中This course is targeted to scientists, engineers, scholars, or anyone seeking to solve problems efficiently in high-performance computing environments or in the cloud. Students completing this course will have a basic understanding of how to find bottlenecks in their programs as well as how to address those bottlenecks. The course will provide a high-level introduction to modern compute node architectures of high-performance and cloud computing instances.
Efficient Programming
您将学到什么
Describe the computing and memory architecture of a supercomputing node or cloud computing instance
Utilize compiler and libraries to increase the performance of your program
Understand how to utilize vector operations of a modern microprocessor to maximize performance
Use OpenMP directives to improve vectorization of your programs
要了解的详细信息
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August 2025
作业
5 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 High-Performance and Parallel Computing 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有5个模块
In this module, we cover an approach to analyze and optimize program performance, such as profiling, using optimized libraries, and compiler options for increasing efficiency.
涵盖的内容
5个视频2篇阅读材料1个作业1个编程作业
In this module, we examine simple techniques that help with program performance. We are looking at scalar and loop optimization methods that can have a large impact on a program’s floating-point performance.
涵盖的内容
5个视频1个作业1个编程作业
In this module, we introduce the basic architecture of modern computers focusing on how the architecture influences program performance. We are looking at processor level data parallelism and how optimized code for parallelism has a much increased floating-point performance.
涵盖的内容
4个视频1个作业1个编程作业
Memory performance is generally the main performance bottleneck since the speed of the main memory has not kept up with the capabilities of processors to process floating-point numbers. We introduce how layers of fast memory, called cache memory, can speed up computations and provide an example of how to optimize algorithms for better memory performance.
涵盖的内容
4个视频1个作业1个编程作业
This module will provide an introduction to parallel and high throughput computing. It will also demonstrate slurm job arrays, where there are mechanisms for working with many similar jobs quickly and easily. Finally, this module will look at running many jobs concurrently with GNU Parallel.
涵盖的内容
4个视频1个作业1个编程作业
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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