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CASES 2024: Raleigh, NC, USA

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, CASES 2024, Raleigh, NC, USA, September 29 - Oct. 4, 2024. IEEE 2024, ISBN 979-8-3503-5637-3
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Andy D. Pimentel:
Education Abstract: Design Space Exploration for Deep Learning at the Edge. 1-2
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Salim Ullah, Siva Satyendra Sahoo, Akash Kumar:
Enabling Energy-efficient AI Computing: Leveraging Application-specific Approximations : (Education Class). 3-4
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Venkat Nitin Patnala, Sai Manoj Pudukotai Dinakarrao, Guru Venkataramani, Jie Chen, Preet Derasari, Milos Doroslovacki, Fan Yao, Hongyu Fang, Meron Demissie, Todd M. Austin, Lauren Biernacki, Saket Upadhyay, Arnabjyoti Kalita, Ashish Venkat:
Special Session: Detecting and Defending Vulnerabilities in Heterogeneous and Monolithic Systems: Current Strategies and Future Directions. 5-14
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Jason K. Eshraghian, Rui-Jie Zhu:
What do Transformers have to learn from Biological Spiking Neural Networks? 15-16
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Marcello Traiola, Angeliki Kritikakou, Silviu-Ioan Filip, Olivier Sentieys:
Efficient Neural Networks: from SW optimization to specialized HW accelerators. 17-18
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Aviral Shrivastava, Vinayak Sharma:
Primer on Data in Quantum Machine Learning. 19-20
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Amir H. Ashouri, Muhammad Asif Manzoor, Minh Vu, Raymond Zhang, Ziwen Wang, Angel Zhang, Bryan Chan, Tomasz S. Czajkowski, Yaoqing Gao:
Work-in-Progress:ACPO: An AI-Enabled Compiler Framework. 21
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Youki Sada, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka:
Work-in-Progress: Temporal RegionDrop - Frame Difference Sparsity for Efficient Video Inference. 22

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