The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/e6614bef-e325-4555-b53c-1e236b8b23cd

Singh, Abhairaj (2024): Data and code underlying the research of: CCO-ADC for CIM Accelerators. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e6614bef-e325-4555-b53c-1e236b8b23cd.v1

Dataset

• Electrical and Electronic Engineering
• Engineering

adc, computation in memory, mnist

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Abhairaj Singh

This targets image classification applications. This work presents a memory-periphery co-design to perform accurate A/D conversions of analog matrix-vector-multiplication (MVM) outputs. A novel scheme is introduced where select-lines and bit-lines in the memory are virtu- ally fixed to improve conversion accuracy and aid a ring-oscillator-based A/D conversion, equipped with component sharing and inter-matching of the reference blocks. In addition, we deploy a self-timed technique to further ensure high robustness addressing global design and cycle-to-cycle variations. The concept is demonstrated using a 4Kb CIM chip prototype using resistive bitcells on TSMC 40nm CMOS technology. This dataset includes schematic netlist files, chip photos, raw data on the Excel sheets for latency and power estimations/simulation results, and Matlab codes for generating the graphs and figures in the associated publication.

• 2024-02-16 first online, published, posted

4TU.ResearchData

g-zipped shape files, pdfs, xlsx, mat

A 115.1 TOPS/W, 12.1 TOPS/mm2 Computation-in-Memory using Ring-Oscillator based ADC for Edge AI

• https://ieeexplore.ieee.org/document/9365769
• https://ieeexplore.ieee.org/document/9250531

• DAIS (grant code 101007273) DAIS

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Department of Computer Engineering