A brief history of just-in-time
By John Aycock. CSUR, 2003
381 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/67ca507f42234ddce85d9936768b4800f029d752
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Per Larsen
- Noah D. Goodman
- Michael Franz
- Mathias Payer
- P. Hanrahan
- Stefan Brunthaler
- Nathan Burow
- Scott A. Carr
In Information Systems
- Per Larsen
- Noah D. Goodman
- Michael Franz
- Mathias Payer
- P. Hanrahan
- Stefan Brunthaler
- Nathan Burow
- Scott A. Carr
In Software
- Per Larsen
- Noah D. Goodman
- Michael Franz
- Mathias Payer
- P. Hanrahan
- Stefan Brunthaler
- Nathan Burow
- Scott A. Carr
Citations in the corpus
- Generating Efficient MCMC Kernels from Probabilistic Programs (2014, result): “The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA or the U.S. Government.”
- Control-Flow Integrity (2017, methodology): “…deployed, e.g., two major web browsers, Internet Explorer and Safari, rely on mixed-mode execution models that interpret code until it becomes “hot” enough for just-in-time compilation [Aycock 2003], and some Desktop software, too, is interpreted, e.g., Dropbox’ client is implemented in Python.”