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Full project description, specifications, architecture, and implementation details are available at: https://drive.google.com/file/d/1h0KT03AcliuF-zdfoH5WrHe9L9oAnf2u/view?usp=sharing

Project Name: XPCAM – In-Memory Compute CAM for Binary Neural Networks

Design Team Identifier: XPCAM

Primary Contact Email: egarzonc@asig.com.ec Secondary Contact Email: eholguin@usfq.edu.ec

Active Design Team Members:

  • Joaquin Abad
  • Nicolas Yanchapaxi
  • David Mendoza
  • Ignacio Torres
  • Pablo Nuñez

Mentor(s): Esteban Garzon, Eduardo Holguín

Country: Ecuador

Design Type: Analog / Mixed Signal

Special I/O Requirements: N/A

RTL Completed: Not applicable (Fully Analog Design)

Logic Synthesis Completed: N/A

Place-and-Route Completed: N/A

Xschem Schematic Completed: No

Total I/O Pins: 14

  • 9 Digital
  • 1 Analog
  • 1 VDD
  • 1 GND
  • 1 VDDIO
  • 1 VSSIO

Estimated Core Area: 0.002 mm^2

Estimated Final Area: 2000 um^2 (≈ 0.002 mm^2)

Layout Completion: 10 / 10 (≈ 100%)

Digital Blocks in RTL: Not applicable

DRC & LVS Verified Blocks: All (as for LVS, only the individual blocks)

Digital Open-Source EDA Flow Familiarity:

The USFQ VLSI team presents previous background using open-source EDA tools and digital and analog design flows. The design team is already familiar with the SkyWater 130nm PDK and standard analog full-custom workflows.

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