Chevron Left
Introduction to High-Performance and Parallel Computing に戻る

コロラド大学ボルダー校(University of Colorado Boulder) による Introduction to High-Performance and Parallel Computing の受講者のレビューおよびフィードバック

3.0
65件の評価

コースについて

This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux environments and bash scripting all the way to high throughput computing and parallelizing code. We recommend you are familiar with either Fortran 90, C++, or Python to complete some of the programming assignments. After completing this course, you will familiar with: *The components of a high-performance distributed computing system *Types of parallel programming models and the situations in which they might be used *High-throughput computing *Shared memory parallelism *Distributed memory parallelism *Navigating a typical Linux-based HPC environment *Assessing and analyzing application scalability including weak and strong scaling *Quantifying the processing, data, and cost requirements for a computational project or workflow This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

人気のレビュー

フィルター:

Introduction to High-Performance and Parallel Computing: 26 - 32 / 32 レビュー

by Kapil S S

2021年12月9日

by Leticia C

2021年11月3日

by N. J J

2021年10月24日

by Merckel Y

2021年11月12日

by Kyle S

2022年6月15日

by QIULIN R

2022年9月18日

by Кирило П

2022年11月18日