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High-Performance and Parallel Computing

Unlock the power of modern computing systems with this hands-on specialization designed for scientists, engineers, scholars, and technical professionals....

By University of Colorado Boulder on Coursera

About This Course

Unlock the power of modern computing systems with this hands-on specialization designed for scientists, engineers, scholars, and technical professionals. Whether you're working with large datasets, building machine learning models, or running complex simulations, high-performance computing (HPC) skills can significantly accelerate your work. Throughout the specialization, you'll build a strong foundation in parallel and distributed computing. You’ll start by learning the basics of Linux environments, shell scripting, and strategies for writing optimized code. You’ll explore how to identify and resolve performance bottlenecks using profiling tools and gain a high-level understanding of modern HPC and cloud architectures. Finally, you’ll dive into parallel programming using the Message Passing Interface (MPI) for scalable code in distributed systems. By the end of this specialization, you’ll be equipped with practical tools and techniques to write efficient, scalable code for high-performance environments. Prior experience with C, C++, or Python is recommended.

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Frequently Asked Questions

How much does High-Performance and Parallel Computing cost?

High-Performance and Parallel Computing costs $49. Check the course page for current pricing and available discounts.

Who teaches High-Performance and Parallel Computing?

High-Performance and Parallel Computing is taught by University of Colorado Boulder, University of Colorado Boulder.

What skill level is High-Performance and Parallel Computing for?

This course is designed for beginner learners.

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$49.00
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Students0
DurationSelf-paced
LevelBeginner
Languageen
PlatformCoursera