Concept

Distributed computing

Related lectures (32)

General-Purpose Distributed Execution System

Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.

Distributed Algorithms: Project Implementation and Evaluation

Covers the implementation and evaluation of a practical project in Distributed Algorithms, focusing on building Perfect Links, FIFO Broadcast, and Localized Causal Broadcast.

Distributed Actors: Cluster Management

Explores distributed actor management in clusters, emphasizing consensus, failure detection, and lifecycle monitoring.

MapReduce: Execution Models for Distributed Computing

Introduces the MapReduce programming model for distributed computing, focusing on its vision and under-the-hood mechanisms.

Consensus Algorithms: FloodSet

Explores the FloodSet algorithm for achieving consensus in distributed systems through guided proofs and communication complexity analysis.

Scheduling: Under the Hood

Explores the complexities of scheduling in distributed computing frameworks, emphasizing data locality optimization and multitenancy strategies.

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Real-Time Distributed Algorithms

Explores real-time distributed algorithms, covering industrial applications, system models, communication protocols, and failure detection.

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Energy Management Challenges

Explores challenges in energy management and optimization, emphasizing the need for energy-efficient computing systems and sustainable energy sources.

Parallel & Distributed DBMS

Covers the architecture of parallel databases, benefits of parallelism, distributed databases, and replication methods.

PVT Variations, Uncertainty, and Monte-Carlo Simulations

Explores the impact of PVT variations, uncertainties in IC design, worst-case design paradigms, and the importance of Monte-Carlo simulations.

FlowField Data Distribution

Covers the distribution of data in the FlowField class, focusing on gridpoint calculations and MPI usage.

Causal & Total Order Broadcast

Covers exercises on reliable broadcast, uniform reliable broadcast, and total order broadcast in distributed algorithms.

Distributed Information Systems: Overview and Models

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Lattice Agreement

Explains lattice agreement in distributed algorithms, focusing on processes agreeing on decisions despite failures.

Distributed Computation I

Explores distributed computation between two parties in a distant setting.

Graph Mining: Link Based Ranking and Document Classification

Explores link-based ranking, document classification, and graph mining techniques.

Synchronization: Locks and Barriers

Explores synchronization principles using locks and barriers, emphasizing efficient hardware-supported implementations and coordination mechanisms like OpenMP.

Distributed Actors: Principles and Failure Detection

Explores distributed actors, failure detection in clusters, and lifecycle monitoring for distributed fail-over.