Tutorials

Tutorials: Sunday, August 27, 2023

Time (PDT)	Title	Presenters
7:45AM-8:30AM	Breakfast/Registration
8:30AM-10:30AM	ML Inference Chair: Tom St. John
	ML Inference Overview	Micah Villmow, NVIDIA
	Quantization Methods for Efficient ML Inference	Amir Gholami, UC Berkeley
	ML Inference at the Edge	Felix Baum, Qualcomm
10:30AM-11:00AM	Coffee Break (1/2 hr)
11:00AM-12:15PM	ML Inference Chair: Tom St. John
	PyTorch 2.0	Elias Ellison, Meta
	Hardware Requirements for Exploiting Sparsity in ML Inference	Zhibin Xiao, Moffett AI
12:15PM-1:30PM	Lunch (1 hr 15 min)
1:30PM-3:30PM	Chiplets/UCI Chair: Debendra Das Sharma & Nathan Kalyansundharam
	UCIe Overview & Usage Models	Debendra Das Sharma, Intel & Nathan Kalyansundharam, AMD
	UCIe Protocol	Swadesh Choudhary, Intel & Marvin Denman, NVIDIA
3:30PM-4:00PM	Coffee Break (1/2 hr)
4:00PM-5:30PM	Chiplets/UCI Chair: Debendra Das Sharma & Nathan Kalyansundharam
	Electrical, Form Factor and Compliance	Anwar Kashem, AMD & Gerald Pasdast, Intel
	Software, Manageability & Security	Jérôme Glisse, Google & Sridhar Muthrasanallur, Intel
5:30PM-7:00PM	Reception