Taegeon Um

Orcid: 0000-0002-4372-6712

According to our database1, Taegeon Um authored at least 9 papers between 2017 and 2023.

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Bibliography

2023
FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline.
Proc. VLDB Endow., 2023

Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022
PokéMem: Taming Wild Memory Consumers in Apache Spark.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Pluto: High-Performance IoT-Aware Stream Processing.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020
Apache Nemo: A Framework for Optimizing Distributed Data Processing.
ACM Trans. Comput. Syst., 2020

2018
High-Performance Stateful Stream Processing on Solid-State Drives.
Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2017
Apache REEF: Retainable Evaluator Execution Framework.
ACM Trans. Comput. Syst., 2017

Scaling Up IoT Stream Processing.
Proceedings of the 8th Asia-Pacific Workshop on Systems, Mumbai, India, September 2, 2017, 2017


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