LIVE PARALLEL OCC ENGINE MonadDb v1.4 Active

Monad Parallel Execution & MonadDb Profiler

Unlike legacy EVM chains that process transactions one by one, Monad executes hundreds of transactions concurrently using Optimistic Concurrency Control (OCC) and persists state in MonadDb with asynchronous SSD kernel-bypass I/O.

Parallel Speedup vs Sequential EVM

7.67x faster

Parallel vCPU Threads 7 Cores

OCC Conflict Rate 3.42%

Parallel Exec Time 64.4 ms

Sequential Time 494.0 ms

OCC Commits 955

Aborts Retried 33

💾

MonadDb Asynchronous SSD I/O Telemetry

Custom optimized B-Tree with kernel io_uring async I/O (Bypasses OS buffer cache bottlenecks)

22.5x Faster than RocksDB (Ethereum)

Async Storage IOPS

62,368

Direct NVMe Queue

Async Read Latency

0.099 ms

vs 1.80ms on RocksDB

Async Write Latency

0.148 ms

Non-blocking deferred

Page Cache Hit Rate

98.98%

Hot state in RAM

Disk Bandwidth

1620.1 MB/s

Sequential NVMe Stream

OCC Execution Pipeline

Block #580314619

1. Optimistic Exec

Concurrent threads execute with pending reads

14.2 ms

2. Conflict Check

Validates read-set vs write-set collisions

3.8 ms

3. Abort Replay

Conflicting txs re-executed with new state

6.1 ms

4. MonadDb Commit

Async batch written to NVMe SSD

4.5 ms

Execution Wave Breakdown

Transactions executed in concurrent waves to minimize sequential dependency latency

5 Waves Total

Wave	Txs Processed	Conflicts	Retries	Execution Latency
Wave #1	197 txs	6	6	192.4 ms
Wave #2	197 txs	6	6	195.4 ms
Wave #3	197 txs	6	6	223.0 ms
Wave #4	197 txs	6	6	253.2 ms
Wave #5	197 txs	6	6	284.0 ms

🔥 Hot Storage Slot Heatmap

Contention Radar

Top state slots accessed simultaneously by multiple concurrent transactions

WMON Router (0x0000...0001) 1.67% Conflict

Accesses: 387 Reads: 317 | Writes: 69

Kuru DEX Pool (0x0000...0003) 1.18% Conflict

Accesses: 308 Reads: 233 | Writes: 77

USDC Reserve (0x0000...0007) 0.59% Conflict

Accesses: 213 Reads: 174 | Writes: 39

Ambient LP (0x0000...000f) 0.39% Conflict

Accesses: 164 Reads: 134 | Writes: 29

sMON Staking (0x0000...001a) 0.2% Conflict

Accesses: 97 Reads: 82 | Writes: 14

⚡ Interactive OCC Batch Simulator

Simulate how Monad dynamically splits transactions into concurrent execution waves based on state storage slot contention:

Simulated Transactions in Block: 1,000 txs

Wave 1 (Conflict-Free): 982 txs (98.2%)

Wave 2 (OCC Retries): 18 txs (1.8%)

Predicted MonadDb Commit Time: 18.4 ms

💡 How Monad's Parallel EVM Outperforms Traditional Sequential Blockchains

1. Optimistic Concurrency Control

Standard EVMs like Ethereum process one transaction at a time. Monad schedules all incoming transactions across multiple CPU cores simultaneously. Transactions execute optimistically and record read/write memory logs. If conflicts occur on the same storage slot, only the colliding transaction re-runs.

2. MonadDb Kernel Bypass SSD

Ethereum nodes use RocksDB or LevelDB which suffer from POSIX file locks and Linux page-cache contention. Monad built a custom trie storage engine (`MonadDb`) that uses kernel-bypass asynchronous I/O (`io_uring`), enabling 50,000+ IOPS with 0.08ms read latencies.

3. 100% Bytecode Compatibility

Developers do NOT need to learn new languages, rewrite contracts for parallel state access, or manage account locking. Any Solidity or Vyper contract deployed on Ethereum or Avalanche runs out-of-the-box with full 10,000 TPS speedup.