Seer: Accelerating Blockchain Transaction Execution by Fine-Grained Branch Prediction
Summary: Seer uses fine-grained two-level branch prediction to make off‑critical‑path pre-execution of smart-contract transactions effective by reducing inconsistent paths from state-dependent branches. Combined with checkpoint-based fast‑path replay for mispredictions, Seer yields ~27.7x per-transaction and ~20.6x execution-phase speedups over vanilla Ethereum. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Shijie Zhang
- 2. Ru Cheng
- 3. Xinpeng Liu
- 4. Jiang Xiao
- 5. Hai Jin
- 6. Bo Li
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,240 | Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric | 2019 | SIGMOD | 0.00013100297 |
| 2,532 | A Transactional Perspective on Execute-order-validate Blockchains | 2020 | SIGMOD | 8.5900158e-05 |
| 4,580 | NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering | 2022 | VLDB | 6.0703601e-05 |
| 4,634 | SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing | 2021 | VLDB | 6.0339819e-05 |
| 6,634 | Fine-Grained Re-Execution for Efficient Batched Commit of Distributed Transactions | 2023 | VLDB | 4.982784e-05 |
| 7,286 | GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism | 2023 | VLDB | 4.7762276e-05 |
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