How to Use and Implement EVMONE – A Fast Ethereum Virtual Machine

Oct 13, 2024 | Blockchain

If you’re diving into the world of Ethereum development, you may come across evmone, a highly efficient Ethereum Virtual Machine (EVM) implementation created with excellence in mind. In this blog post, we’ll explore how to effectively use and implement evmone while troubleshooting any hiccups you might encounter along the way.

What is EVMONE?

EVMONE is a C++ implementation of the Ethereum Virtual Machine, designed to optimize execution speed and efficiency for smart contracts. It acts as a standalone module that can be incorporated into various Ethereum client projects, particularly as a plugin for geth.

Key Characteristics of EVMONE

  • Exposes the EVMC API.
  • Requires C++20 standard for compile-time compatibility.
  • Utilizes the intx library for 256-bit integer precision.
  • Employs the ethash library for the Keccak hash function essential for EVM operation.
  • Offers two interpreters: Baseline and Advanced.

Interpreters Explained

Think of the interpreters as two different chefs, each with their own cooking style:

  • Baseline Interpreter: A straightforward chef who knows the basic recipes well and performs them efficiently. They don’t get fancy but successfully prepare the dishes needed.
  • Advanced Interpreter: An expert chef who meticulously analyzes ingredients (bytecode) before cooking. They plan out the entire meal, considering costs and preparation techniques to create an exquisite dining experience.

Usage of EVMONE

To integrate EVMONE into an Ethereum project, follow these steps:

Using EVMONE as a Geth Plugin

  • Download EVMONE from the Releases page.
  • Start the modified version of geth with the following command:
  • geth --vm.evm=.libevmone.so

Building from Source

If you prefer to build evmone from the source, follow these steps:

  1. Clone the source code:
  2. git clone --recursive https://github.com/ethereum/evmone
  3. Configure the build:
    • Linux/Mac OS: cmake -S . -B build -DEVMONE_TESTING=ON
    • Windows: cmake -S . -B build -DEVMONE_TESTING=ON -G Visual Studio 16 2019 -A x64
  4. Build the project:
  5. cmake --build build --parallel
  6. Run the unit tests or benchmarking tools:
    • build/bin/evmone-unittests
    • build/bin/evmone-bench test-evm-benchmarks

Using EVMONE with Docker

You can also run EVMONE in a Docker container:

docker run --entrypoint evmone-bench ethereum/evmone src/test/benchmarks

Troubleshooting Tips

When working with evmone, you might encounter some challenges. Here are some troubleshooting tips:

  • If you’re having trouble building the project, make sure you’re using the correct version of CMake and that all dependencies are installed.
  • If you see errors during unit tests, double-check that you’ve set the DEVMONE_TESTING flag correctly.
  • For documentation, refer to the official GitHub page.

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Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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