ZK MapReduce Primer - Lagrange

Lagrange Search ⌃ K OVERVIEW What is the Lagrange Protocol Overview of Existing Cross-Chain Security Models LAGRANGE STATE COMMITTEES Commitees Overview Lagrange Node Architecture Inductive State Proofs Slashing Conditions Javascript Library ZK BIG DATA Overview of the ZK Big Data Stack ZK MapReduce Primer ZK MapReduce Examples Powered By GitBook ZK MapReduce Primer What is MapReduce? In a traditional sequential computation, a single processor executes an entire program following a linear path, where each instruction is executed in the order that it appears in the code. With MapReduce and similar distributed computing paradigms, such as RDD, the computation is divided into multiple small tasks that can be executed on multiple processors in parallel. MapReduce works by breaking down a large dataset into smaller chunks and distributing them across a cluster of machines. Broadly, this computation follows three distinct steps: 1. Each machine performs a map operation on its chunk of data

Lagrange Search ⌃ K OVERVIEW What is the Lagrange Protocol Overview of Existing Cross-Chain Security Models LAGRANGE STATE COMMITTEES Commitees Overview Lagrange Node Architecture Inductive State Proofs Slashing Conditions Javascript Library ZK BIG DATA Overview of the ZK Big Data Stack ZK MapReduce Primer ZK MapReduce Examples Powered By GitBook ZK MapReduce Primer What is MapReduce? In a traditional sequential computation, a single processor executes an entire program following a linear path, where each instruction is executed in the order that it appears in the code. With MapReduce and simi