3 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.AR2025
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…
cs.AR2024
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
Pingyi Huo, Anusha Devulapally, Hasan Al Maruf +6
Deep Learning Recommendation Models (DLRMs) have become increasingly popular and prevalent in today's datacenters, consuming most of the AI inference cycles. The performance of DLR…