69 citations · 108 across the 15 of their papers we have counts for
15 papers
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems
Shaolun Ruan, Yong Wang, Hailong Jiang +2
Cloud systems are becoming increasingly powerful and complex. It is highly challenging to identify anomalous execution behaviors and pinpoint problems by examining the overwhelming…
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits
Daniel Oliveira, Edoardo Giusto, Betis Baheri +3
Quantum computing is one of the most promising technology advances of the latest years. Once only a conceptual idea to solve physics simulations, quantum computation is today a rea…
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes
Shaolun Ruan, Yong Wang, Qiang Guan
State change comparison of multiple data items is often necessary in multiple application domains, such as medical science, financial engineering, sociology, biological science, et…
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation
Yuxin Yang, Xitong Zhang, Qiang Guan +1
Deep learning and data-driven approaches have shown great potential in scientific domains. The promise of data-driven techniques relies on the availability of a large volume of hig…
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights
Bo Fang, Daoce Wang, Sian Jin +6
In recent years, the increasing complexity in scientific simulations and emerging demands for training heavy artificial intelligence models require massive and fast data accesses,…
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
Samuel A. Stein, Betis Baheri, Daniel Chen +5
In the past decade, remarkable progress has been achieved in deep learning related systems and applications. In the post Moore's Law era, however, the limit of semiconductor fabric…