This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be introduced. Using cuDNN and cuTensor they will be able to develop machine learning applications that help with object detection, human language translation and image classification.
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GPU Programming 专项课程约翰霍普金斯大学课程信息
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第 4 门课程（共 4 门）
中级
Data Science, Algorithms, and/or programming background
完成时间大约为25 小时
英语（English）
字幕：英语（English）
您将学到的内容有
You will learn to develop software that performs high-level mathematics operations using libraries such as cuFFT and cuBLAS.
You will learn to use the Thrust library to perform a number of data manipulation and data structures that abstract away memory management.
You will learn to develop machine learning software for a variety of purposes using neural networks modeled using the cuTensor and cuDNN libraries.
您将获得的技能
- Data Science
- Artificial Neural Network
- Machine Learning
- C++
- Linear Algebra
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 4 门）
中级
Data Science, Algorithms, and/or programming background
完成时间大约为25 小时
英语（English）
字幕：英语（English）
提供方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
授课大纲 - 您将从这门课程中学到什么
完成时间为 5 小时
Course Overview
The purpose of this module is for students to understand how the course will be run, topics, how they will be assessed, and expectations.
完成时间为 5 小时
4 个视频 （总计 19 分钟）
完成时间为 4 小时
cuFFT
cuFFT provides the ability to perform fast Fourier transforms (FFTs) on large datasets. Students will learn of common use cases such as fast multiplication of large polynomials, signal processing, and matrix operations. They will use this library to develop software that process audio or video signals.
完成时间为 4 小时
6 个视频 （总计 33 分钟）, 1 个阅读材料, 1 个测验
完成时间为 4 小时
CUDA Linear Algebra
The CUDA Toolkit includes a number of linear algebra libraries, such as cuBLAS, NVBLAS, cuSPARSE, and cuSOLVER. Students will learn the different capabilities and limitations of many of them and apply that knowledge to compute matrix dot products, determinant, and finding solutions to complex linear systems.
完成时间为 4 小时
6 个视频 （总计 26 分钟）, 1 个阅读材料, 1 个测验
完成时间为 3 小时
The CUDA Thrust Library
Most developers utilize data structures beyond the primitives and pointers that make up the core of CUDA programmers, which makes pure CUDA development difficult. Students will learn about the Thrust library that adds the vector data structure and associated algorithms that allow for simplification of their code. Students will create software that transform, reduction, and sort large datasets.
完成时间为 3 小时
7 个视频 （总计 32 分钟）, 1 个阅读材料, 1 个测验
关于 GPU Programming 专项课程
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.
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