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Scalar processor
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Related lectures (11)
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GPUs: Introduction to CUDA
Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.
Data-Parallel Programming: Vector & SIMD Processors
Explores data-parallel programming with vector processors and SIMD, and introduces MapReduce, Pregel, and TensorFlow.
Superscalars: Execution and Cache Optimization
Explores superscalar processors, dynamic branch prediction, nonblocking caches, and control speculation.
Superscalars: Execution and Cache Requirements
Explores superscalar processors and cache optimization for improved performance.
Implementation with Transistors
Covers the implementation of a processor with transistors and focuses on improving performance through various technologies and circuit designs.
Computer Architecture: Circuits and Processors
Introduces computer architecture, covering logic circuits, adders, processors, and performance optimization.
VLIW: Dynamically Scheduled Processors
Explores VLIW processors, focusing on scheduling complexity, ILP limitations, and code bloating.
Understanding Simultaneous Multithreading in Modern Processors
Covers simultaneous multithreading, its implementation, and its impact on processor performance.
Pipelining: Enhancing Computer Architecture Performance
Covers pipelining in computer architecture, focusing on its role in enhancing performance through instruction-level parallelism and addressing associated challenges.
VLIW Architectures: Compilers and Instruction Level Parallelism
Covers VLIW architectures and compilers, focusing on instruction level parallelism and optimization techniques.
Dynamic Scheduling in Processors: Enhancing Instruction Execution
Covers dynamic scheduling in processors, focusing on out-of-order execution and managing instruction dependencies effectively.
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