Developing the APP for FPGA AMD Alveo™ U50.

Hi,

I am searching for someone to help me with the following project. I hope you can help me.

I need an APP optimized for Markov Chain Monte Carlo (MCMC) computations written in hardware description languages VHDL or Verilog for the AMD Alveo™ U50 Data Center Accelerator Card. The app should be as basic as possible, but it needs to outperform the top-performance CPUs such as Ryzen 9 7950x or IntelCore i9 14900K.

AMD Alveo™ U50 Data Center Accelerator Card
https://www.amd.com/en/products/accelerators/alveo/u50/a-u50-p00g-pq-g.html

The app will be used for mining (PoW) activities for the Matrix AI Network project: https://github.com/MatrixAINetwork/go-matrix/tree/master

From the MATRIX 1.0 White Paper, the recommended hardware for mining activities should focus on devices optimized for Markov Chain Monte Carlo (MCMC) computations. These computations are integral to the MATRIX blockchain's Proof-of-Work (PoW) mechanism and differ from traditional hash-based mining.
White paper link: https://docs.matrix.io/matrix-1.0


I wanted to provide some additional context about myself and my expectations for the project.

I’m a developer and system administrator with experience in JavaScript, Python, Bash, and working with command-line interfaces (CLI). The application you build will be for my personal use, and due to my limited budget, I’d like the solution to be simple and straightforward.


Functional Requirements for the Application

1. FPGA Integration
I will use a single AMD Alveo U50 FPGA for the initial phase.
The FPGA will be purchased and integrated into my existing home PC, with one FPGA allocated per desktop PC.

2. Compatibility
Ensure compatibility with the following desktop PC setup:
Motherboard: MSI MAG B650 TOMAHAWK
Processor: Ryzen 9 7950X

3. Mining Efficiency
The primary focus is to enhance Matrix AI Network mining performance.
No additional features or functionalities are required beyond performance optimization.

Relevant official resources for Matrix AI Network:
https://github.com/MatrixAINetwork/go-matrix?tab=readme-ov-file
https://docs.matrix.io/guides/create-mining-masternodes-in-ubuntu-linux-with-matrix-ai-network

My GitHub repository for miner deployment (may assist in development):
https://github.com/drMurlly/Matrix-Mining/tree/main

4. Performance Benchmark
The solution must significantly outperform high-end CPUs in mining efficiency, specifically:
Ryzen 9 7950X, Intel Core i9-14900KS
Based on the AMD Alveo U50 FPGA’s capabilities, I am aiming for at least 10x the mining performance of my current CPU-based setup.

5. Usability and Deployment
The application should be simple and straightforward, operated via CLI (Command Line Interface).
It will be used exclusively by me, a developer and system administrator with intermediate technical skills.

6. Budget and Scope
The solution must be cost-efficient, avoiding unnecessary complexity or over-engineering.


Best regards.
Thanks, Simon