What You Need to Know Before
You Start
Starts 27 June 2025 09:16
Ends 27 June 2025
CUDA Advanced Libraries
Johns Hopkins University
35 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.
Not Specified
Optional upgrade avallable
All Levels
Progress at your own speed
Free
Optional upgrade avallable
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.
Taught by
Chancellor Thomas Pascale
