CUDA Advanced Libraries
Coursera
18 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.
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
Tags
Coursera
Coursera
1449 Courses
Coursera
Free Online Course (Audit)
English
25 hours
On-Demand
Intermediate
