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Related lectures (30)

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Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

Explores the arithmetic of direct sum of abelian groups and the process of turning a monoid into a commutative group.

Explains two-phase construction for arrays, hash tables, and search trees in parallel.

Explores GPU architecture, multithreading, SIMD processors, and CUDA programming for parallel computing.

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

Explores parallel programming in Scala, functional operations on collections, and parallel map functions on arrays and trees.

Covers the concept of natural numbers, including properties like commutativity and associativity.

Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.

Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.