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Quantitive studies of data-locality sensitivity on the EARTH multithreaded architecture: preliminary results

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7 Author(s)
Xin-Min Tian ; IBM Toronto Lab., North York, Ont., Canada ; Nemawarkar, S. ; Gao, G.R. ; Hum, H.
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Multithreading has been promoted as an effective mechanism to hide inter-processor communications and remote data access latencies by quickly switching among a set of ready threads. In this paper, we show that multitreading provides an immunity to the performance variations due to changes in data distributions in a distributed-memory multiprocessor. First, toe propose two performance metrics to quantify the sensitivity of performance to data-locality. Second, we perform a quantitative comparison of data-locality sensitivity with both single-threaded and multithreaded computations. These experiments are performed on a 20-node EARTH-MANNA system. Our results show that not only does a multithreaded computation yields higher performance than the single-threaded version, but also that its performance is more robust (less affected) by variations in data-locality

Published in:

High Performance Computing, 1996. Proceedings. 3rd International Conference on

Date of Conference:

19-22 Dec 1996

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