Master the fundamentals of HPC systems, parallel programming, and distributed computing for scientific applications.
Master the fundamentals of HPC systems, parallel programming, and distributed computing for scientific applications.
This comprehensive course introduces the essentials of high-performance and parallel computing for scientists, engineers, and researchers. Students learn to navigate Linux-based HPC environments, understand distributed computing systems, and develop parallel programming skills. The curriculum covers fundamental concepts from basic Linux commands to advanced topics in parallel efficiency and scalability. Participants gain practical experience with job submission, resource management, and performance optimization techniques.
3.5
(118 ratings)
16,345 already enrolled
Instructors:
English
21 languages available
What you'll learn
Navigate Linux-based HPC environments effectively
Understand distributed computing system components
Master parallel programming concepts and models
Conduct performance analysis and scaling studies
Develop skills in HPC job submission and management
Skills you'll gain
This course includes:
121 Minutes PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to high-performance and parallel computing fundamentals. Students learn to navigate Linux-based HPC environments and understand the components of distributed computing systems. The curriculum covers essential topics including basic Linux commands, bash scripting, job submission with SLURM, parallel programming models, and performance optimization. Through hands-on assignments and practical exercises, participants learn to assess application scalability, conduct scaling studies, and optimize computational workflows.
High-Performance Computing (HPC) for Non-Computer Scientists
Module 1 · 4 Hours to complete
Nuts and Bolts of HPC
Module 2 · 2 Hours to complete
Basic Parallelism
Module 3 · 3 Hours to complete
Evaluating Parallel Program Performance
Module 4 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Advocate for Research Computing and Data Management
Shelley Knuth serves as the Associate Director of User Services in the Research Computing group at the University of Colorado Boulder, where she plays a pivotal role in enhancing the user experience for researchers. Her responsibilities include leading support initiatives that help scientists optimize their research through effective data management practices. In addition to her primary role, she is the Director of Education and Training at the Center for Research Data and Digital Scholarship (CRDDS), a collaborative effort with CU Libraries aimed at improving research capabilities across disciplines. Dr. Knuth earned her Ph.D. in Atmospheric and Oceanic Sciences in Spring 2014, which complements her expertise in research computing. Her work is instrumental in facilitating high-performance computing resources, such as the Alpine supercomputer, to advance scientific research and innovation within the university community.
Leader in Research Computing and Cyberinfrastructure
Dr. Thomas Hauser is the Director of Research Computing at the University of Colorado Boulder, where he oversees the operation of a supercomputer, research data storage services, and a network designed for efficient large data transfers. His team provides essential training and consulting in computational science, engineering, and data management to researchers and students at CU Boulder. In addition to his role in research computing, Dr. Hauser serves as one of the executive directors of the Center for Research Data and Digital Scholarship and chairs the Rocky Mountain Advanced Computing Consortium (RMACC), which fosters collaboration on cyberinfrastructure projects across the Rocky Mountain region. Notably, he played a key role in the development of the RMACC Summit supercomputer, a partnership between CU Boulder and Colorado State University that allocates compute cycles to member institutions. Dr. Hauser's extensive background includes previous leadership positions at Utah State University and Northwestern University, along with a Ph.D. in mechanical engineering specializing in computational fluid dynamics from the University of Technology in Munich, Germany. His work is characterized by a commitment to advancing research capabilities through innovative computing solutions and collaborative initiatives that support scientific inquiry across disciplines.
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3.5 course rating
118 ratings
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