Libsnerk - What Is Dizzyq?

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Dizzyq is a distributed zero knowledge proof system that's implemented in Java. It uses a cluster compute framework called Apache Spark. As you throw more machines and you have more cores, you can actually process the ZK SNARK itself much faster than you could with a single machine. That means you can grow the problem size to something much larger just by doubling.

In this episode, we sit down with Howard Wu to explore zkSNARKs, the challenges in the application of this awesome technology, the new ideas emerging for how to scale them and his latest work on DIZK.

This is the 2nd in our ongoing series about Zero Knowledge technologies. To get a good sense of Zero Knowledge Proofs, please listen to our introduction to the topic in Episode 21.

Howard Wu is an early member of Blockchain at Berkeley, the co-author of Libsnark, and a managing partner of Dekrypt Capital.

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