A framework for reducing the cost of instrumented code

By Matthew Arnold, B. Ryder. ACM-SIGPLAN Symposium on Programming Language Design and Implementation, 2001

362 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/06ad8d3abe4a80c7eda784a2abe0f4ffaf609858

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Michael I. Jordan
2. A. Aiken
3. Alice X. Zheng
4. Ben Liblit
5. Y. Zhong
6. Chen Ding
7. Antonia Bertolino
8. Jan Peters

In Information Systems

1. Michael I. Jordan
2. Alice X. Zheng
3. Ben Liblit
4. A. Aiken
5. Y. Zhong
6. Chen Ding
7. Percy Liang
8. Zhendong Su

In Software

1. A. Aiken
2. Michael I. Jordan
3. Ben Liblit
4. Y. Zhong
5. Alice X. Zheng
6. Chen Ding

Citations in the corpus

• Bug isolation via remote program sampling (2003, methodology): “This code layout strategy is a variation on that used by Arnold and Ryder to reduce the cost of code instrumented for performance profiling [2].”
• Predicting whole-program locality through reuse distance analysis (2003, methodology): “To reduce the overhead of runtime analysis, Arnold and Ryder described a general framework for dynamic sampling [3], which Chilimbi and Hirzel extended to discover hot data streams to aid data prefetching [14].”