Science Score: 57.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Arafat-Kabir
- License: mit
- Language: Verilog
- Default Branch: main
- Size: 258 KB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
PiCaSO : A Scalable and Fast PIM Overlay
Paper Abstract
The dominance of machine learning and the ending of Moore’s law have renewed interests in Processor in Mem- ory (PIM) architectures. This interest has produced several recent proposals to modify an FPGA’s BRAM architecture to form a next-generation PIM reconfigurable fabric. PIM architectures can also be realized within today’s FPGAs as overlays without the need to modify the underlying FPGA architecture. To date, there has been no study to understand the comparative advantages of the two approaches. In this work, we present a study that explores the comparative advantages between two proposed custom architectures and a PIM overlay running on a commodity FPGA. We created PiCaSO, a Processor in/near Memory Scalable and Fast Overlay architecture as a representative PIM overlay. The results of this study show that the PiCaSO overlay achieves up to 80% of the peak throughput of the custom designs with 2.56× shorter latency and 25% – 43% better BRAM memory utilization efficiency. We then show how several key features of the PiCaSO overlay can be integrated into the custom PIM designs to further improve their throughput by 18%, latency by 19.5%, and memory efficiency by 6.2%.
Publications
- MD Arafat Kabir, Ehsan Kabir, Joshua Hollis, Eli Levy-Mackay, Atiyehsadat Panahi, Jason Bakos, Miaoqing Huang, and David Andrews, "FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul?" The 33rd International Conference on Field-Programmable Logic and Applications (FPL 2023), pp. 1-7, September 2023. arXiv IEEE
- MD Arafat Kabir, Joshua Hollis, Atiyehsadat Panahi, Jason Bakos, Miaoqing Huang, and David Andrews, "Making BRAMs Compute: Creating Scalable Computational Memory Fabric Overlays," The 31st IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM 2023), pp. 1-1, May 2023. IEEE PDF
Directory Structure
- lib
- Contains the modules needed to implment the PiCaSO (PIM) block. The submodules are:
- alu
- Contains implementation of the bit-serial ALU and its submodules.
- network
- Contains implementation of the binary-hopping accumulation network and its submodules.
- opmux
- Contians implementation of the operand multiplexer and its submodules.
- regfile
- Contians implementation of the register file.
- tb
- Contains testbenches and configuration files needed to build Vivado projects for synthesis and implementation.
- work
- The workspace with a makefile to build and test different configurations of PiCaSO using iverilog and Vivado projects.
Requirements
To run the makefile commands under the "work" directory following tools are needed,
- iverilog
- Vivado 2022.2 or above (2019.2 might also work)
Acknowledgements
The development of PiCaSO is supported by National Science Foundation under
Grant No. 1955820.
Owner
- Name: MD Arafat Kabir
- Login: Arafat-Kabir
- Kind: user
- Website: http://turing.uark.edu/~makabir/
- Repositories: 2
- Profile: https://github.com/Arafat-Kabir
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'PiCaSO : A Scalable and Fast PIM Overlay'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: MD Arafat Kabir
email: arafat.sun@gmail.com
affiliation: University of Arkansas
orcid: 'https://orcid.org/0000-0002-9920-2985'
repository-code: 'https://github.com/Arafat-Kabir/PiCaSO'
license: MIT
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