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Woo-Yeon Lee's Projects

alpa icon alpa

Training and serving large-scale neural networks

cruise icon cruise

Cruise: A Distributed Machine Learning Framework with Automatic System Configuration

easyparallellibrary icon easyparallellibrary

Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.

fastflow icon fastflow

FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with data pipeline offloading to remote resources .

harmony icon harmony

Harmony: A new scheduling framework that executes multiple Parameter-Server (PS) Machine Learning (ML) training jobs efficiently to improve cluster resource utilization.

k3s icon k3s

Lightweight Kubernetes

marius icon marius

Large scale graph learning on a single machine.

parallax-1 icon parallax-1

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

pygrid icon pygrid

A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science

pysyft icon pysyft

A library for answering questions using data you cannot see

salus icon salus

Fine-grained GPU sharing primitives

spark-1 icon spark-1

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

tpch-spark icon tpch-spark

TPC-H queries in spark SQL using native DataFrames API

wynot12 icon wynot12

Config files for my GitHub profile.

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