Included are MATLAB codes that run sample problems on the All-to-all, Nearest Neighbor, and Quantum Annealing topologies on the Purdue-P Coprocessor. Supporting image files are also included. Please  visit https://www.purdue.edu/p-bit/coprocessor-tool.html for more information on how to use the Purdue-P FPGA to accelerate p-circuit simulation.

This resource contains multiple documents for download. The Download link above will download a bundle of all documents as a zip archive file. To view a list of all documents click on the Supporting Docs tab.

If you are using the Purdue-P FPGA design or these codes to produce research work, please cite:

Sutton, B., Faria, R., Ghantasala, L. A., Camsari, K. Y., & Datta, S. (2019). Autonomous Probabilistic Coprocessing with Petaflips per Second. (July), 1–13. Retrieved from https://arxiv.org/pdf/1907.09664.pdf

Researchers should cite this work as follows:

• Sutton, B., Faria, R., Ghantasala, L. A., Camsari, K. Y., & Datta, S. (2019). Autonomous Probabilistic Coprocessing with Petaflips per Second. (July), 1–13. Retrieved from https://arxiv.org/pdf/1907.09664.pdf

• Lakshmi Anirudh Ghantasala, Brian Sutton, Kerem Yunus Camsari, Risi Kumar Jaiswal, Supriyo Datta (2020), "Starter Codes for Purdue-P Coprocessor," https://nanohub.org/resources/33337.

  BibTex | EndNote

1. FPGA
2. p-bits
3. probabilistic spin logic
4. purdue-p
5. spin logic