CUDA Advanced Libraries

Johns Hopkins University via Coursera

Coursera

24 Courses


Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.

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Overview

Embark on a comprehensive journey into the realm of GPU computing with the "CUDA Advanced Libraries" course, proudly presented by Johns Hopkins University through Coursera. This pivotal training completes the GPU specialization series, dedicating itself to the mastery of CUDA Toolkit's premier libraries. Participants will immerse themselves in the utilization of CuFFT and advanced linear algebra libraries to execute sophisticated mathematical operations. Discover the power of the Thrust library, famed for its efficient representation of common data structures and related algorithms. Venture further into the realms of machine learning with hands-on experiences using cuDNN and cuTensor; technologies that are revolutionizing the fields of object detection, human language translation, and image classification. This course falls under essential categories including Neural Networks, Linear Algebra, CUDA, and Signal Processing, making it a must-enroll for aspiring experts in these domains.

Syllabus


Taught by

Chancellor Thomas Pascale


Tags

united states

provider Coursera

Coursera

1501 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 25 hours
sessions On-Demand
level Intermediate