Resource Monitoring for Poly/ML Processes

David Matthews, Magnus Stenqvist, and Tjark Weber. ACM SIGPLAN Workshop on ML, September 3, 2015, Vancouver, Canada, 2015.

Abstract

Application monitoring is invaluable to manage the performance of applications, understand their resource requirements and identify bottlenecks. We present a graphical monitoring tool for the Poly/ML run-time system, a popular implementation of Standard ML. This allows to gather and visualize detailed data showing the run-time behavior of Poly/ML applications, and thereby assists developers in understanding and improving the resource needs of such applications.

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BibTeX

@misc{matthews15resource,
  author       = {David Matthews and Magnus Stenqvist and Tjark Weber},
  title        = {Resource Monitoring for {Poly/ML} Processes},
  howpublished = {ACM SIGPLAN Workshop on ML, September~3, 2015, Vancouver, Canada},
  year         = {2015}
}