The question is always what is the bottleneck in the prover implementation? And if we're developing special purpose hardware to implement the prover, you know, you have to be very aware of bottlenecks. FFTs come up fast for a transforms because they divide large, large polynomials. If you use some check instead, you can avoid those FFTs. So this blog post from Ingo Yama was specifically focused on FFTs as a possible bottleneck versus some check as a possibly bottleneck.
This week, Anna chats with Justin Thaler, Associate Professor at Georgetown. They cover Justin’s academic history and discuss what led him to working on interactive proofs and SNARKs. They also take a look at several other topics such as the Thaler Book Study Group, his earlier work Spartan, comparing the security of different rollups built with SNARKs and STARKs and more.
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Check out ingonyama.com to learn more about Zero Knowledge Hardware acceleration.
Aleo is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup.
Interested in building private applications? Check out Aleo’s programming language called Leo by visiting http://developer.aleo.org.
You can also participate in Aleo’s incentivized testnet3 by downloading and running a snarkOS node. No sign-up is necessary to participate.
For questions, join their Discord at aleo.org/discord.
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