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Biblio
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Filters: Author is Myeongjae Jeon [Clear All Filters]
Metis: Fast Automatic Distributed Training on Heterogeneous GPUs. 2024 USENIX Annual Technical Conference (USENIX ATC 24). :563--578.
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2024. EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. 2023 USENIX Annual Technical Conference (USENIX ATC 23). :851--864.
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2023. Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. 2023 USENIX Annual Technical Conference (USENIX ATC 23). :301--314.
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2023. Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :625--638.
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2022. Sibylla: To Retry or Not To Retry on Deep Learning Job Failure. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :263--270.
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2022. Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. 2021 USENIX Annual Technical Conference (USENIX ATC 21). :161--175.
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2021. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. 2019 USENIX Annual Technical Conference (USENIX ATC 19). :947--960.
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2019. Tiresias: A GPU Cluster Manager for Distributed Deep Learning. 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19). :485--500.
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2019. TerseCades: Efficient Data Compression in Stream Processing. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :307--320.
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2018. StreamBox: Modern Stream Processing on a Multicore Machine. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :617--629.
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2017.