most citedProxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AR2026

Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices

Sumukh Pinge, Chang Eun Song, Po-Kai Hsu +10

Open modification search (OMS) in mass spectrometry (MS) is a data-intensive workload whose performance is dominantly limited by reference data movement rather than computation. Pr…

cs.AR20262 cited

Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND

Weihong Xu, Junwei Chen, Po-Kai Hsu +5

Approximate nearest neighbor search (ANNS) plays an indispensable role in a wide variety of applications, including recommendation systems, information retrieval, and semantic sear…

physics.app-ph2025

Row Hammer Effect and Floating Body Effect of Monolithic 3D Stackable 1T1C DRAM

Sungwon Cho, Po-Kai Hsu, Kiseok Lee +3

Monolithic 3D stackable 1T1C DRAM technology is on the rise, with initial prototypes reported by the industry. This work presents a comprehensive reliability study focusing on the…

cs.AR2025

Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving

Yue Pan, Zihan Xia, Po-Kai Hsu +8

As Large Language Models (LLMs) continue to evolve, Mixture of Experts (MoE) architecture has emerged as a prevailing design for achieving state-of-the-art performance across a wid…

cs.AR2025

SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding

Weihong Xu, Haein Choi, Po-kai Hsu +2

Large language models (LLMs) have demonstrated exceptional proficiency in understanding and generating human language, but efficient inference on resource-constrained embedded devi…