Name
Abstract | ||
|---|---|---|
Reproducibility in the sciences is critical to reliable inquiry, but is often easier said than done. In the computer architecture community, research may require modifying systems from low-level circuits to operating systems and high-level applications. All of these moving parts make reproducible experiments on full-stack systems challenging to design. Furthermore, the computing ecosystem evolves ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPASS51385.2021.00052 | 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
Keywords | DocType | ISBN |
Operating systems,Tools,Software,Reproducibility of results,Hardware,Complexity theory,Software reliability | Conference | 978-1-7281-8643-6 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathan Pemberton | 1 | 12 | 2.22 |
| Alon Amid | 2 | 16 | 3.66 |