How a stubborn computer scientist accidentally launched the deep learning boom
Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.
mccormick.northwestern.edu9 年
COMP_ENG 368, 468: Programming Massively Parallel Processors with CUDA
A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...
mccormick.northwestern.edu5 年
COMP_SCI 368, 468: Programming Massively Parallel Processors with CUDA
The initial part of the course will discuss a popular programming interface for graphics processors, the CUDA programming tools for NVIDIA processors. The course will continue with a closer view of ...
Is NVIDIA (NVDA) Leading Quantum Computing with CUDA-Q?
We recently published a list of 10 Best Quantum Computing Stocks to Buy According to Analysts. In this article, we are going ...
Amazon offers free computing power to AI researchers, aiming to challenge Nvidia
Amazon.com's cloud computing unit on Tuesday said it will offer free computing power to researchers who want to use its ...
CRN9 个月
Deloitte Makes Big Nvidia CUDA AI Play With OpTeamizer Acquisition
‘They work really closely with Nvidia’s CUDA stack. They can help optimize ... clients in things like manufacturing environments, computer vision environments, where you need to process ...