Zhang, Zhao; Huang, Lei; Pauloski, J. Gregory; Foster, Ian Efficient I/O for Neural Network Training with Compressed Data (2020)
Yu, Xiaodong; Wei, Fengguo; Ou, Xinming; Becchi, Michela; Bicer, Tekin; Yao, Danfeng GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting (2020)
Rao, Nageswara S. V.; Imam, Neena; Liu, Zhengchun; Kettimuthu, Rajkumar; Foster, Ian Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses Lecture Notes in Computer Science (2020)
Yun, Daqing; Liu, Wuji; Wu, Chase Q.; Rao, Nageswara S. V.; Kettimuthu, Rajkumar Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning (2020)
Shahzad, ; Jung, Eun-Sung; Chung, Joaquin; Kettimuthu, Rajkumar Enhanced Explicit Congestion Notification (EECN) in TCP with P4 Programming (2020)
Ward, Logan; Blaiszik, Ben; Foster, Ian; Assary, Rajeev; Narayanan, Badri; Curtiss, Larry Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations MRS communications (2019)
Abreha, Biruk; Agarwal, Snigdha; Foster, Ian; Blaiszik, Benjamin; Lopez, Steven Virtual Excited State Reference for the Discovery of Electronic Materials Database: An Open-Access Resource for Ground and Excited State Properties of Organic Molecules The Journal of Physical Chemistry Letters (2019)
Montella, Raffaele; Di Luccio, Diana; Marcellino, Livia; Galletti, Ardelio; Kosta, Sokol; Giunta, Giulio; Foster, Ian Workflow-based automatic processing for Internet of Floating Things crowdsourced data Future Generation Computer Systems (2019)
Brinckman, Adam; Chard, Kyle; Gaffney, Niall; Hategan, Mihael; Jones, Matthew B.; Kowalik, Kacper; Kulasekaran, Sivakumar; Ludascher, Bertram; Mecum, Bryce D. ; Nabrzyski, Jarek Computing environments for reproducibility: Capturing the "Whole Tale" Future Generation Computer Systems (2019)
Babuji, Yadu; Woodard, Anna; Li, Zhuozhao; Katz, Daniel; Clifford, Ben; Kumar, Rohan; Lacinski, Lukasz; Chard, Ryan; Wozniak, Justin; Foster, Ian; Wilde, Michael; Chard, Kyle Parsl: Pervasive Parallel Programming in Python (2019)