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Organization

University of Chicago
Contributors
Jason Anderson
Matthew E. Baughman
Andrew Chien
Frederic T. Chong
Austin Clyde
Emma Maitreyee Dasgupta
Yongshan Ding
Wushi Dong
Anshu Dubey
Yuanwei Fang
Ian Foster
Henry Hoffmann
Narayanan Kasthuri
Kate Keahey
Maxine V. King
Hanyu Li
Ping-Chang Lin
Peter Littlewood
Arjun Rawal
Hakizumwami Birali Runesha
Yunong Shi
Teodora Szasz
Justin M. Wozniak
Xin-Chuan Wu
Huazhe Zhang
Chen Zou
Session Chairs
Anshu Dubey
Nicola Ferrier
Ian Foster
Kate Keahey
Justin Wozniak
Presentations
Workshop
1st Annual Workshop on Large-Scale Experiment-in-the-Loop-Computing (XLOOP)
Experimental Datasets
High-fidelity Simulations
Scalable Computing
W
Workshop
A Study of Hydrodynamics Based Community Codes in the Astrophysics
Scientific Workflows
Software Engineering
System Software
W
Workshop
Aggregating Local Storage for Scalable Deep Learning I/O
Deep Learning
Scientific Computing
W
Workshop
Deep Learning on Supercomputers
Deep Learning
Scientific Computing
W
Paper
Full-State Quantum Circuit Simulation by Using Data Compression
Data Compression
Parallel Programming Languages, Libraries, and Models
Quantum Computing
Scalable Computing
Simulation
TP
Exhibitor Forum
Implementing Deep Learning in Prostate Cancer Diagnosis
AI
Applications
TP
EX
EXH
Workshop
Integrating High-Performance Simulations and Learning toward Improved Cancer Therapy
AI
Bioinformatics
Cancer
Computational Biology
Programming Systems
W
Paper
PoDD: Power-Capping Dependent Distributed Applications
Deep Learning
Energy
Extreme Scale Computing
Machine Learning
Performance
Power
Resource Management
Runtime Systems
Simulation
TP
BP Finalist
BSP Finalist
Posters
Research Posters
Poster 120: ILP-Based Scheduling for Linear-Tape Model Trapped-Ion Quantum Computers
TP
EX
EXH
Posters
Research Posters
Poster 122: Project 38: Accelerating Architecture Innovation into Fieldable Extreme-Scale Systems (A Cross-Agency Effort)
TP
EX
EXH
ACM Student Research Competition: Graduate Posters
ACM Student Research Competition: Undergraduate Posters
Posters
Poster 33: Enhancing Neural Architecture Search with Speciation and Inter-Epoch Crossover
Student Program
TP
EX
EXH
Posters
Research Posters
Poster 80: Sharing and Replicability of Notebook-Based Research on Open Testbeds
TP
EX
EXH
Workshop
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Deep Learning
Scientific Computing
W
Workshop
Scientific Image Restoration Anywhere
Experimental Datasets
High-fidelity Simulations
Scalable Computing
W
Sessions
Workshop
Deep Learning on Supercomputers
Deep Learning
Scientific Computing
W
Workshop
The 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5)
Big Data
Data Analytics
Data Management
W
Workshop
The 2019 International Workshop on Software Engineering for HPC-Enabled Research (SE-HER 2019)
Scientific Workflows
Software Engineering
System Software
W
Workshop
ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Data Analytics
HPC
Scientific Computing
Visualization
W
Workshop
1st Annual Workshop on Large-Scale Experiment-in-the-Loop-Computing (XLOOP)
Experimental Datasets
High-fidelity Simulations
Scalable Computing
W
Paper
Cloud Scheduling
Algorithms
Clouds and Distributed Computing
Machine Learning
Performance
Resiliency
Scheduling
TP
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