Hochan Lee

A Deep Dive into Task-Based Parallelism in Python

BACKWARD: A Victim-Centric DDoS Detection and Mitigation Scheme in Programmable Data Plane

Divide and Cache: A Novel Control Plane Framework for Private 5G Networks

Verification of coarse-grained reconfigurable arrays through random test programs

Kimbap: A Node-Property Map System for Distributed Graph Analytics

Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead

A space- and energy-efficient code Compression/Decompression technique for coarse-grained reconfigurable architectures

Parla: A Python Orchestration System for Heterogeneous Architectures

In-Orbit Aggregator-Empowered Federated Learning Framework for Satellite and Terrestrial-Integrated Networks

Accelerating Federated Learning at Programmable User Plane Function via In-Network Aggregation

Accelerating Convolutional Neural Network Inference in Split Computing: An In-Network Computing Approach

On Performance of Deep Reinforcement Learning-based Listen-Before-Talk (LBT) Scheme

A Study of APIs for Graph Analytics Workloads

Traffic-Aware In-Network Aggregation Placement for Multi-Tenant Distributed Machine Learning

VLCs: Managing Parallelism with Virtualized Libraries

As the complexity and scale of modern parallel machines continue to grow, programmers increasingly rely on composition of software libraries to encapsulate and exploit parallelism. However, many...