7 citations · 14 across the 9 of their papers we have counts for
9 papers
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…
MPI-over-CXL: Enhancing Communication Efficiency in Distributed HPC Systems
Miryeong Kwon, Donghyun Gouk, Hyein Woo +10
MPI implementations commonly rely on explicit memory-copy operations, incurring overhead from redundant data movement and buffer management. This overhead notably impacts HPC workl…
From Block to Byte: Transforming PCIe SSDs with CXL Memory Protocol and Instruction Annotation
Miryeong Kwon, Donghyun Gouk, Junhyeok Jang +8
This paper explores how Compute Express Link (CXL) can transform PCIe-based block storage into a scalable, byte-addressable working memory. We address the challenges of adapting bl…
CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies
Donghyun Gouk, Seungkwan Kang, Seungjun Lee +8
This work introduces a GPU storage expansion solution utilizing CXL, featuring a novel GPU system design with multiple CXL root ports for integrating diverse storage media (DRAMs a…
Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation
Miryeong Kwon, Donghyun Gouk, Eunjee Na +9
ISP minimizes data transfer for analytics but faces challenges in adaptation and disaggregation. We propose DockerSSD, an ISP model leveraging OS-level virtualization and lightweig…
GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets
Junhyeok Jang, Miryeong Kwon, Donghyun Gouk +2
We present GraphTensor, a comprehensive open-source framework that supports efficient parallel neural network processing on large graphs. GraphTensor offers a set of easy-to-use pr…
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
Miryeong Kwon, Donghyun Gouk, Sangwon Lee +1
Graph neural networks (GNNs) process large-scale graphs consisting of a hundred billion edges. In contrast to traditional deep learning, unique behaviors of the emerging GNNs are e…
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…
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…