Name
Abstract | ||
|---|---|---|
The computational demands of modern AI techniques are immense, and as the number of practical applications grows, there will be an increasing burden on shared computing infrastructure. We envision a forthcoming era of "AI Systems" research where reducing resource consumption, reasoning about transient resource availability, trading off resource consumption for accuracy, and managing contention on specialized hardware will become the community's main research focus. This paper overviews the history of AI systems research, a vision for the future, and the open challenges ahead.
|
Year | DOI | Field |
|---|---|---|
2019 | 10.1145/3352020.3352022 | Data science,Resource consumption,Computer science,Distributed computing |
DocType | Volume | Issue |
Journal | 53 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Krishnan | 1 | 391 | 36.25 |
| Aaron J. Elmore | 2 | 352 | 34.03 |
| Michael J. Franklin | 3 | 17423 | 1681.10 |
| Ioannis Paparrizos | 4 | 101 | 11.59 |
| Zechao Shang | 5 | 95 | 10.96 |
| Adam Dziedzic | 6 | 10 | 3.92 |
| Rui Liu | 7 | 84 | 7.43 |