Parallel Architectures: Shared Memory, Shared Disk, Shared Nothing

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Clustering: Unsupervised Learning

Explores clustering in high-dimensional space, covering methods like hierarchical clustering, K-means, and DBSCAN.

Distributed Actors: Principles and Failure Detection

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

Galaxies and Clusters

Explores the content of the Universe, large scale structures, galaxy classification, and galaxy clusters.

Satisfiability and clusters

Covers satisfiability threshold, clusters of solutions, parameter alpha, and average cluster computation.

Concurrency and Parallelism: Visibility

Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.

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Data Intensive Applications and Systems: Installation and Configuration

Covers the installation and configuration process of data-intensive applications and systems.

Evidence for Dark Matter: Galactic Rotation Curves and Clusters

Explores evidence for dark matter in galactic rotation curves and clusters, as well as cosmological concepts like the Robertson-Walker metric and inflation.

Principles of Parallel Computing: OpenMP

Explores the principles of parallel computing, focusing on OpenMP as a tool for creating concurrent code from serial code.

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