Gray Systems Lab

2024年6月11日 | Rana Alotaibi, Hanxian Huang, Tarique Siddiqui, Carlo Curino, Jesús Camacho Rodríguez, 和 Yuanyuan Tian

SIBYL is a machine learning model that makes highly accurate predictions of database queries, enabling tuning for more efficiency. Applying traditional database optimizations to these predicted queries helps maintain high performance as demands change.

2024年6月10日 | Jesús Camacho Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, 和 Raghu Ramakrishnan

LST-Bench is a new open-source benchmark designed to evaluate table formats in cloud environments. It extends existing benchmarks to better reflect real-world usage & performance of data lakes and easily integrates with commonly used analytical engines.

2024年5月13日 | Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, 和 Jesús Camacho Rodríguez

Autoscaling can optimize cloud resource usage and costs by adjusting to demand. VASIM shows that simplifying testing and refinement of autoscaling algorithms can enable rapid development and evaluation of more efficient & cost-effective autoscaling strategies.

2024年2月21日

In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.

2023年9月13日

In this issue: Efficient polyglot analytics on semantic data aids query performance; generative retrieval for conversational question answering improves dialogue-based interfaces; a new tool uses ML to address capacity degradation in lithium-ion batteries.

2020年5月27日

We are announcing Hummingbird, a library for accelerating inference (scoring/prediction) in traditional machine learning models. Internally, Hummingbird compiles traditional ML pipelines into tensor computations to take advantage of the optimizations that are being implemented for neural network systems.

2020年1月7日

    We take an ‘applied research’ approach. Our scientists collaborate with our engineering and product teams to solve hard technical problems. Coupled with a direct line to data, resources, engineers, and the voice of the customer, GSL retains the…