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Parallel computing

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Parallel computing

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Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

Introduction to Multiprocessor Architecture

Covers multiprocessor architecture, sustainable computing, AI model training impact, and parallel programming fundamentals.

Memory Consistency Models: Performance Impact and Parallel Computing

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

GPUs: Introduction to CUDA

Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.

Scalable Synchronization Mechanisms for Manycore Operating Systems

Explores scalable synchronization mechanisms for many-core operating systems, focusing on the challenges of handling data growth and regressions in OS.

GPUs: Multithreading and Architecture

Explores GPUs' architecture, multithreading, and their role in machine learning, discussing limitations and future trends.

Multi Masters Systems

Explores Multi Masters Systems, discussing architectures with multiple processors, shared memory, mutual exclusion, and hardware accelerators.

Concurrency and Mutual Exclusion

Covers the importance of concurrency, atomic operations, and mutual exclusion using locks.

GPUs: Architecture and Programming

Explores GPUs' architecture, CUDA programming, image processing, and their significance in modern computing, emphasizing early start and correctness in GPU programming.

Advanced Multiprocessor Architecture

Covers Advanced Multiprocessor Architecture, discussing course logistics, components, grading, and trends in modern computing systems.