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Related lectures (30)

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Covers register renaming techniques essential for eliminating execution hazards in modern processors.

Computer Architecture: From Algorithms to Computers

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

Processor Architecture

Covers processor architecture, evolution of performance, algorithms to computers transition, registers, instructions, arithmetic unit, and memory management.

Compilers: Challenges with Digital Signal Processors

Covers the challenges of compiling for digital signal processors due to their unique architectural features and irregularities.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Introduction to R Programming for Genetics & Genomics

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Dynamic Scheduling in Processors: Enhancing Instruction Execution

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

Instruction Set Extensions: High-Level Synthesis Techniques

Covers instruction set extensions and high-level synthesis techniques for optimizing embedded processors.

Reservoirs and Dams: Hydraulic Construction and Sizing

Explores sizing reservoirs and dams using cumulative flow curves and tank dimensioning for dry and rainy periods.

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.