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University of Utah
Contributors
Marcus Adair
Tripti Agarwal
Orly Alter
Aditya Bhaskara
Johanna Cohoon
Harvey Dam
Eric Eide
Shireen Elhabian
Ganesh Gopalakrishnan
Priya Goyal
Mary Hall
Brian Haymore
Samantha Hirsch
Sameeran Joshi
Mokshagna Sai Teja Karanam
Tushar Kataria
Mahesh Lakshminarasimhan
LeAnn Lindsey
Manish Parashar
Valerio Pascucci
Jeff Phillips
Sri Priya Ponnapalli
Daniel Reed
Ivan Rodero
P. Sadayappan
Hari Sundar
Amir Mohammad Tavakkoli
Lizhi Xiang
Artem Yadrov
Mu Zhang
Tuowen Zhao
Session Chairs
Daniel A. Reed
Presentations
Birds of a Feather
A National Science Data Fabric to Democratize Data Access and Reusability
Cloud Computing
Distributed Computing
TP
XO/EX
Workshop
Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated Cyberinfrastructure
Applications
Cloud Computing
Distributed Computing
Edge Computing
Large Scale Systems
W
Birds of a Feather
Agriculture Empowered by Supercomputing
Applications
TP
XO/EX
Workshop
AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer
Applications
State of the Practice
W
Workshop
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report
Education
State of the Practice
W
Paper
Automatic Generation of Distributed-Memory Mappings for Tensor Computations
Artificial Intelligence/Machine Learning
Compilers
Performance Measurement, Modeling, and Tools
Performance Optimization
Programming Frameworks and System Software
Tensors
TP
Panel
Carbon-Neutrality, Sustainability, and HPC
Energy Efficiency
Green Computing
Sustainability
TP
Workshop
cuAlign: Scalable Network Alignment on GPU Accelerators
Algorithms
Applications
Architecture and Networks
W
Workshop
Democratizing Science through Equitable Access to Computing and Data
State of the Practice
W
Awards
Everywhere and Nowhere: Envisioning a Computing Continuum for Science
TP
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Fast Operations on Compressed Arrays without Decompression
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Cloud Computing
Distributed Computing
Data Analysis, Visualization, and Storage
Performance Measurement, Modeling, and Tools
Programming Frameworks and System Software
TP
XO/EX
Students@SC
Navigating Career Waters: Finding Your Perfect Career Fit across Industries
TP
W
TUT
XO/EX
Workshop
Performance Portability Evaluation of Blocked Stencil Computations on GPUs
Performance Measurement, Modeling, and Tools
Performance Optimization
W
Exhibits
SCinet
Students@SC - Breaking the Curse of Dimensionality of Tensors with Tensors (University of Utah)
TP
W
TUT
XO/EX
Workshop
TANGO: A GPU-Optimized Traceback Approach for Sequence Alignment Algorithms
Algorithms
Applications
Architecture and Networks
W
Birds of a Feather
TCHPC Career Panel
Education
TP
XO/EX
Birds of a Feather
Toward a National Artificial Intelligence (AI) Research Resource for Strengthening and Democratizing AI R&D
Artificial Intelligence/Machine Learning
TP
XO/EX
Panel
Understanding the Performance, Reproducibility, Validation, Portability, and Sustainability of Coupled HPC Simulation and Deep Learning Calculations
Artificial Intelligence/Machine Learning
Applications
Reproducibility
TP
W
TUT
XO/EX
Panel
Unleashing the Power within Data Democratization: Needs, Challenges, and Opportunities
Applications
Reproducibility
TP
Workshop
What Operations Can Be Performed Directly on Compressed Arrays and with What Error?
Data Analysis, Visualization, and Storage
Data Compression
W
Sessions
Panel
Carbon-Neutrality, Sustainability, and HPC
Energy Efficiency
Green Computing
Sustainability
TP
Awards
Test of Time
Test of Time Award Presentation
Applications
Architecture and Networks
Codesign
TP
W
Booth
543
Exhibitor Description
In addition to deploying and operating high performance computational resources and providing advanced user support and training, the Center for High Performance Computing (CHPC) serves as an expert team to broadly support the increasingly diverse research computing needs on the University of Utah campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, containers, machine learning and deep learning, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking.
Website
University of Utah