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NTU MOOC Study Notes - Session 13 Scaling Ethereum: The Power of Parallel EVM Execution to Transform Blockchain Performance

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HackQuest
Sep 9, 2024
4 min read

Date: 9-10:30 AM SGT, September 10th 2024 / 9-10:30 PM EST, September 9th 2024

Session Title: The Power of Parallel EVM Execution to Transform Blockchain Performance


NTU I&E x HackQuest MOOC is free and open to all individuals interested in Web3. The MOOC is led by top voices in crypto including Yat Siu (Co-founder, Animoca), Ed Felten (Co-founder, Offchain Labs), Sergey Gorbunov (Co-founder, Axelar), Scott Moore (Co-founder, Gitcoin), Haider Rafique (CMO, OKX), Austin Griffith (Developer Onboarding, Ethereum Foundation), Anna Yuan (Stablecoins Lead, Solana Foundation), and many more. For those who prefer having a text summary and review material, this study note provides a recap of what’s covered during the MOOC. Happy learning!


Overview

Main Topic: Scaling Ethereum with Parallel Execution of the EVM

Objectives:

1.Understand the architecture and workflow of the Ethereum Virtual Machine (EVM).
2.Analyze the limitations of the sequential EVM and the benefits of parallel execution.
3.Explore the Block-STM method and Reddio’s approach to enhancing EVM performance.

Section 1: Ethereum Virtual Machine (EVM)

1.1 EVM Overview

Definition:
The EVM is the runtime environment for executing smart contracts on Ethereum, functioning as a decentralized, stack-based virtual machine that processes transactions and manages state updates.

1.2 World State

Structure:
The Ethereum world state maps addresses to account states, stored in a trie database. Each account's state consists of code (smart contracts) and data, ensuring a consistent record of interactions.
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1.3 State Transition Mechanism

Process:
The EVM operates on a state transition model initiated from a genesis state. Each transaction updates the world state, transitioning it to the next state based on executed operations, allowing for atomic updates across accounts.
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Section 2: EVM Architecture

2.1 EVM Components

Key Components:
Stack: Holds intermediate values for calculations.
Memory: Temporary storage for data during execution.
Storage: Persistent storage for account states, integral to the world state.
Program Counter: Tracks the execution position in bytecode.
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2.2 EVM Instruction Set

Opcode Functionality:
The EVM supports various operations, including arithmetic and logic, through low-level stack-based bytecode. This enables Turing-complete execution of smart contracts, facilitating diverse applications.
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2.3 Compiling to EVM

High-Level Languages:
Smart contracts are typically written in languages like Solidity and Vyper, which are compiled into low-level EVM bytecode for execution, allowing developers to leverage high-level programming constructs.
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Section 3: Limitations of the Sequential EVM

3.1 Workflow of the Sequential EVM

Transaction Processing:
The sequential EVM processes transactions one at a time:
1.Select transactions from the mempool.
2.Execute corresponding opcodes.
3.Update the state in the state database.
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3.2 Challenges

Performance Issues:
The sequential processing leads to slow transaction speeds and inefficiencies, particularly during network congestion, limiting the scalability of decentralized applications (dApps).

Section 4: Parallel Execution of the EVM

4.1 Introduction to Parallel Execution

Independent Transactions:
Parallel execution enables multiple transactions to be processed simultaneously, significantly enhancing throughput and scalability by reducing bottlenecks.
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4.2 Block-STM Approach

Optimistic Parallelization:
The Block-STM (Software Transactional Memory) method promotes optimistic parallel execution with dynamic conflict detection, enabling more efficient handling of transactions across multiple chains.
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4.3 Advantages of Parallel Execution

Scalability:
Parallel execution allows for increased performance of dApps in various domains, such as decentralized exchanges (DEXs), GameFi, low-latency applications, and microtransactions.
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Section 5: Reddio’s Approach to EVM Scaling

5.1 Reddio’s Innovations

GPU Acceleration:
Reddio leverages decentralized GPU networks to enhance processing capabilities, enabling more efficient transaction handling and scaling, which is critical for meeting user demands.
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5.2 Architecture Overview

Reddio Node:
The architecture integrates GPU acceleration with a modular sequencer SDK, allowing for efficient transaction processing while maintaining compatibility with existing Ethereum smart contracts.
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Key Takeaways:

Parallel execution of the EVM offers a promising solution for scaling Ethereum, addressing the limitations of sequential processing. The Block-STM method provides a robust framework for optimistic parallelization, facilitating efficient transaction handling. Reddio’s architecture utilizes GPU acceleration to maximize performance, establishing a new standard for scalability in the Ethereum ecosystem.


Q&A

1.Q1: How do you see the future of ETH compared to Bitcoin?

Answer: Thank you for the question. While I'm not giving investment advice, I believe that Ethereum's innovative capacity has always driven the market forward. The token economics for both Ethereum and Bitcoin are designed with different goals in mind, and I see this as a key factor for their future valuations.

2.Q2: What's your perspective on the Indian developer ecosystem?

Answer: I have had positive experiences with Indian developers in previous roles, and I see a robust market for both web2 and web3 innovations coming from India. The talent pool is eager to learn and apply new technologies, making it an exciting space to watch.

3.Q3: How would you explain concepts like ZK and ZKVM to newcomers?

Answer: For newcomers, I would simplify these concepts by relating them to everyday technology. For instance, ZK can be likened to a secure compression algorithm that ensures data integrity, while the concept of layer two can be explained through familiar payment wallets that improve transaction speed and efficiency.

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