Jerry Chou

TL;DR: FastQuery as discussed by the authors is a framework for processing large scientific datasets on modern supercomputing platforms, which is designed to reduce the search time from hours to tens of seconds by using state-of-the-art index and query technology.

TL;DR: This paper presents parallel I/O, analysis, and visualization results from a VPIC trillion particle simulation running on 120,000 cores, which produces ~30TB of data for a single timestep, and demonstrates the successful application of H5Part, a particle data extension of parallel HDF5, for writing the dataset at a significant fraction of system peak I-O rates.

TL;DR: This work designs a generic mapping mechanism and implements an efficient input and output interface for reading and writing the data and their corresponding indexes and develops a parallel strategy for indexing using threading technology.

TL;DR: An unsupervised real-time anomaly detection algorithm based on LSTM-based Auto-Encoder is proposed to improve the anomaly detection accuracy at an earlier stage of production line, so that cost and time wasted by possible production failures can be reduced.

TL;DR: This paper proposes and solves the cost optimization problem for scheduling DAGs on an IaaS cloud platform where task scheduling must cope with resource provisioning to achieve the optimal solution, and proposes both optimal and heuristic scheduling algorithms.