Spark Ecosystem: Architectural Choices

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Related lectures (32)

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Introduction to Algorithms

Explores the ingredients and selection of algorithms for different goals.

Algorithms: Efficiency Analysis

Covers the analysis of algorithm efficiency and optimizing code for faster execution.

Decentralized Systems Engineering: Gossip Efficiency

Explores gossip efficiency in decentralized systems, focusing on minimizing duplication and reducing traffic through improved gossiping techniques.

Rescuing Data Center Processors

Explores challenges and solutions for data center processors, focusing on efficiency, cache issues, branch prediction, and architectural optimizations.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Initial BFS

Explores finding the initial Basic Feasible Solution (BFS) in a linear program.

Dataflow: Execution Models for Distributed Computing

Explores the data flow model for distributed computing using RDDs in Spark.

Dataflow Analysis: Translation Inefficiencies and Optimizations

Explores translation inefficiencies, optimizations, hoisting functions, closure conversion, and dataflow analysis concepts like available expressions and live variables.

Interaction Model Design Explanation

Explains the design model for managing interactions in small games with actors.

Microcontrollers: Specific Operations

Covers microcontroller programming, memory protection, code optimization, debugging, project management, and hardware control.