The iCAS Lab Ph.D. students, Md Hasibul Amin and MohammadReza Mohammadi have received the Best Poster Award at the GLSCLSI 2025 Conference—a premier venue for disseminating research in VLSI, devices, and system-level design. Earlier this year, this work also earned second place at the CSE Research Symposium.

This is a collaborative work between Dr. Ramtin Zand's lab and Dr. Jason Bakos on a project funded by the National Science Foundation (NSF).

"CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems", by  Md Hasibul Amin, MohammadReza Mohammadi, Jason Bakos, and Ramtin Zand. 

Abstract: This work introduces the CrossNAS framework, an automated approach for exploring a vast, multidimensional search space that spans various design abstraction layers—circuits, architecture, and systems—to optimize the deployment of machine learning workloads on analog processing-in-memory (PIM) systems. CrossNAS leverages the single-path one-shot weight-sharing strategy combined with the evolutionary search for the first time in the context of PIM system mapping and optimization. CrossNAS sets a new benchmark for PIM neural architecture search (NAS), outperforming previous methods in both accuracy and energy efficiency while maintaining comparable or shorter search times.