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20182026
most citedA Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses

73 citations · 130 across the 15 of their papers we have counts for

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18 papers · 1 filter

cs.AR2026

CertiFlash: A Formal Verification Framework for Flash Translation Layers in Computational Solid State Drives

Harshita Gupta, Mayank Kabra, Rakesh Nadig +10

Data-intensive applications move large amounts of data from storage to the compute unit, incurring significant data movement overhead. Storage-centric computing reduces this overhe…

cs.AR2025

SAGe: A Lightweight Algorithm-Architecture Co-Design for Mitigating the Data Preparation Bottleneck in Large-Scale Genome Sequence Analysis

Nika Mansouri Ghiasi, Talu Güloglu, Harun Mustafa +8

Genome sequence analysis, which examines the DNA sequences of organisms, drives advances in many critical medical and biotechnological fields. Given its importance and the exponent…

cs.AR2025

Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning

Rakesh Nadig, Vamanan Arulchelvan, Rahul Bera +7

Modern high-performance computing (HPC) environments rely on hybrid storage systems (HSS) that combine multiple storage devices with diverse latency, bandwidth, endurance, and capa…

cs.AR2024★ 1 cited

MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing

Nika Mansouri Ghiasi, Mohammad Sadrosadati, Harun Mustafa +9

Metagenomics has led to significant advances in many fields. Metagenomic analysis commonly involves the key tasks of determining the species present in a sample and their relative…

cs.AR2023

MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing

Nika Mansouri Ghiasi, Mohammad Sadrosadati, Harun Mustafa +9

Metagenomics has led to significant advancements in many fields. Metagenomic analysis commonly involves the key tasks of determining the species present in a sample and their relat…

cs.AR2023★ 29 cited

Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses

Rakesh Nadig, Mohammad Sadrosadati, Haiyu Mao +6

The performance and capacity of solid-state drives (SSDs) are continuously improving to meet the increasing demands of modern data-intensive applications. Unfortunately, communicat…