Name
Abstract | ||
|---|---|---|
Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier. Unlike in other domains, compiler and AI researchers do not have access to the datasets and frameworks that enable fast iteration and development of ideas, and getting started requires a significant engineering investment. What is needed is a... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/CGO53902.2022.9741258 | 2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) |
Keywords | DocType | ISSN |
Fault tolerance,Fault tolerant systems,Computer bugs,Production,Reproducibility of results,Computational efficiency,Artificial intelligence | Conference | 2164-2397 |
ISBN | Citations | PageRank |
978-1-6654-0584-3 | 0 | 0.34 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chris cummins | 1 | 54 | 4.55 |
| Bram Wasti | 2 | 0 | 0.34 |
| Jiadong Guo | 3 | 0 | 0.34 |
| Brandon Cui | 4 | 0 | 1.01 |
| Jason Ansel | 5 | 0 | 0.34 |
| Sahir Gomez | 6 | 0 | 0.34 |
| Somya Jain | 7 | 0 | 0.34 |
| Jia Liu | 8 | 0 | 0.34 |
| Olivier Teytaud | 9 | 0 | 0.34 |
| Benoit Steiner | 10 | 1486 | 49.38 |
| Yuandong Tian | 11 | 0 | 0.68 |
| Hugh Leather | 12 | 182 | 14.33 |