We’ve studied several zkEVM projects in the previously published article , among which the representative of native-based zkEVM is what is being researched by the AppliedZKP team of the Ethereum Foundation. The text below will guide you through the circuit code of the AppliedZKP zkEVM. Exploring Popular zkEVM Solutions The code is still in the initial implementation, and many crates have not yet stabilized. Thus, all discussions in this article are subject to change in the future. Please always refer to the latest code if you are to do code development and code study. This text aims to provide an easy guide to the basic framework and logic of the AppliedZKP zkEVM code base. Hopefully, more developers will join us in the further research of zkEVM. Code Base Path Branch Commit_ID Date zkEVM-circuits https://github.com/appliedzkp/zkEVM-circuits main 39a7bf7b30e25faa7db26a3cb94640240164542d 2021-10-18 Code Structure In the current code, there are three crates, namely , , and . The relationship among the three is shown in the figure below: bus-mapping keccak256 zkevm-circuits Also in , we pointed out that Bus-mapping is the state channel of and in zkEVM. The devs organize the code in the way shown in the figure above. Let’s look at each crate in turn. Exploring Popular zkEVM Solutions evmcircuit statecircuit 1. bus-mapping The objectives of bus-mapping are: Analyzes EVM execution path Constructs witness data following complete execution path analysis Provides a simple interface to gather and put witness data in the circuit, and witness it with a small number of functions So the basic function is to process witness data, regardless of whether it is the path data executed by the EVM or the state data that changes before and after. Let's look at each crate in bus-mapping specifically. 1.1 EVM Basically, EVM defines , , , , and include and contains data infrustractures like , , and . It can be seen that and are encapsulation to ; is the encapsulation of the array with a length of 32. ProgramCounter GlobalCounter EVMWord GasInfo GasCost stack memory opcodes pc gc usize EVMWord u8 is usize, but Stack is a dynamic array of . is also usize, which should be between 0 and 1023 while Memory is an array of u8. Developers use Rust macro cleverly to extract key memory information, such as traits of index and range, and implement them in a unified way. Storage is a HashMap and its key values are all . StackAddress EVMWord MemoryAddress EVMWord The opcodes crate defines the opcode traits of stack, memory, and storage, as well as the implementation of parts of the opcode traits. pub trait Opcode: Debug {
    /// Generate the associated [`MemoryOp`](crate::operation::MemoryOp)s,
    /// [`StackOp`](crate::operation::StackOp)s, and
    /// [`StorageOp`](crate::operation::StorageOp)s associated to the Opcode
    /// is implemented for.
    fn gen_associated_ops(
        &self,
        exec_step: &mut ExecutionStep,
        container: &mut OperationContainer,
        next_steps: &[ExecutionStep],
    ) -> Result<usize, Error>;
} Let’s take as an example to see how the trait is implemented. Here is the implementation of go-ethereum. mload // core/vm/instructions.go
func opMload(pc *uint64, interpreter *EVMInterpreter, scope *ScopeContext) ([]byte, error) {
    v := scope.Stack.peek()
    offset := int64(v.Uint64())
    v.SetBytes(scope.Memory.GetPtr(offset, 32))
    return nil, nil
} There are three steps of mload:
1. Take the value of offset from the last position of the stack;
2. Take the value of bytes from memory;
3. Write bytes in the last position of the stack. of mload is to do these steps. For detailed code, please refer to
