g parameter. Lower bounds in the time per unit transfer of communication in large systems can be derived from data measured over single links. (C) 1999 Elsevier Science B.V. All rights reserved.
Keyword:
parallel programming
high-performance computing
communication performance
machine architecture
BSP
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