Pipelining: Enhancing Computer Architecture Performance

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Designing Datapath and Control Logic for ISA Instructions

Explores the design of datapath and control logic for executing ISA instructions, focusing on hardwired control and performance analysis.

Data-Parallel Programming: Vector & SIMD Processors

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

Dynamic Scheduling

Explores dynamic scheduling in processor design to increase parallelism by executing instructions out of order, improving performance and efficiency.

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Multithreading Basics: Design, Performance, and Impact

Covers the basics of multithreading, including design, performance impact, and GPU utilization.

Computer Architecture: From Algorithms to Computers

Explores the implementation of algorithms in hardware, covering registers, basic instructions, assembly language, and the von Neumann architecture.

Introduction to Processors

Covers the fundamentals of processors, from digital logic to program execution, including components like ALU, register file, and control logic.

Dynamic Scheduling: Extending Pipelining for Parallelism

Delves into dynamic scheduling to enhance pipelining and enable out-of-order execution for improved performance.

Introduction to ISA

Covers the components of a processor, ISA classifications, specific ISAs like MIPS, assembly language examples, and the importance of machine instruction regularity.

Superscalars: Execution and Cache Optimization

Explores superscalar processors, dynamic branch prediction, nonblocking caches, and control speculation.