Manaswini Piduguralla

dblp:340/3972 · DBLP profile ↗
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6ranked-venue papers
2as first author
6since 2021 · last 2026
0000-0002-6295-0445ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 3 since 2021Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2026 BlockRaFT: A Distributed Framework for Fault-Tolerant and Scalable Blockchain Nodes
Manaswini Piduguralla, Souvik Sarkar, Arunmoezhi Ramachandran, Sathya Peri
ICSA1
2025 Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
Chryssis Georgiou, Manaswini Piduguralla, Sathya Peri
Euro-Par (3)2
2025 Efficient Scheduling of Smart Contract Transactions via Conflict Graph Coloring
abstract
A smart contract is a special type of transaction designed for the execution of automated logic on blockchains. Alas, smart contracts transactions are one of the major hindrances to blockchain throughput. Hence, improving the execution time of smart contracts is a prime challenge for Blockchains at large. To that end, concurrent execution of smart contract is an appealing direction, which has been adopted by several contemporary Blockchains like Solana, Aptos, Sui, Sei, and Monad. Executing smart contracts in parallel requires applying deterministic concurrency controls based on ensuring consistent ordering of all conflicting transactions in all miners/validators. Existing implementations rely on the Block's total ordering to resolve this requirement. Recently, it has been suggested that relying on minimal coloring of the conflict graph corresponding to the Block's transactions can provide a better performance potential, yet without any evaluation. In this paper, we compare between approaches to smart contracts parallelization. Our study’ finds that in many situations, indeed the coloring-based ordering leads to significantly better performance than the Block order preserving approach. However, this gain has its limits, and it is not always guaranteed. In particular, the results are largely dependent on the conflict ratio in the conflict graph and the type of application.
Ankit Ravish, Yaron Hay, Manaswini Piduguralla, Roy Friedman 0001, Sathya Peri
PRDC3
2025 Brief Announcement: Dependency-Aware Execution Mechanism in Hyperledger Fabric Architecture
Sanyam Kaul, Manaswini Piduguralla, Gayathri Shreeya Patnala, Sathya Peri
SSS2
2025 Improving the Hu-Toueg Construction of a Byzantine Linearizable SWMR Register
Ajay D. Kshemkalyani, Manaswini Piduguralla, Sathya Peri, Anshuman Misra
SSS2
2023 DAG-Based Efficient Parallel Scheduler for Blockchains: Hyperledger Sawtooth as a Case Study
Manaswini Piduguralla, Saheli Chakraborty, Parwat Singh Anjana, Sathya Peri
Euro-Par1