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High Performance Computer Architecture

Track :

Programming

Lessons no : 161

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What will you learn in this course?
  • Master instruction set design to optimize processor performance and efficiency in modern computing systems
  • Implement parallel processing techniques to enhance computational speed and throughput in high-performance architectures
  • Analyze data and instruction level parallelism to improve processor utilization and reduce execution time
  • Design distributed computing systems to enable scalable, reliable, and efficient high-performance applications
  • Apply virtualization architecture concepts to optimize resource allocation and system flexibility in data centers
  • Evaluate cloud computing architectures for scalable, secure, and cost-effective high-performance solutions
  • Develop mobile architecture strategies to balance power consumption and processing capabilities in portable devices
  • Integrate bit-level operations to improve data processing accuracy and system performance
  • Optimize instruction pipelines to minimize latency and maximize throughput in high-performance processors
  • Implement virtualization techniques to enhance resource sharing and isolation in multi-tenant environments
  • Design high-performance computer systems with efficient cache, memory hierarchy, and data transfer mechanisms
  • Assess the impact of instruction set design on processor compatibility, performance, and energy efficiency
  • Apply principles of distributed computing to solve large-scale computational problems effectively
  • Utilize cloud and mobile architectures to develop scalable, flexible, and energy-efficient applications
  • Analyze the role of virtualization in cloud infrastructure to improve resource management and security
  • Implement strategies for optimizing instruction and data-level parallelism in modern processor architectures

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Lessons | 161
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Ahmad Dar

Great Course 2025-02-04

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Advanced computer architecture includes study of instruction set design, parallel processing, bit, instruction, and data level parallelism, distributed computing, virtualization architecture, and cloud and mobile architecture.