Energy Efficient Machine Learning Hardware Co-design: Difference between revisions
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| Project Leader || Anastacia B. Alvarez, PhD | | Project Leader || Anastacia B. Alvarez, PhD | ||
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| | | Senior Technical Specialist || Sherry Joy Alvionne S. Baquiran | ||
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| rowspan=" | | rowspan="3" | Technical Specialist || Fredrick Angelo Galapon | ||
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| Allen Jason Tan | | Allen Jason Tan | ||
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| | |Lawrence Roman Quizon | ||
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| | | Administrative Officer || Maria Luz Limun | ||
|Patrick Jake Valdez | |- | ||
|Technical Aide | |||
|Patrick Jake Valdez [Y1Q1-Y1Q3] | |||
Andrei Gabriel Ay-ay [Y1-Q4] | |||
|- | |- | ||
| rowspan="3" | Project Staff || Ryan Albert Antonio | | rowspan="3" | Project Staff || Ryan Albert Antonio | ||
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| Rhandley D. Cajote, PhD | | Rhandley D. Cajote, PhD | ||
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| | | John Francis Chan | ||
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| rowspan="2" | Student Affiliate || Joenard Matanguihan | | rowspan="2" | Student Affiliate || Joenard Matanguihan | ||
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#Design and implementation of a proof-of-concept [[security module]] using physically unclonable functions (PUF) | #Design and implementation of a proof-of-concept [[security module]] using physically unclonable functions (PUF) | ||
==Resources== | ==Resources== | ||
*[[PSHS Internship 2023]] | |||
*Tutorials | *Tutorials | ||
*Scripts | *Scripts | ||
*Presentations | *Presentations | ||
*Papers | *Papers | ||
Latest revision as of 18:49, 28 June 2023
This component project of the CIDR program tackles the co-design of energy-efficient machine learning algorithms and hardware. Methodologies to integrate machine learning on-chip for distributed data processing, network lifespan improvement and security will be explored. These methodologies will likewise pave the way for automated hardware generation for the accelerator needed to perform these tasks.
Personnel
| Project Leader | Anastacia B. Alvarez, PhD |
| Senior Technical Specialist | Sherry Joy Alvionne S. Baquiran |
| Technical Specialist | Fredrick Angelo Galapon |
| Allen Jason Tan | |
| Lawrence Roman Quizon | |
| Administrative Officer | Maria Luz Limun |
| Technical Aide | Patrick Jake Valdez [Y1Q1-Y1Q3]
Andrei Gabriel Ay-ay [Y1-Q4] |
| Project Staff | Ryan Albert Antonio |
| Rhandley D. Cajote, PhD | |
| John Francis Chan | |
| Student Affiliate | Joenard Matanguihan |
| Randolf Tamayo |
Activities
The project will have four (4) major activities:
- Design and implementation WSN machine learning for clustering and routing
- ISA-optimization of RISC-V processor for machine learning
- Design, implementation, and verification of a proof-of-concept distributed learning in 28nm FDSOI CMOS technology.
- Design and implementation of a proof-of-concept security module using physically unclonable functions (PUF)
Resources
- PSHS Internship 2023
- Tutorials
- Scripts
- Presentations
- Papers