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Organization

Oak Ridge National Laboratory
Contributors
Scott Atchley
Ashley Barker
David Bernholdt
Debsindhu Bhowmik
Christopher Brumgard
Junghoon Chae
Jieyang Chen
Jong Choi
Mark Coletti
Ethan T. Coon
Ed D'Azevedo
Diego Del-Castillo-Negrete
Abhishek Dubey
Wael Elwasif
Chistrian Engelmann
Kate Evans
Shubhankar Gahlot
Al Geist
William Godoy
John Gounley
David L. Green
Steven Hamilton
Jesse Hanley
Oscar Hernandez
Benjamin Hernández
Jacob Hinkle
Travis Humble
Neena Imam
J. Travis Johnston
Yuya Kawakami
Paul Kent
Mark Kim
Scott Klasky
Doug Kothe
Nouamane Laanait
Seyong Lee
Dustin Leverman
Ying Wai Li
Seung-Hwan Lim
Qing Liu
Jeremy Logan
M. Graham Lopez
Dalton Lunga
Barney Maccabe
Ketan Maheshwari
Don D. March
George Markomanolis
Adam McDaniel
Kshitij Mehta
Verónica Melesse Vergara
Ross Miller
Jack Morrison
Thomas Naughton
Sarp Oral
Scott L. Painter
Thomas Papatheodore
Robert M. Patton
Himanshu Pillai
Norbert Podhorszki
Thomas E. Potok
David Pugmire
Nageswara Rao
Amy Rose
Piyush Sao
Catherine D. Schuman
Ada A. Sedova
Mallikarjun Shankar
Stuart Slattery
Brian E. Smith
Tjerk P. Straatsma
Eric Suchyta
Nicholas Thompson
Peter E. Thornton
Georgia Tourassi
Bruno Turcksin
Sudharshan Vazhkudai
Jeff Vetter
Lipeng Wan
Dali Wang
Feiyi Wang
Gregory R. Watson
Jack Wells
Ben Whitney
Matthew Wolf
Bing Xie
Junqi Yin
Hong-Jun Yoon
Steven R. Young
Christopher Zimmer
Session Chairs
Mark Ainsworth
Ashley Barker
Jack Dongarra
Christian Engelmann
Al Geist
Scott Klasky
Seung-Hwan Lim
Qing Liu
Verónica G. Melesse Vergara
Philip C. Roth
Suzy Tichenor
Sudharshan Vazhkudai
Becky Verastegui
Matthew Wolf
Presentations
Workshop
10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
Algorithms
Scalable Computing
W
Workshop
A Co-Design Study Of Fusion Whole Device Modeling Using Code Coupling
Big Data
Data Analytics
Data Management
W
Workshop
A Codesign Framework for Online Data Analysis and Reduction
Extreme Scale Computing
Scalable Computing
Scientific Workflows
W
Workshop
Acceleration of Hyperparameter Optimization via Task Parallelism for Information Extraction from Cancer Pathology Reports
Bioinformatics
Cancer
Computational Biology
Programming Systems
W
Birds of a Feather
Advanced Architecture Testbeds: Community Resources for Enhanced HPC Research
Architectures
Networks
TP
EX
EXH
Birds of a Feather
Americas HPC Collaboration
Collaborative Environments
HPC
TP
EX
EXH
Paper
An Evaluation of the CORAL Interconnects
Architectures
Benchmarks
Communication Optimization
Networks
Performance
Photonics
Silicon Fabrication
TP
Tutorial
Application Porting and Optimization on GPU-Accelerated POWER Architectures
Compiler Analysis and Optimization
Heterogeneous Systems
Performance
Tools
TUT
Workshop
Applying Machine Learning to Understand the Write Performance of Large-Scale Parallel Filesystems
Big Data
Data Analytics
Data Management
Storage
W
Tutorial
Better Scientific Software
Software Engineering
Tools
TUT
Birds of a Feather
Can Arm Take the Lead in HPC?