bus-mapping/src/EVM/opcodes/mload.rs. [offset, offset+32) gen_associated_ops 1.2 exec_trace This is the most important crate in bus-mapping, including , , and . contains some constants of EVM, such as , , etc. BlockConstants ExecutionTrace OperationRef BlockConstants coinbase timestamp is the core of bus-mapping, which is the interface form of witness. contains content used in every execution such as memory, stack, current instruction, and Operation-related . implements its own function, which can call the corresponding according to the current instruction. ExecutionTrace ExecutionStep bus_mapping_instance ExecutionStep gen_associated_ops gen_associated_ops pub struct ExecutionStep {
    pub(crate) memory: Memory,
    pub(crate) stack: Stack,
    pub(crate) instruction: OpcodeId,
    pub(crate) gas_info: GasInfo,
    pub(crate) depth: u8,
    pub(crate) pc: ProgramCounter,
    pub(crate) gc: GlobalCounter,
    // Holds refs to the container with the related mem ops.
    pub(crate) bus_mapping_instance: Vec<OperationRef>,
} include all steps executed, and container includes each operation used in Trace. The most critical function in this structure is build, which is used to set and generate a corresponding Operation for each step in the trace. ExecutionTrace gc pub struct ExecutionTrace<F: FieldExt> {
    steps: Vec<ExecutionStep>,
    block_ctants: BlockConstants<F>,
    container: OperationContainer,
} 1.3 operation The operation crate is relatively simple, defining , , , , , and , where is of two types, i.e., read and write, and includes Memory, Stack, and Storage. The encapsulation of Operation will specify what kind of Operation it is. RW Target MemoryOp StackOp StorageOp Operation RW Target 2. zkevm-circuits This crate requires the use of halo2 to implement the zkEVM circuits, which is also a more complex part of the implementation of zkEVM. It temporarily includes the following subcrates: , , , and . evm_circuit gadget state_circuit util 2.1 util and gadget is used for tool implementations, such as converting Rust's basic data types, such as , , etc., to the elements of a finite field. Util bool u8 defines the basic tool chip. For example, is a constraint check for 256 bit (or 32 bytes), is to determine whether it is 0, and checks whether the advice column increases monotonically within a range. The implementation of these chip circuits follows the general architectural design. For more details, please refer to our previous publication . Gadget evm_word is_zero monotone Develop Circuits Using Halo2 2.2 state_circuit In , there are state proof and evm proof. State proof is used to help evm proof check whether all random read, write, and access records are effective. The records of random read and write are generated by state_circuit. State_circuit defines BusMapping and Config. From , we can know that config is the most critical part to write the circuit of Halo2. It contains all the information on the lookup table needed for evm proof. zkEVM design specs Develop Circuits Using Halo2 Take the code comments in state_circuit as an example. is the selector, where 1 represents the first line of each target, 2 represents memory, 3 represents stack, and 4 represents storage. As we can see, state is grouped by address first, and then sorted by . Note that the address here is not the Ethereum address. For memory and stack, the address is the and mentioned in the previous section, namely usize, so the values in the example are 0 and 1. is the counter, which will count different addresses separately. Value is the operation value, and flag marks read and write, where 1 is write, and 0 is read. padding is used to fill the gap between each target and has no practical meaning. is exclusive to the storage operation, which is the key, and is the value of the previous value in this target, which is 0 at the beginning. q_target global_counter StackAddress MemoryAddress global_counter storage_key value_pre /*
Example state table:

