Остановите войну!
for scientists:
default search action
Joel S. Emer
- > Home > Persons > Joel S. Emer
Publications
- 2020
- [b2]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00638-8 - 2019
- [j25]Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 292-308 (2019) - [c72]Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer:
Timeloop: A Systematic Approach to DNN Accelerator Evaluation. ISPASS 2019: 304-315 - 2018
- [c68]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for machine learning: Challenges and opportunities. CICC 2018: 1-8 - [i6]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. CoRR abs/1807.07928 (2018) - 2017
- [j24]Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze:
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits 52(1): 127-138 (2017) - [j23]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators. IEEE Micro 37(3): 12-21 (2017) - [j22]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE 105(12): 2295-2329 (2017) - [c63]Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
A method to estimate the energy consumption of deep neural networks. ACSSC 2017: 1916-1920 - [c59]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper). ISCAS 2017: 1-4 - [i4]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR abs/1703.05853 (2017) - [i3]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR abs/1703.09039 (2017) - 2016
- [c55]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. ISCA 2016: 367-379 - [c54]Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze:
14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. ISSCC 2016: 262-263 - [i1]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for Machine Learning: Challenges and Opportunities. CoRR abs/1612.07625 (2016)
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.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-03-12 02:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint