dc.contributor.advisor |
Mekie, Joycee |
|
dc.contributor.author |
Biswas, Aditya |
|
dc.date.accessioned |
2022-08-31T10:59:37Z |
|
dc.date.available |
2022-08-31T10:59:37Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Biswas, Aditya (2022). SRAM based in memory computing for energy efficient hardware for AI. Gandhinagar: Indian Institute of Technology Gandhinagar, 61p. (Acc. No.: T00998). |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/8060 |
|
dc.description.statementofresponsibility |
by Aditya Biswas |
|
dc.format.extent |
xii, 61p.: hbk.; 30 cm. |
|
dc.language.iso |
en_US |
|
dc.publisher |
Indian Institute of Technology Gandhinagar |
|
dc.subject |
20250023 |
|
dc.subject |
Deep Neural Networks |
|
dc.subject |
Von-Neumann Bottleneck |
|
dc.subject |
Analog IMC |
|
dc.subject |
Physical unclonable function |
|
dc.subject |
CASH-RAM |
|
dc.title |
SRAM based in memory computing for energy efficient hardware for AI |
|
dc.type |
Thesis |
|
dc.contributor.department |
Electrical Engineering |
|
dc.description.degree |
M. Tech |
|