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Course Details

High Performance Computing – HPC
Teacher

Self Paced

Last Update:

February 26, 2025

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About Course

 

The High-Performance Computing (HPC) course provides knowledge of Cluster computing, Parallel programming, and the cutting-edge technologies driving advancements in computational power. You will gain a good understanding of how HPC is revolutionizing industries from scientific research to artificial intelligence.

This High-Performance Computing (HPC) course is designed to provide fundamental knowledge of HPC clusters, Parallel programming, Advanced Programming, and Power management techniques critical for modern computing systems. The course is structured across four comprehensive modules, focusing on fundamental principles, advanced technologies, and practical challenges in HPC.

 

What is the objective of this course?

The objective of this course is to equip learners with
i. a detailed understanding of HPC architecture, parallel computing principles, and advanced programming techniques.
ii. The course explores the design, management, and optimization of HPC clusters, along with power management strategies and next-generation computational technologies such as Petascale and Exascale computing.

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What Will You Learn?

  • This course will provide you with skills in Parallel programming, Resource management, and Power optimization within HPC systems.
  • You will understand the designing and management of scalable systems, use accelerators like GPUs and TPUs, and apply the techniques to maximize computational efficiency, making you valuable in fields like data science, engineering, and AI.

Course Content

HPC Cluster

Parallel Programming Modules

Advanced Programming

Power Management & Petascale Exascale computation in HPC

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5,499.00 7,788.00
  • Instructor
    Self Paced
  • Language
    English

Payment :

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Material Includes

  • E-Learning
  • E-Certificate

Requirements

  • Beginners who are looking to get started with high performance computing industry.
  • Familiarity with operating systems and networking concepts.
  • Basic understanding of computer architecture and programming.

Audience

  • Anyone interested in gaining knowledge of high-performance computing and its applications will benefit from this course.
  • This course is ideal for students, professionals, and researchers who are involved in computational science, data analysis, software engineering, or systems architecture.
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