"GIM (Ghost In the Machine): A Coarse-Grained Reconfigurable ..."

Maya Borowicz et al. (2024)

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DOI: 10.1109/IPDPSW63119.2024.00126

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-07

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Maya Borowicz, James Ding, Winnie Fan, Zhongqi Gao, Davis Jackson, Ares Lu, Sophia Rohlfsen, Ray Simar:
GIM (Ghost In the Machine): A Coarse-Grained Reconfigurable Compute-In-Memory Platform for Exploring Machine-Learning Architectures. IPDPS (Workshops) 2024: 658-663

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