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Diablo

Diablo is a benchmark to evaluate blockchain systems on the same ground. It was developed in a partnership between University of Sydney and the Swiss Federal Institute of Technology Lausanne (EPFL) to evaluate blockchain and distributed ledger technologies when running realistic applications. The name Diablo stems from DIstributed Analytical BLOckchain benchmark. If you use Diablo, please mention the reference:

Diablo: A Benchmark Suite for Blockchains. V. Gramoli, R. Guerraoui, A. Lebedev, C. Natoli, G. Voron. 18th ACM European Conference on Computer Systems (EuroSys), 2023.

Redbelly Blockchain

Redbelly is a blockchain system that offers security and performance for UTXO and account models. Its security stems from its deterministic consensus protocol, called Democratic BFT (DBFT), that prevents forks, its formal verification with parameterized model checking and its accountability property, allowing to generate undeniable proofs-of-fraud against misbehaving participants. Its performance comes from its superblock optimization that combines proposed blocks instead of selecting only one and discarding the other, and its lightweight validation. On the Diablo benchmarking framework, Redbelly outperforms 6 mainstream blockchains.

Red Belly: A secure, fair and scalable open blockchain. T Crain, C Natoli, V Gramoli. IEEE Symposium on Security and Privacy (S&P), 466-483, 2021

Synchrobench

Synchrobench is a micro-benchmark suite used to evaluate synchronization techniques on data structures. Synchrobench is written in C/C++ and Java and currently includes arrays, binary trees, hash tables, linked lists, queues and skip lists that are synchronized with copy-on-write, locks, read-copy-update, compare-and-swap and transactional memory. A non-synchronized version of these data structures is proposed in each language as a baseline to measure the performance gain on multi-(/many-)core machines.

More than you ever wanted to know about synchronization: Synchrobench, measuring the impact of the synchronization on concurrent algorithms. V Gramoli. Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2015.