Memory Consistency Models: Performance Impact and Parallel Computing

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VLIW Architectures: Compilers and Instruction Level Parallelism

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

Principles of Parallelism

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

Advanced Multiprocessor Architecture

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

Parallel Programming I

Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.

GPU Introduction: Performance and Programming

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

Multithreading: Pipeline Utilization and Performance Impact

Explores multithreading in computer architecture, focusing on pipeline utilization and performance impact in various techniques, including blocked and fine-grained multithreading.

GPU Advanced: Memory Management and Optimization

Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.

Introduction to Multiprocessor Architecture

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

Threads: Concurrency and Parallelism in Computer Systems

Covers the thread abstraction in computer systems, focusing on concurrency, parallelism, and the management of threads using the POSIX API.

Synchronization

Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.