| q_target | address | global_counter | value | flag | padding | storage_key | value_prev |
-------------------------------------------------------------------------------------------
|    1     |    0    |       0        |  0    |   1  |    0    |             |            |   // init row (write value 0)
|    2     |    0    |       12       |  12   |   1  |    0    |             |            |
|    2     |    0    |       24       |  12   |   0  |    0    |             |            |
|    2     |    1    |       0        |  0    |   1  |    0    |             |            |   // init row (write value 0)
|    2     |    1    |       2        |  12   |   0  |    0    |             |            |
|    2     |         |                |       |      |    1    |             |            |   // padding
|    2     |         |                |       |      |    1    |             |            |   // padding
|    1     |    0    |       3        |  4    |   1  |    0    |             |            |
|    3     |    0    |       17       |  32   |   1  |    0    |             |            |
|    3     |    0    |       89       |  32   |   0  |    0    |             |            |
|    3     |    1    |       48       |  32   |   1  |    0    |             |            |
|    3     |    1    |       49       |  32   |   0  |    0    |             |            |
|    3     |         |                |       |      |    1    |             |            |   // padding
|    1     |    1    |       55       |  32   |   1  |    0    |      5      |     0      |   // first storage op at the new address has to be write
|    4     |    1    |       56       |  33   |   1  |    0    |      8      |     32     |
|    4     |         |                |       |      |    1    |             |            |   // padding
*/ 2.3 evm_circuit The is the core of the entire projec, including the implementation of opcode, the definition of Constraint, the definition of EVM execution results, the element of each execution step (ExecutionStep), and the most important . evm_circuit EVMCircuit For example, in the definition of Constraint, the name serves as an annotation. When the selector is a success, the gadget's selector - polys are the Constraint’s polynomials, and lookups are the lookup tables used by the Constraint. In the Halo2 circuit instruction manual, the constraints interface function in the OpGadget trait is an array that returns Constraint. struct Constraint<F> {
    name: &'static str,
    selector: Expression<F>,
    polys: Vec<Expression<F>>,
    lookups: Vec<Lookup<F>>,
} Lookup is divided into two categories. First, , which an array of 3 s; second, , which is an enum containing , , , , etc. FixedLookup Expression BusMappingLookup OpExecutionState Stack Memory AccountStorage pub(crate) enum Lookup<F> {
    FixedLookup(FixedLookup, [Expression<F>; 3]),
    BusMappingLookup(BusMappingLookup<F>),
} The difference between and is that the former is used in the call of BusMappingLookup, and the latter is used in the OpExecutionState of BusMappingLookup. CallField CallStateField The structure includes constraint expressions, columns, and the offset used by the selector. Cell pub(crate) struct Cell<F> {
    // expression for constraint
    expression: Expression<F>,
    column: Column<Advice>,
    // relative position to selector for synthesis
    rotation: usize,
} A word is represented by one expression and is positioned by an array of 32 cells. struct Word<F> {
    // random linear combination expression of cells
    expression: Expression<F>,
    // inner cells for synthesis
    cells: [Cell<F>; 32],
} The structure, , is often used when writing opcode circuits and is used for context caching in the assign implementation in evm_circuit. CoreStateInstance pub(crate) struct CoreStateInstance {
    is_executing: bool,
    global_counter: usize,
    call_id: usize,
    program_counter: usize,
    stack_pointer: usize,
    gas_counter: usize,
} contains the opcode executed in this step, the execution result, and the value used. Although the name is the same as in the bus-mapping crate, its purpose and structure are different. ExecutionStep pub(crate) struct ExecutionStep {
    opcode: OpcodeId,
    case: Case,
    values: Vec<BigUint>,
} contains the selector, lookup table, read-write table, fixed table, and op execution gadget for each step. EVMCircuit struct EVMCircuit<F> {
    q_step: Selector,
    qs_byte_lookup: Column<Advice>,
    fixed_table: [Column<Fixed>; 4],
    rw_table: [Column<Advice>; 7],
    op_execution_gadget: OpExecutionGadget<F>,
} Currently, opcodes of , , , , , and have been implemented. We take add/sub as an example to explain . arithmetic byte comparator dup pop push how to write an op circuit First, define the data structure required by op (when the operation is successful), which is also the operation data of the op in most cases. When it fails, no other data is needed, we just need to handle the corresponding case. For the structure, the selector is used for activation in different cases. Because and are implemented together, swap is used to distinguish add or sub. a, b, c are used to represent the three values of the op operation, satisfying a + b == c. When sub, a + c == b. AddSuccessAllocation ADD SUB struct AddSuccessAllocation<F> {
    selector: Cell<F>,
    swap: Cell<F>,
    a: Word<F>,
    b: Word<F>,
    c: Word<F>,
    carry: [Cell<F>; 32],
} Second, define the corresponding Gadget structure, mainly the results of the op in different cases. For add/sub, there are three states: , , and . success stackunderflow outofgas pub struct AddGadget<F> {
    success: AddSuccessAllocation<F>,
    stack_underflow: Cell<F>, // case selector
    out_of_gas: (
        Cell<F>, // case selector
        Cell<F>, // gas available
    ),
} The final step is to implement the trait for the op. To begin with, define several case situations covered by this op, as well as the number of values, the number of cells, and whether or not to halt. OpGadget const RESPONSIBLE_OPCODES: &'static [OpcodeId] =
    	&[OpcodeId::ADD, OpcodeId::SUB]; // This operation implements opcodes ADD and SUB.  
const CASE_CONFIGS: &'static [CaseConfig] = &[
	CaseConfig {
    	case: Case::Success,
    	num_word: 3,  // a + b + c
    	num_cell: 33, // 32 carry + swap
    	will_halt: false,
  },
	CaseConfig {
    	case: Case::StackUnderflow,
    	num_word: 0,
    	num_cell: 0,
    	will_halt: true,
	},
	CaseConfig {
    	case: Case::OutOfGas,
    	num_word: 0,
    	num_cell: 0,
    	will_halt: true,
	},
]; // Several case situations by ADD and SUB The function is relatively simple, which is to initialize our Gadget with . The function is a relatively critical interface, which needs the process of the current state and the next state to construct constraints. construct() case_allocations constraints fn constraints(
&self,
state_curr: &OpExecutionState<F>,
state_next: &OpExecutionState<F>,
) -> Vec<Constraint<F>> {
    let OpExecutionState { opcode, .. } = &state_curr;

