Synchronization-aware NAS for an Efficient Collaborative Inference on Mobile Platforms (LCTES 2023 - Languages, Compilers, Tools and Theory of Embedded Systems)

Sat 17 - Wed 21 June 2023 Orlando, Florida, United States

Who

Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park

Track

LCTES 2023

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When

Sun 18 Jun 2023 10:20 - 10:40 at Magnolia 7-8 - LCTES: Code Gen Chair(s): Bernhard Egger

DOI

https://doi.org/10.1145/3589610.3596284

Beom Woo Kang

Hanyang University

Junho Wohn

Hanyang University

Seongju Lee

Hanyang University

South Korea

Sunghyun Park

University of Michigan

United States

Yung-Kyun Noh

Hanyang University

Yongjun Park

Yonsei University

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

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Session Program

Sun 18 Jun
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10:00 - 11:00	LCTES: Code GenLCTES at Magnolia 7-8 Chair(s): Bernhard Egger Seoul National University #lctes-1000-codegen-magnolia78

10:00 20m Talk		Facilitating the Bootstrapping of a New ISA LCTES Abigail Mortensen Florida State University, Scott Pomerville Michigan Technological University, David B. Whalley Florida State University, Soner Onder Michigan Technological University, Gang-Ryung Uh Florida State University DOI
10:20 20m Talk		Synchronization-aware NAS for an Efficient Collaborative Inference on Mobile Platforms LCTES Beom Woo Kang Hanyang University, Junho Wohn Hanyang University, Seongju Lee Hanyang University, Sunghyun Park University of Michigan, Yung-Kyun Noh Hanyang University, Yongjun Park Yonsei University DOI
10:40 20m Talk		MinUn: Accurate ML Inference on MicrocontrollersVirtual LCTES Shikhar Jaiswal Microsoft Research, Rahul Kranti Kiran Goli Microsoft Research, Aayan Kumar Microsoft Research, Vivek Seshadri Microsoft Research, Rahul Sharma Microsoft Research DOI Pre-print Media Attached