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DTSTAMP:20240626T180034Z
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DTSTART;TZID=America/Los_Angeles:20240623T080000
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UID:dac_DAC 2024_sess210_WKSHP104@linklings.com
SUMMARY:DCgAA 2024: International Workshop on DL-Hardware Co-Design for Ge
 nerative AI Acceleration
DESCRIPTION:Workshop\n\nDongkuan Xu (North Carolina State University), Hua
  Wei (Arizona State University), Ang Li (University of Maryland), Tinoosh 
 Mohsenin (Johns Hopkins University), Peipei Zhou (University of Pittsburgh
 ), Caiwen Ding (University of Connecticut), Yingyan (Celine) Lin (Georgia 
 Institute of Technology), and Yanzhi Wang (Northeastern University)\n\nIn 
 the ever-evolving domain of computational technologies, the profound impac
 t of artificial intelligence (AI) is indisputable. The DCgAA 2024 Workshop
  stands at the forefront of this revolution, offering an essential platfor
 m for synergizing deep learning (DL) models with advanced hardware system 
 designs. This second iteration of our workshop is dedicated to exploring a
 nd fortifying the symbiotic relationship between DL and hardware innovatio
 n, especially in the context of generative AI applications. Deep learning'
 s integration across various computing sectors necessitates robust hardwar
 e solutions to amplify model performance and efficiency. However, current 
 DL research often overlooks critical real-world computational constraints 
 such as power efficiency, memory usage, and scalability of model sizes. Th
 is oversight limits the practical deployment of AI innovations, particular
 ly in scenarios requiring high computational efficiency like mobile device
 s, AR/VR technologies, and other edge computing environments. Our workshop
  aims to bridge this gap by fostering discussions and research on optimizi
 ng hardware designs specifically tailored for generative AI applications. 
 We will delve into the unique computational demands of these models and th
 e necessity of hardware systems that can adapt to their complex requiremen
 ts. This approach is pivotal for realizing the full potential of DL innova
 tions and ensuring their effective application in real-world scenarios.\n\
 n8:00am - Opening Remarks\n8:00am-8:50am - Keynote 1: Andreas Andreou (JHU
 )\n8:50am-9:40am - Keynote 2: Farinaz Koushanfar (UCSD)\n9:40am-10:30am - 
 Keynote 3: Massoud Pedram (USC)\n10:30am-10:40am - Break & Poster\n10:40am
 -11:30am - Keynote 4: Vijay Janapa Reddi (Harvard)\n11:30am-12:20pm - Keyn
 ote 5: Zhibin Xiao (CASPA & AI Startup)\n12:20pm - Closing Remarks\n\nTopi
 c: AI
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