51 papers
Experimental Study on System-Level Performance Impact of Read Disturbance in Modern SSDs
Yonggon Park, Hyunuk Cho, Onur Mutlu +2
This work investigates the system-level performance impact of read disturbance in modern NAND flash-based SSDs, aiming to provide new insights that can help develop better storage…
Exploring High-Bandwidth Flash for Modern LLM Inference: Opportunities and Challenges
Dowon Son, Yonggon Park, Hyunuk Cho +5
This work investigates the potential benefits and technical challenges of using high-bandwidth flash (HBF) for large language model (LLM) inference. HBF has gained increasing atten…
Demystifying DRAM Read Disturbance: Bridging the Gap Between Experimental Characterization and Device-Level Modeling of RowHammer and RowPress Phenomena
Haocong Luo, Longda Zhou, Ataberk Olgun +5
The paper links experimental observations of DRAM read‑disturbance errors (RowHammer and RowPress) with detailed device‑level models using TCAD simulations, identifying gaps and up…
DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
Peiming Yang, Sankeerth Durvasula, Ivan Fernandez +4
High-performance Host processors can integrate Processing-In-Memory (PIM) devices, which can accelerate memory-intensive kernels of Machine Learning (ML) models, including Large La…
Enabling Fast, Efficient, and Low-Cost Genomic and Metagenomic Analyses via Storage-Centric System Designs
Nika Mansouri Ghiasi, Onur Mutlu
Due to the challenges of analyzing and storing massive volumes of genomic and metagenomic sequence data, significant efforts have been made to accelerate (meta)genomic analyses and…
GRAINS: Storage-Aware Algorithm-Architecture Co-Design Enabling High-Performance and Low-Cost Graph-Based Genome Analysis
Nika Mansouri Ghiasi, Harun Mustafa, Talu Güloglu +8
Graph-based representations of genome sequences have emerged as a powerful approach for representing massive genomic databases in an expressive and efficient way. Despite their ben…