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In the same month VDFs were defined, two independent constructions were published by Pietrzak and Wesolowski. These two constructions have evaluation proofs that are exponentially faster to verify than the direct inherently-sequential evaluation. VDFs can be used by blockchains to create more scalable consensus protocols, introduce unbiasable randomness, and enable proof-of-replication. Their use is being incorporated into blockchain protocols such as Ethereum, the second largest blockchain platform in the world, and Filecoin, an upcoming platform offering decentralized storage. However, to retain the security properties provided by their computational delay, VDF evaluations must run fast enough to avoid attacks that jeopardise their connect tether to real-world time. Specifically, an attacker should not be able to evaluate VDFs significantly faster than the general public, e.g. no more than , say, 10 times faster than the general public.
In order to better reason about the potential performance of a hardware accelerated VDF, the Ethereum Foundation, Protocol Labs, the Interchain Foundation, and Supranational have collaborated to develop novel algorithms and semiconductor designs for VDFs. This VDF alliance has focused on RSA VDFs based on repeated modular squaring. A partnership with Erdinc Ozturk of Sabanci University led to the development a low latency modular squaring algorithm targeted at an ASIC architecture. This algorithm was used to develop an FPGA implementation that solved a twenty-year-outstanding timelock puzzle developed by famed cryptographer Ron Rivest. Despite their recent introduction in mid-2018, VDFs has been an active field of research. Academic resources, video content, and explainers are available at vdfresearch.org. An FPGA competition to accelerate repeated modular squaring launched August 1, 2019.