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
7.19x faster
Parallel vCPU Threads 7 Cores
OCC Conflict Rate 3.1%
Parallel Exec Time 65.8 ms
Sequential Time 473.0 ms
OCC Commits 917
Aborts Retried 29
๐Ÿ’พ

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
61,478
Direct NVMe Queue
Async Read Latency
0.095 ms
vs 1.80ms on RocksDB
Async Write Latency
0.142 ms
Non-blocking deferred
Page Cache Hit Rate
98.89%
Hot state in RAM
Disk Bandwidth
1581.9 MB/s
Sequential NVMe Stream

OCC Execution Pipeline

Block #580314611
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 #1 189 txs 5 5 199.9 ms
Wave #2 189 txs 5 5 208.6 ms
Wave #3 189 txs 5 5 233.6 ms
Wave #4 189 txs 5 5 250.0 ms
Wave #5 189 txs 5 5 280.0 ms

๐Ÿ”ฅ Hot Storage Slot Heatmap

Contention Radar

Top state slots accessed simultaneously by multiple concurrent transactions

WMON Router (0x0000...0001) 1.57% Conflict
Accesses: 376 Reads: 309 | Writes: 67
Kuru DEX Pool (0x0000...0003) 1.12% Conflict
Accesses: 301 Reads: 228 | Writes: 75
USDC Reserve (0x0000...0007) 0.55% Conflict
Accesses: 209 Reads: 170 | Writes: 38
Ambient LP (0x0000...000f) 0.37% Conflict
Accesses: 160 Reads: 132 | Writes: 28
sMON Staking (0x0000...001a) 0.19% Conflict
Accesses: 95 Reads: 80 | Writes: 14

โšก 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

๐Ÿ’ก 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.