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categories description image session_attendee_num session_id session_room session_slot session_speakers session_track tag tags title youtube_video_url amazon_s3_presentation_url amazon_s3_video_url
bkk19
GPUs are often used to accelerate machine learning inference as they offer improvements in performance over standard processors. FPGAs, however, have unique capabilities that offer performance advantages over both CPUs and GPUs. This session will introduce those capabilities and explore some metrics.
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/assets/images/featured-images/bkk19/BKK19-321.png
39
BKK19-321
Session Room 3 (Lotus 10)
end_time start_time
2019-04-03 14:25:00
2019-04-03 14:00:00
speaker_bio speaker_company speaker_image speaker_location speaker_name speaker_position speaker_username
Experienced Technical Marketing Engineer with over 20 years experience in the semiconductor industry, most of them with Xilinx as both a Field Application Engineer and more recently, in marketing. Prior to that, did actual embedded design on the earliest 32-bit processors for both aerospace and commercial applications.
Xilinx
/assets/images/speakers/bkk19/craig-abramson.jpg
Craig Abramson
Marketing
abramson3
Machine Learning/AI
session
IoT and Embedded
BKK19-321 - FPGAs for Highest Performance Inference
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