Statistically rigorous java performance evaluation

By Andy Georges, Dries Buytaert, Lieven Eeckhout. Conference on Object-Oriented Programming Systems, Languages, and Applications, 2007

665 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/3fcb3cc3aa4d419bf71078f8ed8e927705a0ab94

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

1. Amer Diwan
2. Todd Mytkowicz
3. Torsten Hoefler
4. Roberto Belli

In Hardware and Architecture

1. Todd Mytkowicz

Citations in the corpus

• Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results (2017, background): “We note that this is not limited to HPC, as many researchers identify similar shortcomings in other fields (cf. [20,32,36]).”
• Producing wrong data without doing anything obviously wrong! (2009, methodology): “Recent work in our field strongly highlights the absence of this practice in our area and advocates for the use of statistical rigor in software performance evaluation [7, 11].”