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Related lectures (30)
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Memory Consistency Models: Performance Impact and Parallel Computing
Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.
Representation Theory: Algebras and Homomorphisms
Covers the goals and motivations of representation theory, focusing on associative algebras and homomorphisms.
Introduction to Multiprocessor Architecture
Covers multiprocessor architecture, sustainable computing, AI model training impact, and parallel programming fundamentals.
Numpy Tutorial
Covers the basics of Numpy, including importing the library, creating arrays, and performing linear algebra operations.
GPU Introduction: Performance and Programming
Explores the motivation and advantages of using GPUs for computation, focusing on their performance and programming through CUDA.
Parallel Programming in Scala: Computing p-norm
Explores computing p-norm using parallel programming in Scala and its impact on performance.
Concurrency with Futures
Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.
Matrix Multiplication
Covers matrix multiplication, properties, and the identity matrix in algebraic operations.
Safe Mutation in Scala
Explores safe mutation in Scala, emphasizing the management of mutable state and its significance in interactions, modeling, and implementation efficiency.
Polynomials: Operations and Properties
Explores polynomial operations, properties, and subspaces in vector spaces.