![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"You Cannot Improve What You Do not Measure: FPGA vs. ASIC Efficiency Gaps ..."
Andrew Boutros, Sadegh Yazdanshenas, Vaughn Betz (2018)
- Andrew Boutros
, Sadegh Yazdanshenas
, Vaughn Betz:
You Cannot Improve What You Do not Measure: FPGA vs. ASIC Efficiency Gaps for Convolutional Neural Network Inference. ACM Trans. Reconfigurable Technol. Syst. 11(3): 20:1-20:23 (2018)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.