Meta Engineering Blog company blog
Making floating point math highly efficient for AI hardware
In recent years, compute-intensive artificial intelligence tasks have prompted creation of a wide variety of custom hardware to run these powerful new systems efficiently. Deep learning models, suc…
- Points
- 152
- HN comments
- 32
- Submissions
- 1
- Cited by
- 3 commenters
AI & Machine LearningHardware & Electronics2018
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Nov 9, 2018 | Making floating point math highly efficient for AI hardware by probdist | 152 | 32 |
Cited in comments
Linked from 4 Hacker News comments by 3 different people, from Nov 2018 to Jul 2019.
Most recent:
- rjeli · Jul 20, 2019
- mooman219 · Jul 9, 2019
- mooman219 · Jul 9, 2019
- scottlegrand2 · Nov 17, 2018
