Alexander Sim

According to our database, Alexander Sim authored at least 13 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Serving Deep Learning Models from Relational Databases.

Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.

Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Adaptive Optimization for Sparse Data on Heterogeneous GPUs.

Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures.

Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.

Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription.

Hanul Sung, Jiwoo Bang, Chungyong Kim, Hyung-Sin Kim, Alexander Sim, Glenn K. Lockwood, Hyeonsang Eom

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Understanding Parallel I/O Performance Trends Under Various HPC Configurations.

Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom

Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.

Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Detecting Anomalies in the LCLS Workflow.

Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.

David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2012

Efficient Attribute-Based Data Access in Astronomy Analysis.

Benson Ma, Arie Shoshani, Alexander Sim, Kesheng Wu, Yong-Ik Byun, Jaegyoon Hahm, Min-Su Shin

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2010

EFFIS: An End-to-end Framework for Fusion Integrated Simulation.

Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto

Proceedings of the 18th Euromicro Conference on Parallel, 2010

Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis.

Daren Hasenkamp, Alexander Sim, Michael F. Wehner, Kesheng Wu

Proceedings of the Cloud Computing, Second International Conference, 2010