Introduction to Multiprocessor Architecture

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Multiprocessors: Overview and Challenges

Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.

Parallelism: Programming and Performance

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

Introduction to Multiprocessor Architecture

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

Multi Masters Systems

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

Cache Memory

Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.

Parallel Computing: Principles and OpenMP

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

Actors: Evolution and Implementation

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

Advanced Multiprocessor Architecture

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

Cache Coherence: Basics and Protocols

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

Data-Parallel Programming: Vector & SIMD Processors

Explores data-parallel programming with vector processors and SIMD, and introduces MapReduce, Pregel, and TensorFlow.