Skip to main content

A package for estimating the energy and area of memories with CACTI

Project description

HWComponents-Cacti

This model connects CACTI to the HWComponents. It provides models for SRAM, DRAM, and caches. This is adapted from the Accelergy CACTI plug-in.

These models are for use with the HWComponents package, found at https://accelergy-project.github.io/hwcomponents/.

Installation

Install from PyPI:

pip install hwcomponents-cacti

# Check that the installation is successful
hwc --list | grep SRAM
hwc --list | grep DRAM
hwc --list | grep Cache

Citation

If you use this library in your work, please cite the following:

@misc{andrulis2024modelinganalogdigitalconverterenergyarea,
  title={Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design},
  author={Tanner Andrulis and Ruicong Chen and Hae-Seung Lee and Joel S. Emer and Vivienne Sze},
  year={2024},
  eprint={2404.06553},
  archivePrefix={arXiv},
  primaryClass={cs.AR},
  url={https://arxiv.org/abs/2404.06553},
}
@inproceedings{accelergy,
  author      = {Wu, Yannan Nellie and Emer, Joel S and Sze, Vivienne},
  booktitle   = {2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)},
  title       = {Accelergy: An architecture-level energy estimation methodology for accelerator designs},
  year        = {2019},
}
@article{shivakumar2001cacti,
  title={Cacti 3.0: An integrated cache timing, power, and area model},
  author={Shivakumar, Premkishore and Jouppi, Norman P},
  year={2001},
  publisher={Technical Report 2001/2, Compaq Computer Corporation}
}
@ARTICLE{wilton1996cacti,
  title={CACTI: an enhanced cache access and cycle time model},
  author={Wilton, S.J.E. and Jouppi, N.P.},
  journal={IEEE Journal of Solid-State Circuits},
  year={1996},
  volume={31},
  number={5},
  pages={677-688},
  keywords={Driver circuits;Costs;Decoding;Analytical models;Stacking;Delay estimation;Computer architecture;Equations;Councils;Wiring},
  doi={10.1109/4.509850}
}
@article{balasubramonian2017cacti,
  author = {Balasubramonian, Rajeev and Kahng, Andrew B. and Muralimanohar, Naveen and Shafiee, Ali and Srinivas, Vaishnav},
  title = {CACTI 7: New Tools for Interconnect Exploration in Innovative Off-Chip Memories},
  year = {2017},
  issue_date = {June 2017},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {14},
  number = {2},
  issn = {1544-3566},
  url = {https://doi.org/10.1145/3085572},
  doi = {10.1145/3085572},
  journal = {ACM Trans. Archit. Code Optim.},
  month = jun,
  articleno = {14},
  numpages = {25},
  keywords = {DRAM, Memory, NVM, interconnects, tools}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hwcomponents_cacti-1.0.18.tar.gz (210.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hwcomponents_cacti-1.0.18-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file hwcomponents_cacti-1.0.18.tar.gz.

File metadata

  • Download URL: hwcomponents_cacti-1.0.18.tar.gz
  • Upload date:
  • Size: 210.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hwcomponents_cacti-1.0.18.tar.gz
Algorithm Hash digest
SHA256 3769b111bd80efb624b071339f68f56e256251861e60ac95028071fc26952202
MD5 d67920ceaebaa96de9ab3119695518e5
BLAKE2b-256 9e07090cea5b3868570a710ea12cab3b548dac492911f548941c4302d235e4cc

See more details on using hashes here.

Provenance

The following attestation bundles were made for hwcomponents_cacti-1.0.18.tar.gz:

Publisher: publish.yaml on Accelergy-Project/hwcomponents-cacti

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hwcomponents_cacti-1.0.18-py3-none-any.whl.

File metadata

File hashes

Hashes for hwcomponents_cacti-1.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 7ec6c46831f61070dfec58f9d5b31ce6fe6053c9632f746b95be7260489a1814
MD5 fe7230afa71892823e0ed5230ce350b4
BLAKE2b-256 ab221c92da2409b780a99cdd32e126bad396a42e7d042d4b3cab36ebbf86650f

See more details on using hashes here.

Provenance

The following attestation bundles were made for hwcomponents_cacti-1.0.18-py3-none-any.whl:

Publisher: publish.yaml on Accelergy-Project/hwcomponents-cacti

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page