Gayashan Amarasinghe

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False sharing is a major class of performance bugs in parallel applications. Detecting false sharing is difficult as it does not change the program semantics. We introduce an efficient and effective approach for detecting false sharing based on machine learning. We develop a set of mini-programs in which false sharing can be turned on and off. We then run(More)
BACKGROUND Nutritional status of pre adolescent children is not widely studied in Sri Lanka. The purpose of this study was to determine the nutritional status among pre-adolescent school children in a rural province of Sri Lanka. METHODS A school based cross sectional study was carried out in North Central Province in 100 rural schools, selected using(More)
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