Data and code underlying the research of: SRIF-ADC for CIM accelerators

DOI:10.4121/08622fc8-fb07-4b1d-b875-c0be17962b01.v1
The DOI displayed 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: 10.4121/08622fc8-fb07-4b1d-b875-c0be17962b01
Datacite citation style:
Singh, Abhairaj (2024): Data and code underlying the research of: SRIF-ADC for CIM accelerators. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/08622fc8-fb07-4b1d-b875-c0be17962b01.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

141
views
69
downloads

Licence

CC0

This targets neuromorphic and general-purpose arithmetic applications. A scalable and reliable integrate and fire circuit ADC (SRIF-ADC) design for CIM architectures is presented, suitable for stringent power and area constraints. Techniques to stabilize the node receiving analog in-

puts are implemented that allow more rows to be activated at the same time, thereby improving the scalability in terms of higher parallelism of operations. A self-timed variation-aware design approach is introduced along with design measures to drastically reduce the read disturb of memristor devices. In addition, a compact, built-in sample-and-hold circuit to replace the typically used large-sized capacitance is present along with a built-in weighting technique to alleviate the need for post-processing when combining outputs of different bit significance. This dataset includes schematic netlist files, 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.

History

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

Publisher

4TU.ResearchData

Format

g-zipped shape files, pdfs, xlsx, mat

Funding

  • MNEMOSENE (grant code 780215) EC Horizon 2020 Research and Innovation

Organizations

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

DATA

Files (2)