Superscalar processor

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

Covers query processing with relational operations, including query optimization and different join algorithms.

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

Explores transactional memory for hardware concurrency control, discussing locking mechanisms, performance trade-offs, and hardware changes.

Explores basic pipelining in circuits, improving speed and throughput with multiple operations performed simultaneously.

Explores basic pipelining in circuits, enhancing throughput by splitting jobs into sub-parts.

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

Covers prediction and speculation techniques in processor design to enhance performance and reduce execution delays.

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