3D NAND flash has become the foundational non-volatile storage platform of the AI era, underpinning workloads from model training to large-scale inference and cold data archival. With roadmaps now targeting kilolayer stacks and tens of trillions of devices per die, scaling is no longer governed primarily by process int...
Prasanna Venkatesan, T. Song, G. Thareja et al.· 0 citations
Large Language Models (LLMs) are highly effective for cybersecurity question answering (QA) but are difficult to deploy on edge devices due to their size. Quantization reduces memory and compute requirements but often degrades accuracy and increases vulnerability to adversarial attacks. We present EAGER, an edge-aligne...
Onat Gungor, Roshan Sood, Jia-Sheng Zhou et al.· International Symposium on N...· 0 citations
D-NOVA is a hardware-software co-designed in-storage retrieval accelerator that executes an inverted file (IVF)-based hierarchical retrieval pipeline by deeply embedding the search functionality directly into the NAND memory array, and introduces a lightweight contrastive adapter that maps embedding vectors into a DTS-...
ReLATE+ is proposed, a unified framework for adversarially robust and computationally efficient time-series classification that ensures strong performance while reducing the need for retraining, and it generalizes well across different domains with varying data distributions and feature spaces.
C. I. Kocal, Onat Gungor, T. Rosing et al.· Electronics· 0 citations
This work presents CCSwitch, a modular switching fabric built from 4×4 non-blocking Collective Engines, a modular switching fabric built from 4×4 non-blocking Collective Engines (CEs) that combines spatial and temporal parallelism to perform reductions without accumulation buffers.
Sumukh Pinge, Hardik Soni, Bob Lantz et al.· Conference on Applications,...· 0 citations
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