Principles of Parallel Computing: OpenMP

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Synchronization: Locks and Barriers

Explores synchronization principles using locks and barriers, emphasizing efficient hardware-supported implementations and coordination mechanisms like OpenMP.

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Explores the motivation and advantages of using GPUs for computation, focusing on their performance and programming through CUDA.

VLIW Architectures: Compilers and Instruction Level Parallelism

Covers VLIW architectures and compilers, focusing on instruction level parallelism and optimization techniques.

Advanced Multiprocessor Architecture

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

Concurrency and Parallelism: Visibility

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

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.

Introduction to Multiprocessor Architecture

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

Challenges in High-Level Synthesis: Optimizing Loop Constructs

Addresses the challenges of high-level synthesis and optimizing loop constructs using the polyhedral model for improved performance and scheduling.

GPUs: Introduction to CUDA

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

Speculative Query Parallelization

Explores accelerating complex analytics through speculation, parallelizing queries, handling mispredictions, and transitioning to speculative plans.