activity
20172026
most citedSimpleSSD: Modeling Solid State Drives for Holistic System Simulation

68 citations · 87 across the 14 of their papers we have counts for

collaborators

14 papers

cs.AR2026

AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance

Seungkwan Kang, Seungjun Lee, Donghyun Gouk +9

Graph neural network (GNN) inference faces significant bottlenecks in preprocessing, which often dominate overall inference latency. We introduce AutoGNN, an FPGA-based accelerator…

cs.OS2023

A Survey on User-Space Storage and Its Implementations

Junzhe Li, Xiurui Pan, Shushu Yi +1

The storage stack in the traditional operating system is primarily optimized towards improving the CPU utilization and hiding the long I/O latency imposed by the slow I/O devices s…

cs.AR2021★ 7 cited

Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution

Jie Zhang, Miryeong Kwon, Donghyun Gouk +4

Large persistent memories such as NVDIMM have been perceived as a disruptive memory technology, because they can maintain the state of a system even after a power failure and allow…

cs.OS2020

FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack

Jie Zhang, Miryeong Kwon, Sanghyun Han +3

Host-side page victimizations can easily overflow the SSD internal buffer, which interferes I/O services of diverse user applications thereby degrading user-level experiences. To a…

cs.AR2020

ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis

Jie Zhang, Myoungsoo Jung

We propose ZnG, a new GPU-SSD integrated architecture, which can maximize the memory capacity in a GPU and address performance penalties imposed by an SSD. Specifically, ZnG replac…

cs.OS2019

Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs

Sungjoon Koh, Junhyeok Jang, Changrim Lee +3

Emerging storage systems with new flash exhibit ultra-low latency (ULL) that can address performance disparities between DRAM and conventional solid state drives (SSDs) in the memo…

cs.DC2019★ 6 cited

Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters

Sungjoon Koh, Jie Zhang, Miryeong Kwon +4

Large-scale systems with all-flash arrays have become increasingly common in many computing segments. To make such systems resilient, we can adopt erasure coding such as Reed-Solom…

cs.AR2019★ 1 cited

FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads

Jie Zhang, Myoungsoo Jung, Mahmut Taylan Kandemir

In this work, we propose FUSE, a novel GPU cache system that integrates spin-transfer torque magnetic random-access memory (STT-MRAM) into the on-chip L1D cache. FUSE can minimize…

cs.AR2018

Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources

Donghyun Gouk, Miryeong Kwon, Jie Zhang +5

SSDs become a major storage component in modern memory hierarchies, and SSD research demands exploring future simulation-based studies by integrating SSD subsystems into a full-sys…

cs.AR2018

CIAO: Cache Interference-Aware Throughput-Oriented Architecture and Scheduling for GPUs

Jie Zhang, Shuwen Gao, Nam Sung Kim +1

A modern GPU aims to simultaneously execute more warps for higher Thread-Level Parallelism (TLP) and performance. When generating many memory requests, however, warps contend for l…

cs.AR2018★ 4 cited

FlashAbacus: A Self-Governing Flash-Based Accelerator for Low-Power Systems

Jie Zhang, Myoungsoo Jung

Energy efficiency and computing flexibility are some of the primary design constraints of heterogeneous computing. In this paper, we present FlashAbacus, a data-processing accelera…

cs.DC2017

Understanding System Characteristics of Online Erasure Coding on Scalable, Distributed and Large-Scale SSD Array Systems

Sungjoon Koh, Jie Zhang, Miryeong Kwon +4

Large-scale systems with arrays of solid state disks (SSDs) have become increasingly common in many computing segments. To make such systems resilient, we can adopt erasure coding…

cs.DC2017★ 1 cited

TraceTracker: Hardware/Software Co-Evaluation for Large-Scale I/O Workload Reconstruction

Miryeong Kwon, Jie Zhang, Gyuyoung Park +5

Block traces are widely used for system studies, model verifications, and design analyses in both industry and academia. While such traces include detailed block access patterns, e…

cs.AR2017★ 68 cited

SimpleSSD: Modeling Solid State Drives for Holistic System Simulation

Myoungsoo Jung, Jie Zhang, Ahmed Abulila +5

Existing solid state drive (SSD) simulators unfortunately lack hardware and/or software architecture models. Consequently, they are far from capturing the critical features of cont…