This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.
Integrated versus Dedicated GPUs
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Destrezas que aprenderás
Cuda, Python Programming, Thread (Computing), C++
De la lección
NVidia GPU Hardware/Software
The purpose of this module is for students to understand the basis in hardware and software that CUDA uses. This is required to appropriately develop software to optimally take advantage of GPU resources.
Impartido por:
Chancellor Thomas Pascale
Instructor and Software Engineer
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