Architectures
HPC
State of the Practice
TP
EX
EXH
Students@SC
Career Panel Kick-Off: Doug Kothe, Delivering on the Exascale Computing Project Mission for the U.S. Department of Energy
Student Program
Workforce Development
TP
Students@SC
Careers in HPC Panel
Career Development
Student Program
TP
Workshop
Characterizing the Performance of Executing Many-Tasks on Summit
Compiler Analysis and Optimization
Middleware
Parallel Programming Languages, Libraries, and Models
Runtime Systems
W
Workshop
Deep Kernel Learning for Information Extraction from Cancer Pathology Reports
AI
Bioinformatics
Cancer
Computational Biology
Programming Systems
W
Workshop
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
Deep Learning
Scientific Computing
W
Panel
Developing Exascale-Capable Applications: Recent Progress and Lessons Learned from the Exascale Computing Project
TP
Early Career Program
Early Career Program: Key Professional Communications
Career Development
Diversity
Government Strategies, Programs, and Funding
Professional Development
Workforce Development
TP
Panel
Edge to Exascale : Computational Innovations in Cancer and the Future for Learning Health Systems
TP
Paper
End-to-End I/O Portfolio for the Summit Supercomputing Ecosystem
Architectures
Data Analytics
Data Management
I/O
Monitoring
TP
Workshop
Enhancing Monte Carlo Proxy Applications on GPUs
Benchmarks
Performance
Scientific Computing
Simulation
W
Workshop
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements
Big Data
Data Analytics
Datacenter
Networks
Software-defined networking
W
Workshop
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit
Deep Learning
Scientific Computing
W
Workshop
Exploring the Use of Novel Programming Models in Land Surface Models
Applications
MPI
Parallel Application Frameworks
Parallel Programming Languages, Libraries, and Models
Scalable Computing
W
ACM Gordon Bell Finalist
Awards Presentation
Fast, Scalable and Accurate Finite-Element Based Ab Initio Calculations Using Mixed Precision Computing: 46 PFLOPS Simulation of a Metallic Dislocation System
TP
Workshop
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training
Machine Learning
W
Workshop
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications
Scientific Workflows
Software Engineering
System Software
W
Paper
FT-iSort: Efficient Fault Tolerance for Introsort
Algorithms
Fault Tolerance
Machine Learning
Reliability
Resiliency
TP
Students@SC
Hands-On with the Summit Supercomputer
Student Program
Training
TP
Tutorial
High Performance I/O Frameworks 101
Data Analytics
Data Management
I/O
Introductory
TUT
Birds of a Feather
HPC System Testing: Procedures, Acceptance, Regression Testing, and Automation
Best Practices
State of the Practice
System Testing
TP
EX
EXH
Workshop
In Situ and In Transit Visualization for Numerical Simulations in HPC
Data Analytics
HPC
Scientific Computing
Visualization
W
Workshop
In Situ Particle Advection Via Parallelizing Over Particles
Data Analytics
HPC
Scientific Computing
Visualization
W
Workshop
ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Data Analytics
HPC
Scientific Computing
Visualization
W
Workshop
Keynote 1: Exascale Application Progress and Challenges
Algorithms
Scalable Computing
W
Workshop
Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP)
Scientific Workflows
Software Engineering
System Software
W
Workshop
Machine Learning in HPC Environments
Machine Learning
W
Workshop
MCHPC’19 Panel: Software and Hardware Support for Programming Heterogeneous Memory
HPC
Memory
OS and Runtime Systems
Runtime Systems
W
Workshop
Metadata Enabled Optimized Partitioning for M to N In Transit Processing with SENSEI
Data Analytics
HPC
Scientific Computing
Visualization
W
Paper
Moment Representation in the Lattice Boltzmann Method on Massively Parallel Hardware
Algorithms
Data Compression
Data Management
Graph Algorithms
I/O
Memory
Parallel Application Frameworks
Performance
TP
Workshop
Multi-Level Performance Instrumentation for Kokkos Applications Using TAU
Performance
Programming Systems
Visualization
W
Birds of a Feather
OpenACC API User Experience, Vendor Reaction, Relevance, and Roadmap
Programming Systems
TP
EX
EXH
Workshop
Opening Remarks: Machine Learning in HPC Environments
Machine Learning
W
Workshop
PAVE: An In Situ Framework for Scientific Visualization and Machine Learning Coupling
Big Data
Data Analytics
Data Management
W
Posters
Research Posters
Poster 104: An Adaptive Checkpoint Model For Large-Scale HPC Systems
TP
EX
EXH
ACM Student Research Competition: Graduate Posters
ACM Student Research Competition: Undergraduate Posters
Posters
Poster 1: Early Experiences on OpenPOWER Architecture: Analysis of Billion-Scale Atomistic Datasets
Student Program
TP
EX
EXH
Posters
Research Posters
Poster 50: Implementing an Adaptive Sparse Grid Discretization (ASGarD) for High Dimensional Advection-Diffusion Problems on Exascale Architectures
TP
EX
EXH
Posters
Research Posters
Poster 64: 416-PFLOPS Fast Scalable Implicit Solver on Low-Ordered Unstructured Finite Elements Accelerated by 1.10-ExaFLOPS Kernel with Reformulated AI-Like Algorithm: For Equation-Based Earthquake Modeling
TP
EX
EXH
Posters
Research Posters
Poster 72: Kokkos and Fortran in the Exascale Computing Project Plasma Physics Code XGC
TP
EX
EXH
Birds of a Feather
Quality Assurance and Coding Standards for Parallel Software
Coding Standards
Parallel Application Frameworks
Software Engineering
TP
EX
EXH
Birds of a Feather
Quantum Computing at the DOE Laboratories: Status and Future Directions
Government Strategies, Programs, and Funding
Quantum Computing
TP
EX
EXH
Panel
Reconfigurable Computing in HPC: Success Stories Today and Future?
