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Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important Knobs.

, , and . HotStorage, USENIX Association, (2020)

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MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks., , , and . EuroSys, page 144-161. ACM, (2023)Blox: A Modular Toolkit for Deep Learning Schedulers., , and . EuroSys, page 1093-1109. ACM, (2024)Parity Models: A General Framework for Coding-Based Resilience in ML Inference., , and . CoRR, (2019)Marius: Learning Massive Graph Embeddings on a Single Machine., , , , and . OSDI, page 533-549. USENIX Association, (2021)Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important Knobs., , and . HotStorage, USENIX Association, (2020)Accelerating Deep Learning Inference via Freezing., , , and . CoRR, (2020)GraphSnapShot: Graph Machine Learning Acceleration with Fast Storage and Retrieval., , , and . CoRR, (2024)Demonstration of Marius: Graph Embeddings with a Single Machine., , , , , , and . Proc. VLDB Endow., 14 (12): 2759-2762 (2021)Serverless Event-Stream Processing over Virtual Actors., , , , , and . CIDR, www.cidrdb.org, (2019)Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems., , , , , and . SC, page 65:1-65:15. IEEE, (2022)