Feature-Specific Profiling
September 11, 2018 Β· Declared Dead Β· π ACM Transactions on Programming Languages and Systems
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Authors
Leif Andersen, Vincent St-Amour, Jan Vitek, Matthias Felleisen
arXiv ID
1809.04151
Category
cs.PL: Programming Languages
Cross-listed
cs.PF
Citations
17
Venue
ACM Transactions on Programming Languages and Systems
Last Checked
3 months ago
Abstract
While high-level languages come with significant readability and maintainability benefits, their performance remains difficult to predict. For example, programmers may unknowingly use language features inappropriately, which cause their programs to run slower than expected. To address this issue, we introduce feature-specific profiling, a technique that reports performance costs in terms of linguistic constructs. Feature-specific profilers help programmers find expensive uses of specific features of their language. We describe the architecture of a profiler that implements our approach, explain prototypes of the profiler for two languages with different characteristics and implementation strategies, and provide empirical evidence for the approach's general usefulness as a performance debugging tool.
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