NVIDIA will be hosting a Tech Talk on Monday, September 9, 2019 from 7:30pm - 9:00pm in ECEB 1015.
Attend for a chance to win an NVIDIA Jetson Nano!
Speakers:
Rishi Thakkar (Deep Learning Inference Engineer, TensorRT)
Over the last decade, major strides in parallel computing have resulted in numerous breakthroughs for the field of deep learning. Deep learning's holy grail applications such as level 5 autonomous driving or conversational Al require performing inference in real-time. In this talk, we will discuss how TensorRT accelerates these real-time, on-the-edge inference applications. We will cover some of the hardware/software strategies used by TensorRT when optimizing deep learning inference.
Emmett Kilgariff (Vice President, GPU Architecture)
GPUs are one the most complicated silicon chips designed, serving many applications and offering an order of magnitude more performance than other architectures. This talk will go through the challenges, from Architecture, software, logic design, to analog and physical design, and more.
Sign up: bit.ly/uiucecetalk
