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  1. Home
  2. IIT Gandhinagar
  3. Theses (PhD & Masters)
  4. Architecting fast and energy-efficient hardware accelerators for emerging ML workloads using hardware-software co-design
 
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Architecting fast and energy-efficient hardware accelerators for emerging ML workloads using hardware-software co-design

Source
Indian Institute of Technology, Gandhinagar
Date Issued
2024-01-01
Author(s)
Issac, Tom Glint
URI
https://d8.irins.org/handle/IITG2025/32003
Subjects
Deep Neural Networks (DNN)
Conventional Hardware Accelerators (CHA)
Processing In Memory (PIM)
Near Data Processors (NDP)
Artificial Intelligence
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