Multithreading Basics: Design, Performance, and Impact

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Related lectures (32)

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Understanding Simultaneous Multithreading in Modern Processors

Covers simultaneous multithreading, its implementation, and its impact on processor performance.

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.

Multi-threaded Processors

Covers the basics of multi-threaded processors, including design, performance impact, and pipeline utilization.

GPUs: Multithreading and Architecture

Explores GPUs' architecture, multithreading, and their role in machine learning, discussing limitations and future trends.

GPUs: Architecture and Programming

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

VLIW Architectures: Compilers and Instruction Level Parallelism

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

Memory Consistency Models: Performance Impact and Parallel Computing

Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.

Parallelism: Programming and Performance

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

Dynamic Scheduling in Processors: Enhancing Instruction Execution

Covers dynamic scheduling in processors, focusing on out-of-order execution and managing instruction dependencies effectively.

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.