    let common_polys = vec![
        (opcode.expr() - OpcodeId::ADD.expr())
            * (opcode.expr() - OpcodeId::SUB.expr()),
    ];

    let success = {
        // success constraint
    };

    let stack_underflow = {
        // stack underflow constraint
    };

    let out_of_gas = {
        // out_of_gas constraint
    };

    array::IntoIter::new([success, stack_underflow, out_of_gas])
        .map(move |mut constraint| {
            constraint.polys =
                [common_polys.clone(), constraint.polys].concat();
            constraint
        })
           .collect()
} If you want to know how to use halo2 to develop circuits, please refer to . Develop Circuits Using Halo2 3. keccak256 While we are studying the code, the crate of keccak256 is still in the construction stage. We will analyze it in the follow-up study. How to participate As written in Sin7Y’s early articles, zkEVM is the brightest jewel in the crown of Ethereum scaling, and we look forward to more developers participating in this great project. Of course, as an open-source project, you may make your contribution in whatever way you like. Fixing a typo, improving documentation, or implementing a certain function are all helpful. If you are more familiar with the development of Halo2 and want to implement a certain opcode, you can take the above ADD/SUB as an example. The implementation process complies with writing the design specifications first. After the design specifications are merged by the core developers, you can write the opcode circuit code. Finally, don't forget to write the unit test code for the newly added opcode implementation. References ZkEVM Specifications Circuits for zkEVM Develop Circuits Using Halo2 Exploring Popular zkEVM Solutions https://github.com/appliedzkp/zkEVM-specs https://github.com/appliedzkp/zkEVM-circuits https://hackernoon.com/sin7y-tech-review-develop-circuits-using-halo-2 https://hackernoon.com/exploring-popular-zkEVM-solutions-appliedzkp-matter-labs-hermez-and-sin7y-quick-publication-ltq37ah 📎 A little about us As a team of both vigorous and professional blockchain devs, Sin7Y has been doing constant research on zkEVM, layer 2, privacy computing, and cross-chain technology, delivering high-quality tech reviews on a regular basis. You can find us on or write to us at . Feel free to contact us by or if you have any queries. Twitter sin7y@web3.com DM Email

Chain

Coinbase

Ethereum Foundation

Target

Trace

Twitter

2022 - HackerNoon Contributor of the Year - Algorithms

2022 - HackerNoon Contributor of the Year - Architecture

2022 - HackerNoon Contributor of the Year - Blockchain

2022 - HackerNoon Contributor of the Year - Optimization

2022 - HackerNoon Contributor of the Year - Privacy

Nominated for 2022 - HackerNoon Contributor of the Year - Optimization

Nominated for 2022 - HackerNoon Contributor of the Year - Algorithms

Nominated for 2022 - HackerNoon Contributor of the Year - Privacy

Nominated for 2022 - HackerNoon Contributor of the Year - Architecture

Nominated for 2022 - HackerNoon Contributor of the Year - Blockchain

Too Long; Didn't Read

Download free Tech Leaders Productivity Report!

AppliedZKP zkEVM Circuit Code: A Guide

AppliedZKP zkEVM Circuit Code: A Guide

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

How Binius Reduces Computational Complexity with Towers of Binary Fields

CodexField: Building the “Power Grid” for AI Resources — Enabling Free Flow of Data and Models

SquareX Shows AI Browsers Fall Prey to OAuth Attacks, Malware Downloads& Malicious Link Distribution

Turning Apparel Waste into Bricks: A Step Toward Greener Industrial Practices

Why DynamoDB Costs Spiral Out of Control (and How to Fix Them)

How Binius Reduces Computational Complexity with Towers of Binary Fields

CodexField: Building the “Power Grid” for AI Resources — Enabling Free Flow of Data and Models

SquareX Shows AI Browsers Fall Prey to OAuth Attacks, Malware Downloads& Malicious Link Distribution

Turning Apparel Waste into Bricks: A Step Toward Greener Industrial Practices

Why DynamoDB Costs Spiral Out of Control (and How to Fix Them)

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps