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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to provision a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Register for this course and see more details by visiting:
OpenCourser.com/course/2pxxrq/deploy
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Teaches learners how to provision dynamically scalable HPC clusters, a core skill for data scientists and researchers
Learners will work in the Google Cloud console, providing hands-on experience with industry-standard tools
Google Cloud Training delivers the course, indicating a high standard of instruction
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Save Deploy an Auto-Scaling HPC Cluster with Slurm to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Deploy an Auto-Scaling HPC Cluster with Slurm with these
activities:
Review basic computer science theory
Show steps
Review basic computer science theory to strengthen foundational knowledge and improve understanding of advanced concepts covered in the course.
Browse courses on
Computer Science Theory
Show steps
-
Review data structures such as arrays, linked lists, and trees.
-
Practice implementing basic algorithms such as sorting and searching.
Review 'High Performance Computing'
Show steps
Expand knowledge of HPC by reviewing the foundational concepts and architectures covered in the book 'High Performance Computing'.
View
Data-parallel Programming on MIMD Computers
on Amazon
Show steps
-
Read and understand the basic concepts of HPC.
-
Review different HPC architectures and their advantages.
Review parallel programming concepts
Show steps
Strengthen understanding of parallel programming concepts to enhance comprehension of HPC topics covered in the course.
Browse courses on
Parallel Programming
Show steps
-
Review different parallel programming models.
-
Practice writing parallel programs.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems on HPC topics
Show steps
Reinforce understanding of HPC concepts by solving practice problems and exercises.
Browse courses on
HPC
Show steps
-
Solve problems on parallel programming techniques.
-
Practice designing scalable and efficient distributed systems.
Follow tutorials on Google Cloud Compute Engine
Show steps
Supplement course materials by following guided tutorials on Google Cloud Compute Engine to gain hands-on experience and practical understanding.
Browse courses on
Cloud Computing
Show steps
-
Complete the Google Cloud Compute Engine Quickstart tutorial.
-
Follow a tutorial on creating and managing virtual machines.
Develop a simple web application using Google Cloud
Show steps
Apply course concepts by developing a simple web application using Google Cloud to reinforce understanding and gain practical experience.
Browse courses on
Web Application Development
Show steps
-
Design a simple web application.
-
Create a Google Cloud project.
-
Deploy your application to Google Cloud.
Contribute to open-source HPC projects
Show steps
Gain practical experience and contribute to the HPC community by participating in open-source projects.
Browse courses on
HPC
Show steps
-
Identify open-source HPC projects.
-
Contribute to existing projects or propose and implement new features.
Mentor junior HPC learners
Show steps
Enhance understanding and deepen knowledge by mentoring junior HPC learners, providing guidance and support.
Browse courses on
HPC
Show steps
-
Identify junior HPC learners who need guidance.
-
Provide support and guidance on HPC concepts and practices.
Review basic computer science theory
Show steps
Review basic computer science theory to strengthen foundational knowledge and improve understanding of advanced concepts covered in the course.
Browse courses on
Computer Science Theory
Show steps
Show steps
Show steps
- Review data structures such as arrays, linked lists, and trees.
- Practice implementing basic algorithms such as sorting and searching.
Review 'High Performance Computing'
Show steps
Expand knowledge of HPC by reviewing the foundational concepts and architectures covered in the book 'High Performance Computing'.
View
Data-parallel Programming on MIMD Computers
on Amazon
Show steps
Show steps
Show steps
- Read and understand the basic concepts of HPC.
- Review different HPC architectures and their advantages.
Review parallel programming concepts
Show steps
Strengthen understanding of parallel programming concepts to enhance comprehension of HPC topics covered in the course.
Browse courses on
Parallel Programming
Show steps
Show steps
Show steps
- Review different parallel programming models.
- Practice writing parallel programs.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems on HPC topics
Show steps
Reinforce understanding of HPC concepts by solving practice problems and exercises.
Browse courses on
HPC
Show steps
Show steps
Show steps
- Solve problems on parallel programming techniques.
- Practice designing scalable and efficient distributed systems.
Follow tutorials on Google Cloud Compute Engine
Show steps
Supplement course materials by following guided tutorials on Google Cloud Compute Engine to gain hands-on experience and practical understanding.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Complete the Google Cloud Compute Engine Quickstart tutorial.
- Follow a tutorial on creating and managing virtual machines.
Develop a simple web application using Google Cloud
Show steps
Apply course concepts by developing a simple web application using Google Cloud to reinforce understanding and gain practical experience.
Browse courses on
Web Application Development
Show steps
Show steps
Show steps
- Design a simple web application.
- Create a Google Cloud project.
- Deploy your application to Google Cloud.
Contribute to open-source HPC projects
Show steps
Gain practical experience and contribute to the HPC community by participating in open-source projects.
Browse courses on
HPC
Show steps
Show steps
Show steps
- Identify open-source HPC projects.
- Contribute to existing projects or propose and implement new features.
Mentor junior HPC learners
Show steps
Enhance understanding and deepen knowledge by mentoring junior HPC learners, providing guidance and support.
Browse courses on
HPC
Show steps
Show steps
Show steps
- Identify junior HPC learners who need guidance.
- Provide support and guidance on HPC concepts and practices.
Career center
Learners who complete Deploy an Auto-Scaling HPC Cluster with Slurm will develop knowledge and skills
that may be useful to these careers:
HPC Engineer
HPC Engineer
An HPC Engineer is a technology professional who designs, builds, and manages high-performance computing systems. They use their knowledge of HPC technologies to develop and implement solutions that meet the business needs of their organization. This course may be useful for HPC Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a technology professional who develops and deploys machine learning models. They use their knowledge of machine learning principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Machine Learning Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Software Engineer
Software Engineer
A Software Engineer is a technology professional who designs, develops, and maintains software systems. They use their knowledge of software engineering principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Software Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Data Analyst
Data Analyst
A Data Analyst is a technology professional who uses data to solve problems and make decisions. They use their knowledge of data analysis principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Data Analysts who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Cloud Architect
Cloud Architect
A Cloud Architect is a technology professional who designs, builds, maintains, and manages cloud computing systems. They use their knowledge of cloud computing technologies to develop and implement solutions that meet the business needs of their organization. This course may be useful for Cloud Architects who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
DevOps Engineer
DevOps Engineer
A DevOps Engineer is a technology professional who works to bridge the gap between development and operations teams. They use their knowledge of both software development and operations to help organizations deliver software faster and more efficiently. This course may be useful for DevOps Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is a technology professional who designs, builds, and manages cloud computing systems. They use their knowledge of cloud computing technologies to develop and implement solutions that meet the business needs of their organization. This course may be useful for Cloud Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Data Scientist
Data Scientist
A Data Scientist is a technology professional who uses data to solve problems and make decisions. They use their knowledge of data science principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Data Scientists who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Systems Administrator
Systems Administrator
A Systems Administrator is a technology professional who manages and maintains computer systems. They use their knowledge of operating systems, networking, and security to keep systems running smoothly and securely. This course may be useful for Systems Administrators who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Software Developer
Software Developer
A Software Developer is a technology professional who designs, develops, and maintains software systems. They use their knowledge of software engineering principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Software Developers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Research Scientist
Research Scientist
A Research Scientist is a scientist who conducts research in a specific field. They use their knowledge of science and research methods to develop new knowledge and technologies. This course may be useful for Research Scientists who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Systems Engineer
Systems Engineer
A Systems Engineer is a technology professional who designs and implements technology solutions. They use their knowledge of technology principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Systems Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Cloud Security Engineer
Cloud Security Engineer
A Cloud Security Engineer is a technology professional who designs and implements security measures for cloud computing systems. They use their knowledge of cloud security principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for Cloud Security Engineers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
Technical Architect
Technical Architect
A Technical Architect is a technology professional who designs and develops the architecture of a system. They use their knowledge of technology and architecture principles to develop and implement solutions that meet the business needs of their organization. This course may be useful for Technical Architects who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
IT Manager
IT Manager
An IT Manager is a technology professional who manages the IT infrastructure of an organization. They use their knowledge of IT management principles and practices to develop and implement solutions that meet the business needs of their organization. This course may be useful for IT Managers who want to learn how to provision and manage a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm Workload Manager.
For more career information including salaries, visit:
OpenCourser.com/course/2pxxrq/deploy
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deploy an Auto-Scaling HPC Cluster with Slurm.
Provides a comprehensive overview of cloud computing concepts, architectures, and technologies. While it does not focus specifically on HPC, it offers a valuable foundation for understanding the cloud infrastructure used in the course.
Save
This textbook covers principles and patterns for designing data-intensive applications. It would be useful for learners who want to gain knowledge in designing and developing scalable HPC applications.
Save
Provides a comprehensive overview of big data analytics, including data management, analytics techniques, and use cases. While not specific to HPC, it offers a valuable foundation for understanding the role of HPC in big data processing and analysis.
Provides a comprehensive overview of numerical optimization techniques. While not specific to HPC, optimization techniques are commonly used in HPC applications for solving complex scientific and engineering problems.
Offers a deep dive into Linux kernel internals and system programming techniques. While not directly related to HPC, it provides valuable background knowledge for understanding the underlying operating system used in the course.
This reference guide provides comprehensive information about the Google Cloud Platform. It would be a helpful resource for learners who want to learn more about the platform and how to use it for HPC applications.
Save
Provides a simplified overview of HPC concepts and technologies. It would be suitable for learners who are new to HPC and want to gain a basic understanding of the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2pxxrq/deploy
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Good to know
Teaches learners how to provision dynamically scalable HPC clusters, a core skill for data scientists and researchers
Learners will work in the Google Cloud console, providing hands-on experience with industry-standard tools
Google Cloud Training delivers the course, indicating a high standard of instruction
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