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