Multiprocessors: Overview and Challenges

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Introduction to Multiprocessor Architecture

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

Parallelism: Programming and Performance

Explores parallelism in programming, emphasizing trade-offs between programmability and performance, and introduces shared memory parallel programming using OpenMP.

Multi Masters Systems

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

Introduction to Multiprocessor Architecture

Introduces the fundamentals of multiprocessor architecture, covering post-Moore servers, sustainable datacenters, parallel programming, and GPU utilization.

Advanced Multiprocessor Architecture

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

GPU Introduction: Performance and Programming

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

Cache Coherence: Basics and Protocols

Explores cache coherence in multiprocessor systems, discussing basic protocols and challenges of shared data among CPUs.

GPUs: Architecture and Programming

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

Cache Coherence

Covers cache coherence, sharing data in multiprocessor caches, directories, and coherence protocols.

Parallel Computing: Principles and OpenMP

Covers the principles of parallel computing and introduces OpenMP for creating concurrent code from serial code.