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Related lectures (30)

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Covers associative and commutative operations in parallel programming, using mathematical examples and discussing challenges in preserving associativity.

Parallel Programming: Splitters and Combiners

Covers Splitters and Combiners in parallel programming using Scala, explaining how to implement key methods efficiently.

Numpy Tutorial

Covers the basics of Numpy, including importing the library, creating arrays, and performing linear algebra operations.

Actors: Evolution and Implementation

Covers the evolution of Actors, challenges of modern CPUs, parallel programming risks, and synchronization tools in Scala.

Introduction to LabVIEW Programming

Introduces LabVIEW programming, covering memory management, data types, and parallel programming concepts, with hands-on demonstrations.

Data-Parallel Operations: Part 1

Explores data-parallel operations in Scala, converting collections, implementing sum, and examining fold operations.

Arrays: Declaration, Access, Initialization

Covers the basics of arrays in C, including declaration, access, and initialization.

Fixed-size Arrays in C++11

Covers the declaration and initialization of fixed-size arrays in C++11 with examples.

Benchmarking Parallel Programs

Covers testing, benchmarking, performance factors, measurement methodologies, ScalaMeter, JVM warmup, and configuration in parallel programming.

Introduction to C: Arrays and Functions

Covers the basics of C programming, focusing on arrays and functions, including 1D and 2D arrays, string operations, dynamic memory allocation, and reading files.