TP
Birds of a Feather
Reconfigurable/FPGA Clusters for High Performance Computing
FPGA
Reconfigurable Computing
TP
EX
EXH
Workshop
Scalability and Data Security: Deep Learning with Health Data on Future HPC Platforms
Clouds and Distributed Computing
Interoperability
W
Workshop
Self-Stabilizing Connected Components
Extreme Scale Computing
Fault Tolerance
Reliability
Resiliency
W
Birds of a Feather
Software Engineering and Reuse in Modeling, Simulation, and Data Analytics for Science and Engineering
Scientific Computing
Software Engineering
TP
EX
EXH
Workshop
Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer
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
Birds of a Feather
The IO-500 and the Virtual Institute of I/O
Data Analytics
Storage
Visualization
TP
EX
EXH
Workshop
The ISAV 2019 UnPanel
Data Analytics
HPC
Scientific Computing
Visualization
W
Panel
The Road to Exascale and Beyond Is Paved by Software: How Algorithms, Libraries and Tools Will Make Exascale Performance Real
W
TUT
TP
EX
EXH
Workshop
Understanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression
Big Data
Data Analytics
Data Management
W
Tutorial
Using the SPEC HPG Benchmarks for Better Analysis and Evaluation of Current and Future HPC Systems
Benchmarks
Performance
TUT
Sessions
Students@SC
Decoding SC - How to Maximize Your Time at the Conference
Student Program
TP
Students@SC
Career Panel Kick-Off: Doug Kothe, Delivering on the Exascale Computing Project Mission for the U.S. Department of Energy
Student Program
TP
Workshop
The 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5)
Big Data
Data Analytics
Data Management
W
Students@SC
Careers in HPC Panel
Career Development
Student Program
TP
Students@SC
Parallel Algorithm Design
Algorithms
Student Program
TP
Students@SC
Perfecting Your Elevator Speech and Growing Your Professional Network
Career Development
Student Program
TP
Students@SC
Resume Workshop
Career Development
Student Program
TP
Reception
Exhibitors’ Reception
EX
Students@SC
How to Create and Deliver Effective Research Posters
Career Development
Student Program
TP
Workshop
Machine Learning in HPC Environments
Machine Learning
W
Workshop
10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
Algorithms
Scalable Computing
W
Workshop
ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Data Analytics
HPC
Scientific Computing
Visualization
W
Students@SC
Resume Workshop
Career Development
Student Program
TP
Students@SC
Modern Software Design, Tools, and Practices
Software Engineering
Student Program
TP
Paper
Performance Tools
Benchmarks
Data Analytics
Data Management
Memory
Performance
System Software
Tools
Visualization
TP
Paper
Network Congestion and Offload
Benchmarks
Data Analytics
Graph Algorithms
MPI
Networks
Performance
Resource Management
Simulation
Software-defined networking
Visualization
TP
Paper
Improving Next-Generation Performance and Resilience
Best Practices
Energy
Exascale
Machine Learning
Memory
Modelling
Networks
Performance
Power
Reliability
Reproducibility
TP
HPC Impact Showcase
HPC Impact Showcase for Paint Application, Offshore Engineering, and HPC Disaster Recovery
TP
EX
EXH
Reception
Technical Program Reception
TP
Students@SC
Hands-On with the Summit Supercomputer
Student Program
Training
TP
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