|
|
(5 intermediate revisions by one user not shown) |
Line 293: |
Line 293: |
| | | |
| == Energy Efficient ANN Hardware Implementation == | | == Energy Efficient ANN Hardware Implementation == |
| + | |
| + | {| style="border:2px solid #abd5f5; background:#f1f5fc;" |
| + | | |
| + | {| |
| + | |- valign=top |
| + | | width="100" |'''title''': |
| + | | width="550"|[[Media:Nojehdeh_Parvin_Altun_ANN_Implementation_with_MAC.pdf | Efficient Hardware Implementation of Convolution Layers Using Multiply-Accumulate Blocks]] |
| + | |- valign="top" |
| + | | '''authors''': |
| + | | Mohammadreza Nojehdeh, Sajjad Parvin, and [[Mustafa Altun]] |
| + | |- valign=top |
| + | | '''presented at''': |
| + | | [http://www.eng.ucy.ac.cy/theocharides/isvlsi21/ IEEE Computer Society Annual Symposium on VLSI (ISVLSI)], Tampa, USA, 2021. |
| + | |} |
| + | |
| + | | align=center width="70" | |
| + | <span class="plainlinks"> |
| + | [[File:PDF.png|65px|link=http://www.ecc.itu.edu.tr/images/4/41/Nojehdeh_Parvin_Altun_ANN_Implementation_with_MAC.pdf]]</span> |
| + | <br> |
| + | [[Media:Nojehdeh_Parvin_Altun_ANN_Implementation_with_MAC.pdf | Paper]] |
| + | | align="center" width="70" | |
| + | <span class="plainlinks"> |
| + | |
| + | [[File:PPT.jpg|60px|link=]] |
| + | </span> |
| + | <br> Slides |
| + | |} |
| + | |
| + | {| style="border:2px solid #abd5f5; background:#f1f5fc;" |
| + | | |
| + | {| |
| + | |- valign=top |
| + | | width="100" |'''title''': |
| + | | width="550"|[[Media:Parvin_Altun_Hardware_Aware_ANN_Training.pdf | A Study on Hardware-Aware Training Techniques for Feedforward Artificial Neural Networks]] |
| + | |- valign="top" |
| + | | '''authors''': |
| + | | Sajjad Parvin and [[Mustafa Altun]] |
| + | |- valign=top |
| + | | '''presented at''': |
| + | | [http://www.eng.ucy.ac.cy/theocharides/isvlsi21/ IEEE Computer Society Annual Symposium on VLSI (ISVLSI)], Tampa, USA, 2021. |
| + | |} |
| + | |
| + | | align=center width="70" | |
| + | <span class="plainlinks"> |
| + | [[File:PDF.png|65px|link=http://www.ecc.itu.edu.tr/images/9/95/Parvin_Altun_Hardware_Aware_ANN_Training.pdf]]</span> |
| + | <br> |
| + | [[Media:Parvin_Altun_Hardware_Aware_ANN_Training.pdf | Paper]] |
| + | | align="center" width="70" | |
| + | <span class="plainlinks"> |
| + | |
| + | [[File:PPT.jpg|60px|link=]] |
| + | </span> |
| + | <br> Slides |
| + | |} |
| | | |
| {| style="border:2px solid #abd5f5; background:#f1f5fc;" | | {| style="border:2px solid #abd5f5; background:#f1f5fc;" |
Line 1,041: |
Line 1,095: |
| | align=center width="70" | | | | align=center width="70" | |
| <span class="plainlinks"> | | <span class="plainlinks"> |
− | [[File:PDF.png|65px|link=http://www.ecc.itu.edu.tr/images/5/5c/Ordokhani_EtAl_SWCNT_Fabrication_with_Sonication.pdf]]</span> | + | [[File:PDF.png|65px|link=http://www.ecc.itu.edu.tr/images/5/5e/Ordokhani_EtAl_SWCNT_Fabrication_with_Sonication.pdf]]</span> |
| <br> | | <br> |
| [[Media:Ordokhani_EtAl_SWCNT_Fabrication_with_Sonication.pdf | Paper]] | | [[Media:Ordokhani_EtAl_SWCNT_Fabrication_with_Sonication.pdf | Paper]] |
Line 1,059: |
Line 1,113: |
| |- valign=top | | |- valign=top |
| | '''appeared in''': | | | '''appeared in''': |
− | | width="550"| [http://www.springer.com/journal/11664 Journal of Electronic Materials], early access, 2021. | + | | width="550"| [http://www.springer.com/journal/11664 Journal of Electronic Materials], Vol. 50, Issue 4, pp. 2466–2475, 2021. |
| |- valign=top | | |- valign=top |
| | '''presented at''': | | | '''presented at''': |