rohit9312

Developed a novel approach for converting the total transaction execution order into a partial order, enabling parallel execution through worker queues. Achieved a 2×–3× speedup over sequential execution on historical Ethereum blocks. Additionally, implemented prototypes of the approach for Solana Sealevel and Monad execution models.

Designed and implemented iBTM (Intelligent Block Transaction Memory), a parallel EVM execution framework, and contributed to its production deployment, improving transaction throughput while preserving execution correctness. Integrated the parallel execution framework with the consensus and persistent storage layers, ensuring reliable high-throughput execution in a distributed blockchain environment. Explored low-level hardware transactional memory optimizations for EVM-compatible systems to improve parallel execution performance. Optimized state-access performance by implementing caching strategies and integrating RocksDB with Merkle-based data structures, enabling faster state reads and efficient Merkle proof generation.

Designed and implemented concurrent scheduling for parallel nested transactions using a thread pool and timestamp-based validation. Developed comprehensive benchmarks using concurrent hash maps and counters, achieving 2.5× speedup over flat transaction nesting and 12.82× over sequential execution.